Heart FailureOPT-AINCT07372651
OPTimising a Screening Program to Detect Pacemaker-associated Heart Failure Using Artificial Intelligence
An observational study of Heart Failure and Pacemaker, run by University of Leeds at 1 site in United Kingdom.
Trial summary
Pacemakers are an effective treatment for slow heart rates which improve symptoms and save lives. However, for some people pacemakers can cause heart failure (HF) because of the unnatural way in which they stimulate heart beats. Read more about this study
- Who is it for?
- Ages 18 years and older
- Conditions the study is for
- Heart Failure, Pacemaker
- How many people
- 150 participants
- Where
- 1 siteUnited Kingdom
- Study dates
- 7 Oct 2025to Sep 2026
- Phase
- Observational
- Are there results?
- Not yet: the study is under way
Key requirements
Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.
- Ages 18 years and older
- All sexes
- No healthy volunteers
- Adult, Older adult
Study population: Patients with previously implanted pacemakers for bradycardia.
Who may be able to join
- Adult patients aged ≥18 years
- Patients with existing pacemakers who have a right ventricular pacing burden ≥20%.
- Ability to provide informed consent
Who cannot join
- Patients who are unwilling or unable to provide informed consent.
- Patients known to have heart failure
- Patients with any previous measurement of left ventricular ejection fraction <50%.
- Patients with conduction system pacemakers.
- Patients with cardiac resynchronisation therapy pacemakers/defibrillators.
- Patients with implantable cardioverter defibrillators.
- Patients with leadless pacemakers.
Trial locations and contacts
1 site in 1 country. Contact the study team or a site near you to ask about taking part.
United Kingdom1 site
Cardiovascular Research Facility, Leeds General Infirmary
Leeds, LS1 3EX
About this study
Pacemakers are an effective treatment for slow heart rates which improve symptoms and save lives. However, for some people pacemakers can cause heart failure (HF) because of the unnatural way in which they stimulate heart beats. In several studies conducted in West Yorkshire we showed that ~1/3 of patients with pacemakers have undiagnosed HF. We also showed that where HF is discovered, treating it with safe and inexpensive medications reduces the chances of being admitted to hospital or dying. However, detecting HF requires an echocardiogram (a heart ultrasound scan) which takes ~45 minutes, requires a skilled technician, and costs £120; or, to put it another way ~£540,000 to assess the ~4,500 patients cared for at our hospital. A new approach is needed. We think that using new technologies can improve our ability to screen for HF in people with pacemakers. We will test two approaches. First, we will assess whether a hand-held echocardiogram can measure heart function using artificial intelligence (AI) as accurately as a standard echocardiogram done by a skilled technician. Second, we will assess whether a finger-prick blood test can detect the presence of abnormal function as accurately as a standard echocardiogram.
Read the detailed description
Pacemakers are an effective treatment for slow heart rates which improve symptoms and save lives. However, for some people pacemakers can cause heart failure (HF) because of the unnatural way in which they stimulate heart beats. In several studies conducted in West Yorkshire we showed that ~1/3 of patients with pacemakers have undiagnosed HF. We also showed that where HF is discovered, treating it with safe and inexpensive medications reduces the chances of being admitted to hospital or dying. However, detecting HF requires an echocardiogram (a heart ultrasound scan) which takes ~45 minutes, requires a skilled technician, and costs £120; or, to put it another way ~£540,000 to assess the ~4,500 patients in Leeds. A new approach is needed. We think that using new technologies might improve our ability to screen for HF in people with pacemakers. Hand-held devices which are capable of cardiac imaging, and measurement of heart failure using Artificial Intelligence (AI) are now commercially available. However, these devices have not been specifically developed to detect heart dysfunction in people with pacemakers. Pacemakers result in a specific form of heart muscle weakness which is different to that caused by other conditions which result in HF, therefore it is essential to prove its accuracy before use in routine clinical practice. Another possible way to detect heart muscle weakness is by first screening patients with a blood test. N-terminal B- type natriuretic peptide (NT-proBNP) is a peptide released by the heart in response to strain or stress, and usually elevated in people with heart failure. Devices are now commercially available which can provide a measurement of NT-proBNP from a finger prick blood test, and crucially within a few minutes so that the result might be known during a patients routine appointment. Whilst this blood test cannot provide a diagnosis, it might help identify individuals who are at higher risk and should go on to have a standard echocardiogram.
To make participation as simple as possible, and to avoid unnecessary visits to the hospital, patients will be approached prior to their routine pacemaker clinic appointment. Patients who have pacemakers attend the hospital every 6-12 months in person to undergo a check of their pacemaker's battery life and function. All potential participants will be identified by a member the patient's direct care team according to the study inclusion criteria. We will recruit patients with pacemakers and right ventricular pacing burden (the percentage of heat beats which are due to the pacemaker) ≥20% - this is important as we know that the risk of heart muscle weakness is correlated with the percentage of paced beats, with ≥20% being an accepted cut-off supported by our own data. We will exclude patients unable or unwilling to participate. We will also exclude patients with cardiac devices which mitigate against the risk of heart muscle weakness, or those likely to have been implanted for the management of known heart failure (conduction system pacemakers, cardiac resynchronisation therapy pacemakers/defibrillators, implantable cardioverter defibrillators, leadless pacemakers, single chamber atrial pacemakers).
Potential participants will be sent an Invitation Letter and the Patient Information Sheet, offering them the opportunity to attend an appointment in the Leeds Cardiovascular Clinical Research Facility instead of their usual pacemaker clinic appointment. This will then be followed up by a telephone call from the direct care team, and only those who are potentially interested and confirm their agreement to have their information passed to the research team will be approached to arrange an appointment. On the day of the appointment, a member of the research team will approach the patient, explain the study and offer the opportunity to ask questions. Participants will have already had at least one week to read the Participants Information Sheet and consider whether they wish to take part. If willing to participate, they will then provide written consent to undertake the study procedures. All patients, regardless of whether they consent to participate, or not, will have a pacemaker safety check by an accredited cardiac physiologist. If patients agree to participate their appointment would last around one hour, for comparison a routine pacemaker appointment lasts around 20 minutes. Following the appointment their next appointment with their usual care team will be scheduled.
Generic study procedures: Participants will undergo a routine device interrogation by an accredited cardiac physiologist as per usual clinical care to confirm device functionality and right ventricular pacing burden ≥20%. For participants who consent to participate the research team will collect demographic and clinical information from their electronic healthcare record. Participants will then undergo point-of-care blood testing for NTpro-BNP, a hand-held echocardiogram and a standard cart-based echocardiogram. Point-of-care NTpro-BNP blood testing: LumiraDx (LumiraDx Ltd, Cayman Islands) is a quantitative point-of-care, fingerpick blood test capable of measuring various biomarkers using a micro-sample of blood obtained from a finger prick. NT-proBNP is a routine blood test used to diagnose and monitor heart failure. The LumiraDx can measure NTpro-BNP with only 20uL of blood, is highly portable, with a turn-around time of only 12 minutes - feasible within the time constraints of a standard pacemaker follow-up appointment. For the patient, this entails having a small quantify of blood taken from a finger prick. The process results in very minimal discomfort and is almost identical to blood sugar testing patients with diabetes are requiring to do several times per day. Afterwards a small amount of cotton wool is placed on the finger tip and pressure applied. Their technology has been validated in a study of 659 samples compared to gold-standard commercially available laboratory equipment (Roche Cobas Elecsys proBNP II assay) and found to have comparable accuracy (slope 0.86, intercept -4.12, r 0.97).
Hand-held cardiac ultrasound: participants will undergo a focussed hand-held echocardiogram with AI derived LVEF using the Kosmos platform (EchoNous Inc., Redmond, USA) a point-of-care, hand-held ultrasound device capable of cardiac imaging, which uses US2.AI (Ultrasound Anyone Anywhere, Singapore) integrated AI driven software capable of automated measurement of LVEF. The Kosmos platform assists the operator to obtain optimal images, prompts the image to be acquired when the image has been optimised, and provides an immediate measurement of LVEF. Existing data suggest the Kosmos platform is able to reliably detect abnormal LVEF in patients referred with suspected HF, however there are no data describing its use in a population with pacing-induced left ventricular dysfunction. Hand-held echocardiography will be done by a specialist nurse or cardiac physiologist who does not hold accreditation in echocardiography. They will have previously received focussed training in obtaining the images required, which will be deliberately limited (≤1 day) so as to ensure our findings are generalisable to teams without experience of echocardiography.
Standard cart-based cardiac ultrasound: participants will undergo a transthoracic echocardiogram by a senior cardiac physiologist accredited by the British Society of Echocardiography (or equivalent international body) using a GE Healthcare Vivid E95 Ultra Edition Cardiac Ultrasound. For the participant this involves lying semi-reclined on a couch, with ultrasound images obtained from four locations on the chest wall. The scan takes around 25 minutes to obtain the images (with an additional 20 minutes to take measurements and prepare the report) and poses no risk to the patient. A minimum dataset will be obtained with LVEF measured by the biplane method where possible, as well as assess for any (at least) moderate valvular disease or other finding which could result in a change to patient management.
This is a cross-sectional study, participants will be assessed at a single point in time. Provided there are no abnormal findings, participants will then be booked to attend their next scheduled pacemaker follow-up appointment as planned.
Any serious adverse event (SAE) occurring in a research participant, where, in the opinion of the Chief Investigator the event was related to the administration of any of the research procedures will be reported to the Sponsor (governance- ethics@leeds.ac.uk) within one working day of the research team's awareness. SAE will be recorded during the participant's visit, and documented in the electronic healthcare record. Untoward events which occur after the study visit has been completed or are not directly related to the study visit will not be reported. It is anticipated that during this study we will identify important heart muscle weakness, or other abnormal findings on cardiac ultrasound. These findings, and any untoward event which occur as a consequence of new diagnoses/findings (such as hospitalisation) will not be reported to the Sponsor of Research Ethics Committee as these are regarded as being part of the patient's usual clinical care.
- Conditions
- Heart Failure, Pacemaker
- Keywords
- Heart failure, Artificial intelligence, Pacemaker
- Medical subject headings
- Heart Failure
What is being measured
The primary outcome is the main question the study is designed to answer.
The accuracy of artificial intelligence derived left ventricular ejection fraction (LVEF) compared to expert sonographer measured LVEF
Determined by the individual equivalence coefficient of artificial intelligence (AI) derived left ventricular ejection fraction (LVEF) versus to sonographer measured LVEF. The accuracy of AI LVEF will be compared to sonographer measured LVEF for non-inferiority. The pre-determined non-inferiority margin is 0.25 for the upper bound of the 95% confidence interval for this comparison.
Measured: Day 1
Secondary outcomes (3)
Accuracy of artificial intelligence derived left ventricular ejection fraction of <50%
The accuracy of artificial intelligence derived left ventricular ejection fraction (LVEF) of <50% compared to standard cart-based echocardiography measurement of LVEF <50% by biplane method, determined by sensitivity, specificity, positive and negative predictive values.
Measured: Day 1
Prediction of left ventricular ejection fraction <50%
The incremental improvement of a model to predict left ventricular ejection fraction (LVEF) <50% in a population with pacemakers of the addition of artificial intelligence derived LVEF, point of care N-terminal B-type natriuretic peptide, or both.
Measured: Day 1
The utility of artificial intelligence echocardiography
The proportion of participants in whom it was not possible to determine artificial intelligence derived left ventricular ejection fraction (LVEF), LVEF measured by a sonographer using the biplane method, and subjective measurement of LVEF.
Measured: Day 1
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted28 Jan 2026
- Study start7 Oct 2025
- Primary completionSep 2026 (estimated)
- Study completionSep 2026 (estimated)
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Other trials for Heart FailureStudies of the same condition, open and under way.
- What the trial phases meanHow a treatment moves from first tests in people to approval.
More details
For doctors and researchers: how the study is designed, who runs it, and its registry IDs.
Study design
- Study type
- Observational
- Observational model
- Other
- Time perspective
- Cross-sectional
- Enrolment
- 150 participants (estimated)
Sponsor and investigators
- Lead sponsor
- University of Leeds
- Sponsor type
- University, hospital or other
- Collaborators
- Leeds Hospitals Charity
- Responsible party
- Principal investigator, Dr Sam Straw, University of Leeds
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT07372651
- Sponsor's protocol ID
- 2025-NCT11
- Acronym
- OPT-AI
- Status last verified
- Jan 2026
- First submitted
- 29 Sep 2025
- Last updated
- 28 Jan 2026
- Results posted
- No
- Data monitoring committee
- No
- FDA-regulated drug
- No
- FDA-regulated device
- No
- Individual data sharing
- No
Study at a glance
From the registry record, last updated by the sponsor on 28 Jan 2026. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- OPTimising a Screening Program to Detect Pacemaker-associated Heart Failure Using Artificial Intelligence
- ClinicalTrials.gov ID
- NCT07372651
- Acronym / sponsor ID
- OPT-AI / 2025-NCT11
- Conditions
- Heart Failure, Pacemaker
- Keywords
- Heart failure, Artificial intelligence, Pacemaker
- Study type
- Observational
- Recruitment status
- Enrolling by invitation
- Enrolment
- 150 participants (estimated)
- Lead sponsor
- University of LeedsUniversity, hospital or other
- Collaborators
- Leeds Hospitals Charity
- Study start
- 7 Oct 2025 (actual)
- Primary completion
- Sep 2026 (estimated)
- Study completion
- Sep 2026 (estimated)
- First posted
- 28 Jan 2026 (actual)
- Results
- Not posted in the source record
Clinical summary
The research question as the sponsor registered it. This describes what the study plans to test, not what it found.
Pacemakers are an effective treatment for slow heart rates which improve symptoms and save lives. However, for some people pacemakers can cause heart failure (HF) because of the unnatural way in which they stimulate heart beats. In several studies conducted in West Yorkshire we showed that ~1/3 of patients with pacemakers have undiagnosed HF. We also showed that where HF is discovered, treating it with safe and inexpensive medications reduces the chances of being admitted to hospital or dying. However, detecting HF requires an echocardiogram (a heart ultrasound scan) which takes ~45 minutes, requires a skilled technician, and costs £120; or, to put it another way ~£540,000 to assess the ~4,500 patients cared for at our hospital. A new approach is needed. We think that using new technologies can improve our ability to screen for HF in people with pacemakers. We will test two approaches. First, we will assess whether a hand-held echocardiogram can measure heart function using artificial intelligence (AI) as accurately as a standard echocardiogram done by a skilled technician. Second, we will assess whether a finger-prick blood test can detect the presence of abnormal function as accurately as a standard echocardiogram.
Detailed description
Pacemakers are an effective treatment for slow heart rates which improve symptoms and save lives. However, for some people pacemakers can cause heart failure (HF) because of the unnatural way in which they stimulate heart beats. In several studies conducted in West Yorkshire we showed that ~1/3 of patients with pacemakers have undiagnosed HF. We also showed that where HF is discovered, treating it with safe and inexpensive medications reduces the chances of being admitted to hospital or dying. However, detecting HF requires an echocardiogram (a heart ultrasound scan) which takes ~45 minutes, requires a skilled technician, and costs £120; or, to put it another way ~£540,000 to assess the ~4,500 patients in Leeds. A new approach is needed. We think that using new technologies might improve our ability to screen for HF in people with pacemakers. Hand-held devices which are capable of cardiac imaging, and measurement of heart failure using Artificial Intelligence (AI) are now commercially available. However, these devices have not been specifically developed to detect heart dysfunction in people with pacemakers. Pacemakers result in a specific form of heart muscle weakness which is different to that caused by other conditions which result in HF, therefore it is essential to prove its accuracy before use in routine clinical practice. Another possible way to detect heart muscle weakness is by first screening patients with a blood test. N-terminal B- type natriuretic peptide (NT-proBNP) is a peptide released by the heart in response to strain or stress, and usually elevated in people with heart failure. Devices are now commercially available which can provide a measurement of NT-proBNP from a finger prick blood test, and crucially within a few minutes so that the result might be known during a patients routine appointment. Whilst this blood test cannot provide a diagnosis, it might help identify individuals who are at higher risk and should go on to have a standard echocardiogram.
To make participation as simple as possible, and to avoid unnecessary visits to the hospital, patients will be approached prior to their routine pacemaker clinic appointment. Patients who have pacemakers attend the hospital every 6-12 months in person to undergo a check of their pacemaker's battery life and function. All potential participants will be identified by a member the patient's direct care team according to the study inclusion criteria. We will recruit patients with pacemakers and right ventricular pacing burden (the percentage of heat beats which are due to the pacemaker) ≥20% - this is important as we know that the risk of heart muscle weakness is correlated with the percentage of paced beats, with ≥20% being an accepted cut-off supported by our own data. We will exclude patients unable or unwilling to participate. We will also exclude patients with cardiac devices which mitigate against the risk of heart muscle weakness, or those likely to have been implanted for the management of known heart failure (conduction system pacemakers, cardiac resynchronisation therapy pacemakers/defibrillators, implantable cardioverter defibrillators, leadless pacemakers, single chamber atrial pacemakers).
Potential participants will be sent an Invitation Letter and the Patient Information Sheet, offering them the opportunity to attend an appointment in the Leeds Cardiovascular Clinical Research Facility instead of their usual pacemaker clinic appointment. This will then be followed up by a telephone call from the direct care team, and only those who are potentially interested and confirm their agreement to have their information passed to the research team will be approached to arrange an appointment. On the day of the appointment, a member of the research team will approach the patient, explain the study and offer the opportunity to ask questions. Participants will have already had at least one week to read the Participants Information Sheet and consider whether they wish to take part. If willing to participate, they will then provide written consent to undertake the study procedures. All patients, regardless of whether they consent to participate, or not, will have a pacemaker safety check by an accredited cardiac physiologist. If patients agree to participate their appointment would last around one hour, for comparison a routine pacemaker appointment lasts around 20 minutes. Following the appointment their next appointment with their usual care team will be scheduled.
Generic study procedures: Participants will undergo a routine device interrogation by an accredited cardiac physiologist as per usual clinical care to confirm device functionality and right ventricular pacing burden ≥20%. For participants who consent to participate the research team will collect demographic and clinical information from their electronic healthcare record. Participants will then undergo point-of-care blood testing for NTpro-BNP, a hand-held echocardiogram and a standard cart-based echocardiogram. Point-of-care NTpro-BNP blood testing: LumiraDx (LumiraDx Ltd, Cayman Islands) is a quantitative point-of-care, fingerpick blood test capable of measuring various biomarkers using a micro-sample of blood obtained from a finger prick. NT-proBNP is a routine blood test used to diagnose and monitor heart failure. The LumiraDx can measure NTpro-BNP with only 20uL of blood, is highly portable, with a turn-around time of only 12 minutes - feasible within the time constraints of a standard pacemaker follow-up appointment. For the patient, this entails having a small quantify of blood taken from a finger prick. The process results in very minimal discomfort and is almost identical to blood sugar testing patients with diabetes are requiring to do several times per day. Afterwards a small amount of cotton wool is placed on the finger tip and pressure applied. Their technology has been validated in a study of 659 samples compared to gold-standard commercially available laboratory equipment (Roche Cobas Elecsys proBNP II assay) and found to have comparable accuracy (slope 0.86, intercept -4.12, r 0.97).
Hand-held cardiac ultrasound: participants will undergo a focussed hand-held echocardiogram with AI derived LVEF using the Kosmos platform (EchoNous Inc., Redmond, USA) a point-of-care, hand-held ultrasound device capable of cardiac imaging, which uses US2.AI (Ultrasound Anyone Anywhere, Singapore) integrated AI driven software capable of automated measurement of LVEF. The Kosmos platform assists the operator to obtain optimal images, prompts the image to be acquired when the image has been optimised, and provides an immediate measurement of LVEF. Existing data suggest the Kosmos platform is able to reliably detect abnormal LVEF in patients referred with suspected HF, however there are no data describing its use in a population with pacing-induced left ventricular dysfunction. Hand-held echocardiography will be done by a specialist nurse or cardiac physiologist who does not hold accreditation in echocardiography. They will have previously received focussed training in obtaining the images required, which will be deliberately limited (≤1 day) so as to ensure our findings are generalisable to teams without experience of echocardiography.
Standard cart-based cardiac ultrasound: participants will undergo a transthoracic echocardiogram by a senior cardiac physiologist accredited by the British Society of Echocardiography (or equivalent international body) using a GE Healthcare Vivid E95 Ultra Edition Cardiac Ultrasound. For the participant this involves lying semi-reclined on a couch, with ultrasound images obtained from four locations on the chest wall. The scan takes around 25 minutes to obtain the images (with an additional 20 minutes to take measurements and prepare the report) and poses no risk to the patient. A minimum dataset will be obtained with LVEF measured by the biplane method where possible, as well as assess for any (at least) moderate valvular disease or other finding which could result in a change to patient management.
This is a cross-sectional study, participants will be assessed at a single point in time. Provided there are no abnormal findings, participants will then be booked to attend their next scheduled pacemaker follow-up appointment as planned.
Any serious adverse event (SAE) occurring in a research participant, where, in the opinion of the Chief Investigator the event was related to the administration of any of the research procedures will be reported to the Sponsor (governance- ethics@leeds.ac.uk) within one working day of the research team's awareness. SAE will be recorded during the participant's visit, and documented in the electronic healthcare record. Untoward events which occur after the study visit has been completed or are not directly related to the study visit will not be reported. It is anticipated that during this study we will identify important heart muscle weakness, or other abnormal findings on cardiac ultrasound. These findings, and any untoward event which occur as a consequence of new diagnoses/findings (such as hospitalisation) will not be reported to the Sponsor of Research Ethics Committee as these are regarded as being part of the patient's usual clinical care.
Study design
- Observational model
- Other
- Time perspective
- Cross-sectional
Who may qualify
- Ages
- 18 years and older
- Sex
- All
- Healthy volunteers
- Not accepted
- Age groups
- Adult, Older adult
- Study population
- Patients with previously implanted pacemakers for bradycardia.
Key inclusion criteria (3 listed)
- Adult patients aged ≥18 years
- Patients with existing pacemakers who have a right ventricular pacing burden ≥20%.
- Ability to provide informed consent
Key exclusion criteria (7 listed)
- Patients who are unwilling or unable to provide informed consent.
- Patients known to have heart failure
- Patients with any previous measurement of left ventricular ejection fraction <50%.
- Patients with conduction system pacemakers.
- Patients with cardiac resynchronisation therapy pacemakers/defibrillators.
Eligibility is decided by the study team after screening; this overview does not establish that a patient qualifies. Full inclusion and exclusion criteria.
Primary outcome
The accuracy of artificial intelligence derived left ventricular ejection fraction (LVEF) compared to expert sonographer measured LVEF
Time frame: Day 1
Determined by the individual equivalence coefficient of artificial intelligence (AI) derived left ventricular ejection fraction (LVEF) versus to sonographer measured LVEF. The accuracy of AI LVEF will be compared to sonographer measured LVEF for non-inferiority. The pre-determined non-inferiority margin is 0.25 for the upper bound of the 95% confidence interval for this comparison.
3 secondary outcomes
Accuracy of artificial intelligence derived left ventricular ejection fraction of <50%
Time frame: Day 1
Prediction of left ventricular ejection fraction <50%
Time frame: Day 1
The utility of artificial intelligence echocardiography
Time frame: Day 1
Results and safety
This study is still under way. Results are not available in the source record yet.
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 28 Jan 2026.
- Individual participant dataSharing planned: No
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Referral and contact
AzTrials does not enrol participants or take referrals. Contact the study team or a site listed below; they decide who can take part.
The record lists no contact. Use the official record to reach the sponsor.
1 site in 1 country: see every site and its status.
Questions about this trial
What is this clinical trial studying?
An observational study of Heart Failure and Pacemaker, run by University of Leeds at 1 site in United Kingdom.
The full registered description is in the About this study section and the official record.
Who may be eligible to take part?
The sponsor lists 3 inclusion and 7 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.
Is this clinical trial currently recruiting?
The record says: enrolling by invitation, as of the sponsor's last update on 28 Jan 2026. Status can change between updates, so confirm with the study contact before making plans.
Where is the study taking place?
The record lists 1 site in United Kingdom. Whether a site is taking part right now should be confirmed with that site. See every site.
What are the possible benefits and risks?
They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.
Are results available for this study?
This study is still under way. Results are not available in the source record yet.
How can a doctor refer a patient or contact the research team?
The record lists no contact. The official record names the sponsor, who can be asked directly. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
The accuracy of artificial intelligence derived left ventricular ejection fraction (LVEF) compared to expert sonographer measured LVEF (time frame: Day 1). It is what the study was designed to measure, not a finding.
Where can I read the original study information?
Does a listing mean the treatment is approved or proven to work?
No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.
How often is this information updated?
AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 28 Jan 2026.