Clinical trials: Artificial Intelligence Algorithms
Sjogren's Syndrome
An AI Algorithm for Lymphocyte Focus Score of Minor Salivary Gland Biopsy Samples for Diagnosing Sjogren's Syndrome
The aim of this research is to discover an artificial intelligence (AI) algorithm for lymphocyte focus score in whole slide images of labial minor salivary gland (SG) biopsy samples for diagnosing Sjogren's Syndrome, in order to…
- Trial name
- NCT06437652
- Where
- China
- Volunteers
- 1,000 people
- Sponsor
- Sun Yat-Sen Memorial Hospital of Sun Yat-Sen University
Anxiety Disorders, Major Depressive Disorder
Acquisition and Analysis of Relationships Between Longitudinal Emotional Signals Produced by an Artificial Intelligence Algorithm and Self-questionnaires Used in the Psychiatric Follow-up of Patients With Mood and/or Anxiety Disorders: a Real-Environment Study.
The worldwide prevalence of anxiety and depression increased massively during the pandemic, with a 25% rise in the number of patients suffering from psychological distress.
- Trial name
- EMOACQ-1 (NCT05988840)
- Testing
- Acquisition and analysis of relationships between Longitudinal Emotional Signals produced by a software and Self-questionnaires.
- Volunteers
- 50 people, healthy volunteers welcome
- Sponsor
- Emobot
Heart Valve Disease, TAVI
Enhanced Valves Interventions and Safe AI Generated End Results
This non-interventional study aims to use artificial intelligence to improve the prediction of transcatheter heart valve interventions and optimize patient outcomes.
- Conditions
- Heart Valve Disease, TAVI, M-TEER, TTVI
- Trial name
- ENVISAGE (NCT07213531)
- Testing
- Medical imaging analysis via artificial intelligence algorithms
- Where
- 15 sites in United States, Canada and 3 more
- Volunteers
- 21,000 people
- Sponsor
- Montreal Heart Institute
Point-of-care Ultrasound
AI for Gastric POCUS ( Point-of-care Ultrasound)
The goal of this observational study is to train and test an AI (Artificial Intelligence)-based program to assist anesthesiologists in the interpretation of stomach ultrasound images and differentiate a "full" from an "empty"…
- Trial name
- POCUS (NCT07580456)
- Where
- Canada
- Volunteers
- 30 people, healthy volunteers welcome
- Sponsor
- University Health Network, Toronto
Spinal Anesthesia Induced Hypotension, Caeserian Section
AI Prediction of Post-Induction Hypotension in Cesarean Sections With Spinal Anesthesia
The cesarean section, medically necessary for both the mother and the baby in certain cases, is a life-saving operation.The most commonly used anesthesia method worldwide is spinal anesthesia.
- Trial name
- NCT06158542
- Testing
- Spinal Anesthesia, Blood Sampling
- Where
- Turkey (Türkiye)
- Volunteers
- 370 people
- Sponsor
- Hacettepe University
Growth, Neonates
Improving Artificial Intelligence-derived Algorithms for Estimating Length and Weight in NEonateS and infanTs up to 6 Months of Age (NEST)
The NEST study is a prospective, observational research study designed to collect clinical measurements and image data to develop and evaluate artificial intelligence (AI)-derived algorithms for estimating anthropometric…
- Conditions
- Growth, Neonates, AI (Artificial Intelligence)
- Trial name
- NEST (NCT07514182)
- Where
- Singapore
- Volunteers
- 60 people
- Sponsor
- Danone Asia Pacific Holdings Pte, Ltd.
Invasive Mechanical Ventilation
Evaluation and Further Development of an Artificial Intelligence-based Algorithm for Clinical Decision Support
Invasive mechanical ventilation is one of the most important and life-saving therapies in the intensive care unit (ICU). In most severe cases, extracorporeal lung support is initiated when mechanical ventilation is insufficient.
- Trial name
- IntelliLung (NCT05668637)
- Testing
- Artificial Intelligence-based Decision support
- Where
- 8 sites in United States, Germany and 3 more
- Volunteers
- 318,542 people
- Sponsor
- Technische Universität Dresden
IVF Outcomes
Ovarian Stimulation Outcomes During a GnRH Antagonist Protocol for In-vitro Fertilization When Comparing Trigger Day Decision by Physicians Versus an Artificial Intelligence-based Algorithm.
To compare the number of mature oocytes following a GnRH antagonist in-vitro fertilization stimulation cycle when comparing trigger day timing decision by physicians versus an artificial intelligence-based algorithm
- Trial name
- NCT07110285
- Testing
- Artificial intelligence-based algorithm
- Where
- Israel
- Volunteers
- 180 people
- Sponsor
- FertilAI
Pregnancy
Clinical Data Collection for Obstetric Ultrasound Algorithms
The goal of this clinical trial is to Collect ultrasound data from pregnant and non-pregnant individuals presenting to multiple study sites.
- Trial name
- MOBUS (NCT06742229)
- Testing
- Research Ultrasound scan
- Where
- 3 sites in United States
- Volunteers
- 700 people, healthy volunteers welcome
- Sponsor
- Caption Health, Inc.
Trauma (Including Fractures)
Artificial Intelligence Algorithm for the Interpretation of Traumatic Bone Radiographs
This diagnostic study aims to compare the performance of an artificial intelligence (AI) algorithm designed to assist in the interpretation of traumatic bone radiographs (all anatomical regions excluding the thorax) with that of…
- Trial name
- AI-Traumat (NCT07329881)
- Where
- Tunisia
- Volunteers
- 500 people
- Sponsor
- Hôpital Universitaire Sahloul
Respiratory Failure
Patient-Ventilator Dyssynchrony Detection With a Machine Learning Algorithm
This is a diagnostic study aiming to compare accuracy to detect and classify patient-ventilator dyssynchronies by a machine learning algorithm, compared to the gold-standard defined as dyssynchronies diagnosed and classified by…
- Trial name
- NCT06506123
- Testing
- Artificial Intelligence Detection and Classification of Patient-Ventilator Dyssynchronies
- Where
- Brazil
- Volunteers
- 80 people
- Sponsor
- University of Sao Paulo General Hospital
Coagulopathy
Assessment of Artificial Intelligence Algorithms for ROTEM
The goal of this observational validation study is to evaluate whether artificial intelligence (AI) models can accurately interpret ROTEM (Rotational Thromboelastometry) data and provide appropriate treatment recommendations in…
- Trial name
- NCT07043556
- Testing
- Artificial Intelligence-Based ROTEM Interpretation
- Where
- 2 sites in Turkey (Türkiye)
- Sponsor
- Ondokuz Mayıs University
Hepatocellular Carcinoma
A Prototype AI Algorithm Versus Liver Imaging Reporting and Data System (LI-RADS) Criteria in Diagnosing HCC on CT
This study aims to prospective validate this AI algorithm in comparison with the current standard of radiological reporting in a randomized manner in the at-risk population undergoing triphasic contrast CT.
- Trial name
- Hepatocellular (NCT06626087)
- Testing
- Prototype artificial intelligence algorithm, LI-RADS
- Where
- 2 sites in Hong Kong
- Volunteers
- 300 people
- Sponsor
- The University of Hong Kong
Melanoma (Skin), Melanoma in Situ
Research of Pathological Imaging Diagnosis of Ocular Tumors Based on New Artificial Intelligence Algorithm
The purpose of this study is to establish a standardized process for obtaining digital pathological image information of ocular tumors; use modern pathological techniques to obtain the co-expression information of multiple…
- Conditions
- Melanoma (Skin), Melanoma in Situ, Nevus Eye, Sebaceous Gland Carcinoma of the Eyelid
- Trial name
- NCT04695015
- Volunteers
- 100 people
- Sponsor
- Peking University
Atrial Fibrillation
A Study on the Effectiveness of the Application of an Artificial Intelligence Algorithm for Calibrating PPG With ECG to Improve the Accuracy of Atrial Fibrillation Burden Estimation
Use the ECG watch to collect W-PPG and W-ECG data. Through artificial intelligence algorithms, compare the W-PPG data collected by the ECG watch and the W-PPG data calibrated by the W-ECG data of the ECG watch with the P-ECG data…
- Trial name
- EASE-AF (NCT06552468)
- Testing
- AF monitoring by a smartwatch with PPG
- Where
- China
- Volunteers
- 1,054 people
- Sponsor
- Beijing Anzhen Hospital
Ovarian Cancer
Detection of Ovarian Cancer Using an Artificial Intelligence Enabled Transvaginal Ultrasound Imaging Algorithm
Ovarian cancer is relatively rare but fatal with an annual incidence rate of 11.8 per 100 000 and a high mortality-to-incidence ratio of >0.6.
- Trial name
- NCT04214782
- Testing
- Artificial Intelligence Enabled Transvaginal Ultrasound Imaging algorithm
- Volunteers
- 10,000 people
- Sponsor
- Tongji Hospital
Sepsis
A Clinical Trial to Evaluate the Efficacy of the Morley Medical Sepsis (MMS) Software Device in Predicting Sepsis in Adult Patients Using Artificial Intelligence (AI) Machine Learning Algorithms
This is a pivotal medical device clinical trial evaluating the clinical outcomes in hospitalized patients monitored with the Morley Medical Sepsis Software Device.
- Trial name
- NCT04606862
- Testing
- Morley Medical Sepsis Software Device
- Volunteers
- 10,000 people, healthy volunteers welcome
- Sponsor
- Morley Medical
Pulmonary Hypertension, Cardiovascular Diseases (CVD)
Pulmonary Arterial Hypertension and Associated Cardiovascular Disease Detection Using Artificial Intelligence
Cardiovascular disease (CVD) is a leading global cause of morbidity and mortality and excessive healthcare expenditures. Pulmonary hypertension (PH) represents an insidious and progressive subset of CVD affecting an estimated 1%…
- Trial name
- PULSAR (NCT07147725)
- Testing
- AI Stethoscope
- Where
- United Kingdom
- Volunteers
- 1,000 people, healthy volunteers welcome
- Sponsor
- Imperial College London
Laparoscopic Pancreaticoduodenectomy
Establishment and Application of an Artificial Intelligence Algorithm for Automatic Identification of Intraoperative Bleeding During Laparoscopic Pancreaticoduodenectomy
Surgeons will label surgical videos of laparoscopic pancreaticoduodenectomy with bleeding information from multicenter. The labeled surgical video will be used as training material to train the algorithmic model so as to build an…
- Trial name
- NCT06172062
- Testing
- laparoscopic pancreaticoduodenectomy
- Where
- China
- Volunteers
- 400 people
- Sponsor
- Xinrui Zhu，MD
Prostate Cancer
Threedimensional Multiparametric Ultrasound for Prostate Cancer Detection
Rationale: Current imaging techniques for the detection and grading of prostate cancer are imperfect, leading to unnecessary biopsies, suboptimal treatment decisions and missed clinically significant cancers.
- Trial name
- 3DmpUS for PCa (NCT04605276)
- Testing
- No intervention
- Where
- 3 sites in Netherlands
- Volunteers
- 608 people
- Sponsor
- Academisch Medisch Centrum - Universiteit van Amsterdam (AMC-UvA)