Clinical trials: Artificial Intelligence
Breast Neoplasms
Artificial Intelligence Integration in Breast Cancer Screening: The ANIHTA Study
The goal of this observational study is to evaluate how artificial intelligence (AI) can be integrated into an organized breast cancer screening program for women aged 50-74 years undergoing mammography screening.
- Trial name
- ANIHTA (NCT07879937)
- Testing
- Artificial intelligence-based software for mammography, Discrete Choice Experiment on AI-Supported Breast Cancer Screening
- Where
- Italy
- Volunteers
- 200,075 people
- Sponsor
- Fondazione Policlinico Universitario Agostino Gemelli IRCCS
Advance Chronic Liver Disease (ACLD)
AI-ACLD Study: Artificial Intelligence in Advanced Chronic Liver Disease
The research project studies the possibility of using an artificial intelligence-based system in patients with advanced chronic liver disease (liver cirrhosis) to record variations in a patient's health status, with the aim of…
- Trial name
- AI-ACLD (NCT07721454)
- Testing
- Apple Watch
- Where
- Switzerland
- Volunteers
- 8 people
- Sponsor
- Antonio Galante
Pulmonary Nodules
Multicenter Prospective Validation of AI Models for Malignancy Risk Prediction in Pulmonary Nodules
This multicenter prospective diagnostic accuracy study will compare the performance of three artificial intelligence (AI) models (MVCS, LungDoc, and a United Imaging AI model) for predicting the malignancy risk of pulmonary…
- Trial name
- NCT07727122
- Where
- 5 sites in China
- Volunteers
- 3,000 people
- Sponsor
- Guangdong Provincial People's Hospital
Traumatic Brain Injury (TBI) Patients, Severe Traumatic Brain Injury
SeeMe: Using Automated Facial Tracking to Detect Voluntary Behavior in Brain Injury
Objective: This prospective interventional study introduces "SeeMe," an automated, high-resolution computer vision platform designed to objectively quantify microscopic, auditory command-evoked movements in patients with…
- Trial name
- NCT07560631
- Testing
- SeeMe Multimodal Auditory Command Protocol
- Where
- United States
- Volunteers
- 80 people, healthy volunteers welcome
- Sponsor
- Stony Brook University
Unipolar Depression
Sensor-based Characterization of Depression
This is a longitudinal study where individual with Major Depressive Disorder (MDD) will be monitored for 12 weeks. The study aims to develop an objective, sensor-based, algorithm able to detect the presence of depression as well…
- Trial name
- SENSCODE (NCT04370002)
- Where
- 2 sites in United States
- Volunteers
- 100 people
- Sponsor
- Massachusetts General Hospital
Intraoperative Hypotension, Hemodynamic Instability
AI-Assisted Blood Pressure Control During Anesthesia
This proof-of-concept randomized controlled trial evaluates a reinforcement learning (RL)-based clinical decision support system for intraoperative hemodynamic management during non-cardiac surgery.
- Trial name
- RL-PRAIS PoC (NCT07123675)
- Testing
- Device: AI Clinical Decision Support System, Procedure: Standard of Care Anesthesia
- Where
- 2 sites in China
- Volunteers
- 40 people
- Sponsor
- Beijing Tsinghua Chang Gung Hospital
Oxidative Injury, Stress Physiological
TORNADO-Omics Techniques and Neural Networks for the Development of Predictive Risk Models
The goal of this observational study is to define a personalized risk model in the super healthy and homogeneous population of Italian Air Force high-performance pilots.
- Conditions
- Oxidative Injury, Stress Physiological, Discogenic Pain, Cardiovascular Risk Factor
- Trial name
- NCT06372054
- Testing
- Biological sample collection
- Where
- Italy
- Volunteers
- 200 people
- Sponsor
- Fondazione IRCCS Ca' Granda, Ospedale Maggiore Policlinico
Rheumatic Heart Disease
Artificial Intelligence to Scale Early Rheumatic Heart Disease Detection
The main goal of this project is to see if RADAR (Rapid AI-assisted Detection and Analysis of Rheumatic heart disease), which is a machine and deep-learning AI model, can help make rheumatic heart disease (RHD) screening easier…
- Trial name
- SHIELD 1 (NCT07599956)
- Testing
- AI assisted echocardiography
- Where
- Uganda
- Volunteers
- 62 people, healthy volunteers welcome
- Sponsor
- Children's Hospital Medical Center, Cincinnati
Preoperative Anxiety, Perceived Control
Structured Communication About Artificial Intelligence in Perioperative Care (AI-COM)
This study investigates whether structured communication about artificial intelligence (AI) in perioperative care can reduce preoperative anxiety and improve perceived control among adult patients undergoing elective surgery.
- Conditions
- Preoperative Anxiety, Perceived Control, AI-Related Uncertainty
- Trial name
- AI-COM (NCT07393945)
- Testing
- Structured Artificial Intelligence Communication, Attention-Control Supportive Communication
- Where
- Turkey (Türkiye)
- Volunteers
- 120 people
- Sponsor
- Agri Ibrahim Cecen University
Post Acute COVID-19 Syndrome
Digital Health Intervention Based on Artificial Intelligence to Support the Personalized Recovery of Long COVID Patients Affected by Fatigue (AIDA)
The AIDA feasibility study builds upon mental health and technology acceptance theoretical frameworks. It examines the feasibility of a mobile-based digital program to support patients with long covid affected by fatigue.
- Trial name
- AIDA (NCT05483829)
- Testing
- Adhera® Fatigue for Long COVID program
- Where
- Spain
- Volunteers
- 15 people
- Sponsor
- Adhera Health, Inc.
Inflammatory Bowel Diseases
Artificial Intelligence System Based on Raman Spectroscopy in Inflammatory Bowel Disease
Inflammatory bowel diseases (IBD) are chronic inflammatory disorders that can be categorized as ulcerative colitis (UC), Crohn's disease (CD) and indeterminate colitis (IC).
- Trial name
- NCT04888299
- Testing
- Raman spectroscopy (SPECTRA IMDx)
- Where
- Singapore
- Volunteers
- 100 people
- Sponsor
- Changi General Hospital
Hip Fractures
Randomized Controlled Clinical Trial of Internal Fixation of Intertrochanteric Fractures of Femur Guided by Conventional Versus IF-AI Artificial Intelligence Program
Our team has developed an AI software to guide the surgical protocol for femoral intertrochanteric fractures. This is a prospective randomized controlled clinical study that will include patients with femoral intertrochanteric…
- Trial name
- NCT06195033
- Testing
- Surgical protocol guided by artificial intelligence software
- Volunteers
- 132 people
- Sponsor
- Peking University Third Hospital
Prostate Cancer (Adenocarcinoma), Bladder Cancer
Enhancing Readability of Lay Abstracts and Summaries for Medical Knowledge Using Generative Artificial Intelligence (BRIDGE AI 3)
This trial tests if AI can help make medical info clear and readable. Many patients struggle to find medical informations that easy to read and understand from verified medical sources.
- Conditions
- Prostate Cancer (Adenocarcinoma), Bladder Cancer, Kidney Cancers, Testis Cancer
- Trial name
- NCT07568444
- Testing
- Pub2Post
- Where
- United States
- Volunteers
- 120 people, healthy volunteers welcome
- Sponsor
- University of Southern California
Oral Cancer, Oral Lichen Planus
Artificial Intelligence Based Program to Classify Oral Cavity Findings Based on Clinical Image Analysis
This study aims to develop an AI program that can classify oral findings into Normal/variation of normal or an oral disease by clinical photos analysis, aiding in lowering the percentages of false positive and false negative…
- Conditions
- Oral Cancer, Oral Lichen Planus, Fordyce Granule, Leukoplakia
- Trial name
- NCT06325514
- Testing
- Artificial intelligence based program
- Where
- Egypt
- Volunteers
- 241 people, healthy volunteers welcome
- Sponsor
- Cairo University
Delirium, Artificial Intelligence (AI)
Development and Validation of Delirium Recognition Using Computer Vision in Neuro-critical Patients
This research project employs machine learning algorithms integrated with computer vision, image processing, and pattern recognition technologies to perform digital analysis of facial expression behaviors in neurocritical care…
- Trial name
- NCT07136207
- Where
- China
- Volunteers
- 1,000 people
- Sponsor
- Beijing Tiantan Hospital
Coronary Arterial Disease (CAD), Acute Coronary Syndrome (ACS) Undergoing Percutaneous Coronary Intervention (PCI)
Artificial Intelligence Based Timing, Infarct Size and Outcomes in Acute Coronary Occlusion Myocardial Infarction
The present study is practice-driven and merely observational and prospective. In clinical routine, patients who suffer from suspected ACS and do not show ST elevation in the ECG, different timing proposals in the guidelines and…
- Trial name
- ANOMI (NCT06910436)
- Testing
- Coronary Angiogram
- Where
- Italy
- Volunteers
- 1,500 people
- Sponsor
- Azienda Ospedaliera di Bolzano
Parkinson
Clinical Investigation of NMS Assist
Parkinson's can cause a wide range of non-motor symptoms (NMS), including pain and problems with mental health, memory and sleep. These affect the quality of life of people with Parkinson's (PwP) and their care partners (CP).
- Trial name
- NCT05414071
- Testing
- NMS Assist
- Sponsor
- University of Plymouth
Well-Being, Lifestyle, Healthy
An Exploratory Feasibility Study
This study explores the feasibility of ContextWell, a well-being education programme that combines an online webinar with an AI-powered behavioural nudging system.
- Conditions
- Well-Being, Lifestyle, Healthy, Young Adult, Behavior and Behavior Mechanisms
- Trial name
- Contextwell (NCT07009964)
- Testing
- ContextWell Educational Programme
- Where
- Ireland
- Volunteers
- 12 people, healthy volunteers welcome
- Sponsor
- University College Dublin
Detecting Number of Root Canal of Human Mandibular Second Molar
Accuracy of Artificial Intelligence Technology in Detecting Number of Root Canal of Human Mandibular Second Molar: Diagnostic Accuracy Experimental Study
to detect the Accuracy of Artificial Intelligence Technology in Detecting Number of Root Canal of Human Mandibular Second Molar: Diagnostic Accuracy Experimental Study.
- Trial name
- AI (NCT07319221)
- Testing
- AI, CBCT
- Where
- Egypt
- Volunteers
- 40 people, healthy volunteers welcome
- Sponsor
- Future University in Egypt
Nociception, Artificial Intelligence (AI)
AI-Assisted Analgesia Copilot System
The primary objective of the SEASCAPE project is to design, develop, and to apply a clinical implementation tool of a machine learning (ML) and artificial intelligence (AI)-based co-pilot system for the real-time monitoring and…
- Conditions
- Nociception, Artificial Intelligence (AI), Target Controlled Infusion (TCI), Remifentanil Consumption
- Trial name
- SEASCAPE (NCT07253012)
- Testing
- Hemodynamic monitor, BIS, TOF, ANI, anesthesia machine and infusion pumps, SEASCAPE
- Where
- 2 sites in Chile
- Volunteers
- 150 people
- Sponsor
- Pontificia Universidad Catolica de Chile