Clinical trials: Artificial Intelligence Algorithms
Heart Failure, Diastolic, Echocardiography
Assessment of Left Ventricular Filling Pressure by Applying Artificial Intelligence Algorithms to Left Atrial Speckle-tracking Echocardiography
The goal of this single-center, prospective, observational study is to validate a software package based on an artificial intelligence algorithm for automated non-invasive estimation of LVFP against invasively measured ones by…
- Trial name
- LVEDP (NCT05768698)
- Testing
- Software algorithm
- Where
- United States
- Volunteers
- 20 people
- Sponsor
- Istituto Auxologico Italiano
Patients With Biliary Stricture Treated During ERCP With Available MRCP and Abdominal CT Scan
Preclinical Development of a 3D Bili-MRI Reconstruction Tool and an Artificial Intelligence Algorithm to Assist Endoscopists in Performing Endoscopic Retrograde Cholangiopancreatography (ERCP)
ERCP is a complex interventional endoscopic procedure based on 2D visualization of the biliary tract. 3D modeling and AI are promising solutions to improve navigation and safety during ERCP.
- Trial name
- MAAGIE (NCT07401485)
- Testing
- retrospective study based on data already collected during routine care (no intervention)
- Where
- France
- Volunteers
- 100 people
- Sponsor
- Assistance Publique - Hôpitaux de Paris
Gastrointestinal Disease
Deep Learning Algorithm for the Diagnosis of Gastrointestinal Diseases Depending on Tongue Images
The purpose of this study is to analysize the relationship between the characteristics of tongue image and the diagnosis of gastrointestinal diseases , then develop and validate a deep learning algorithm for the diagnosis of…
- Trial name
- NCT04811599
- Where
- China
- Volunteers
- 2,000 people, healthy volunteers welcome
- Sponsor
- Shandong University
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
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
Basal Cell Cancer
AI in Histipathological Diagnosis of Bcc
The goal of this study is to evaluate the diagnostic performance of an Artificial Intelligence (AI) algorithm in the histopathological diagnosis of bcc compared to certified dermatopathologists
- Trial name
- AI\bcc (NCT07786376)
- Where
- Egypt
- Volunteers
- 50 people, healthy volunteers welcome
- Sponsor
- Al-Azhar University
Autism Spectrum Disorder
Exploring the Gut-Brain-Behavior Axis With Biomarkers, Probiotic Efficacy, and Artificial Intelligence Algorithms
With an increased prevalence of autism spectrum disorder (ASD) worldwide and in Taiwan, ASD demands urgent attention due to its lasting impact, unclear causes, and limited diagnostic and treatment options.
- Trial name
- NCT06677840
- Where
- Taiwan
- Volunteers
- 110 people
- Sponsor
- National Taiwan University Hospital
Myocardial Infarction or Chest Pain
ROMIAE (Rule-Out Acute Myocardial Infarction Using Artificial Intelligence Electrocardiogram Analysis) Trial
This study is a prospective multicenter observational study for external validation and model advancement of a deep learning based 12-lead electrocardiogram analysis algorithm targeting adult patients presenting to the emergency…
- Trial name
- ROMIAE (NCT05435391)
- Where
- South Korea
- Volunteers
- 8,814 people
- Sponsor
- CHA University
Bone Age
Validation of an Artificial Intelligence-based Algorithm for Skeletal Age Assessment
The purpose of this study is to understand the effects of using an Artificial Intelligence algorithm for skeletal age estimation as a computer-aided diagnosis (CADx) system.
- Trial name
- NCT03530098
- Testing
- BoneAgeModel
- Where
- 6 sites in United States
- Volunteers
- 1,903 people
- Sponsor
- Stanford University
Fetal Anomaly, Brain Malformation
Artificial Intelligence Algorithm for the Screening of Abnormal Fetal Brain Findings at First Trimester Ultrasound Scan
Visualization of the posterior fossa brain spaces, their spatial relationship and measurements can be obtained in the midsagittal view of fetal head, the same used for NT measurement (9), and plays an important role in the early…
- Trial name
- AIRFRAME (NCT05790473)
- Testing
- Artificial Intelligence
- Where
- Italy
- Volunteers
- 10,000 people, healthy volunteers welcome
- Sponsor
- Fondazione Policlinico Universitario Agostino Gemelli IRCCS
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
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
Iron Deficiency
A Study to Collect Data to Build Artificial Intelligence Derived Algorithms for Estimating Iron Status of Children
An exploratory study to collect data to build artificial intelligence derived algorithms for estimating iron status in children
- Trial name
- FERROUS 2 (NCT06577727)
- Testing
- Gold standard blood test, Imaging and videography of anatomical sites
- Where
- 2 sites in Singapore, Thailand
- Volunteers
- 250 people, healthy volunteers welcome
- Sponsor
- Danone Asia Pacific Holdings Pte, Ltd.
Breast Cancer Diagnosis
Artificial Intelligence for Automated Diagnosis of Breast Cancer
Mammography is a two-dimensional imaging technique which involves the tissues overlapping under the projective image; dense glandular tissue above or below the lesion can reduce the visibility of the lesion.
- Trial name
- AICAMAMMELLA (NCT05858762)
- Testing
- Breast digital tomosynthesis
- Where
- 2 sites in Italy
- Volunteers
- 200 people
- Sponsor
- Regina Elena Cancer Institute
Cervical Cancer, Diagnostic Platform
Artificial Intelligence Enables Precision Diagnosis of Cervical Cytology Grades and Cervical Cancer
Cervical cancer, the fourth most common cancer globally and the fourth leading cause of cancer-related deaths, can be effectively prevented through early screening.
- Conditions
- Cervical Cancer, Diagnostic Platform, Diagnosing Cervical Cytology Grades and Cancer, Artificial Intelligence
- Trial name
- NCT04551287
- Where
- 3 sites in China
- Volunteers
- 16,164 people, healthy volunteers welcome
- Sponsor
- Sun Yat-Sen Memorial Hospital of Sun Yat-Sen University
Healthy Volunteer
The Accuracy and Efficacy of AI-driven tVNS Algorithm
Pain, including somatic and visceral pain, is a common symptom. Persistent pain can lead to repetitive visits to hospitals and can limit patients' daily activities, which can result in tremendous medical cost and lower quality of…
- Trial name
- NCT05215756
- Testing
- transcutaneous vagal nerve stimulation
- Where
- United Kingdom
- Volunteers
- 12 people, healthy volunteers welcome
- Sponsor
- Queen Mary University of London
Fetal Anomalies, Brain Malformation
AIRFRAME: Artificial Intelligence for Recognition of Fetal bRain AnoMaliEs at Second Trimester Fetal Brain Scan
Obstetric ultrasound represents the standard of care for the screening of the fetal anomalies. However, its performance is dependent upon several parameters including type of anomaly, gestational age, maternal habitus and skills…
- Trial name
- AIRFRAME (NCT06675266)
- Testing
- Development of AI algorithm for early detection of fetal brain anomalies in the second trimester screening scan
- Where
- Italy
- Volunteers
- 10,000 people, healthy volunteers welcome
- Sponsor
- Fondazione Policlinico Universitario Agostino Gemelli IRCCS
Delivery Complication, Delivery Problem
Delivery Outcomes by AIDA (Artificial Intelligence Dystocia Algorithm) Analysis
Aims: Primary aim is to investigate outcomes of eutocic labor, evaluating intrapartum ultrasound parameters by AIDA method: Angle of progression (AoP), Asynclitism degree (AD), fetal head-symphysis distance (HSD), and midline…
- Conditions
- Delivery Complication, Delivery Problem, Delivery; Injury, Delivery; Injury, Maternal
- Trial name
- AIDA (NCT06664112)
- Testing
- AIDA Analysis
- Where
- 2 sites in Italy
- Volunteers
- 1,000 people, healthy volunteers welcome
- Sponsor
- Centro di Ricerca Clinica Salentino
High-risk Pregnancy, Pregnancy
AI-Powered CURAᵀᴹ Application for Identifying At-Risk Pregnancies in Obstetric Management
It is important to identify high pregnancies early through screening so that appropriate care and intervention may be instituted.
- Conditions
- High-risk Pregnancy, Pregnancy, Antenatal Health
- Trial name
- CURAte (NCT06974188)
- Testing
- AI-risk Stratification
- Where
- Singapore
- Volunteers
- 1,700 people, healthy volunteers welcome
- Sponsor
- National University Hospital, Singapore
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