Clinical trials: AI (Artificial Intelligence)
Hepatic Disease, Biliary Disease
Development and Prospective Validation of an AI-Based Diagnostic Model for Hepato-Pancreato-Biliary Diseases
The rapid advancement of artificial intelligence (AI) has expanded its applications in healthcare, particularly in diagnostic assistance, intelligent triage, and patient interaction.
- Conditions
- Hepatic Disease, Biliary Disease, Pancreas Disease, Artificial Intelligence (AI) in Diagnosis
- Trial name
- NCT07716670
- Testing
- AI Integration type 1, AI Integration type 2
- Volunteers
- 400 people, healthy volunteers welcome
- Sponsor
- Second Affiliated Hospital, Zhejiang University, School of Medicine
AI (Artificial Intelligence), Oral Cancer
A Feasibility Study of AI-Assisted Physiotherapy for Oral Cancer Patients
This study aims to evaluate the feasibility, safety, and acceptability of a newly developed artificial intelligence (AI)-assisted physiotherapy system for oromandibular and neck-shoulder range of motion (ROM) in patients who have…
- Trial name
- NCT07635381
- Testing
- AI-assisted physiotherapy
- Where
- Taiwan
- Volunteers
- 15 people
- Sponsor
- National Taiwan University Hospital
Alpha-1-antitrypsin Deficiency, Emphysema
Development of a Prediction Score for the Occurrence of Death or Lung Transplantation in Patients With Emphysema Secondary to Alpha-1-anti-tripsin Deficiency
Emphysema linked to alpha-1-antitrypsin deficiency (DAAT): towards a better prediction of risks Emphysema caused by alpha-1-antitrypsin deficiency (DAAT) is a rare genetic disorder that can lead to serious complications, such as…
- Conditions
- Alpha-1-antitrypsin Deficiency, Emphysema, Artificial Intelligence (AI), Predictive Learning Models
- Trial name
- FLARE (NCT07715617)
- Where
- 4 sites in France
- Volunteers
- 230 people
- Sponsor
- University Hospital, Bordeaux
Cancer, Intraoperative Pathology
Development and Validation of an AI Foundation Model for Frozen-Section Pathology
This multicenter observational study aims to develop and validate an artificial intelligence foundation model for frozen-section pathology. The study includes a retrospective phase and a prospective validation phase.
- Conditions
- Cancer, Intraoperative Pathology, Artificial Intelligence (AI)
- Trial name
- NCT07708207
- Where
- China
- Volunteers
- 33,000 people
- Sponsor
- Sun Yat-Sen Memorial Hospital of Sun Yat-Sen University
Non-Small Cell Lung Cancer, Artificial Intelligence (AI) in Diagnosis
AI-Based Prediction of Stage and Survival in Non-Small Cell Lung Cancer: A Retrospective Study
This study aims to evaluate the role of artificial intelligence (AI) in predicting disease stage and survival in patients diagnosed with non-small cell lung cancer (NSCLC).
- Trial name
- NCT07068139
- Testing
- AI-Based Predictive Modeling
- Volunteers
- 156 people
- Sponsor
- Hilkat Fatih Elverdi
Inflammatory Bowel Disease (Crohn's Disease and Ulcerative Colitis), Ulcerative Colitis (UC)
Narrow Band Imaging Versus Artificial Intelligence for Colonic Surveillance in Inflammatory Bowel Disease
Patients with inflammatory bowel disease (IBD) - ulcerative colitis or Crohn's disease - have a higher risk of developing colorectal cancer than the general population.
- Conditions
- Inflammatory Bowel Disease (Crohn's Disease and Ulcerative Colitis), Ulcerative Colitis (UC), Crohn's Disease Colon, Colonic Dysplasia/Adenomata
- Trial name
- CLEAR-IBD (NCT07694362)
- Testing
- ENDO-AID CADe System (Olympus, Tokyo, Japan) (AI device)
- Where
- Spain
- Volunteers
- 60 people
- Sponsor
- Vall d'Hebron Institute Research
Dental Education, Artificial Intelligence (AI)
AI Virtual Patient Training for Dental Student History Taking
This randomized study evaluated whether an artificial intelligence-assisted virtual patient could support third-year dental students in practicing medical and dental history taking.
- Conditions
- Dental Education, Artificial Intelligence (AI), Virtual Patient, History Taking
- Trial name
- NCT07688668
- Testing
- Gemini-Based AI Virtual-Patient Training, Conventional Role-Play Training
- Where
- Vietnam
- Volunteers
- 56 people, healthy volunteers welcome
- Sponsor
- Hue University of Medicine and Pharmacy
Diagnostic Imaging, Eye Tracking
AI Timing in Chest X-ray Interpretation Using Eye-Tracking
Chest X-rays are commonly used to help diagnose and manage chest conditions. Artificial intelligence (AI) tools are increasingly being used to support chest X-ray interpretation.
- Conditions
- Diagnostic Imaging, Eye Tracking, Artificial Intelligence (AI)
- Trial name
- CREAITED (NCT07675694)
- Testing
- Original CXR First Timing, AI Output First Timing
- Where
- United Kingdom
- Volunteers
- 24 people, healthy volunteers welcome
- Sponsor
- University Hospitals, Leicester
Breastfeeding, Artificial Intelligence (AI)
The Effect of Artificial-Intelligence-Assisted Videos on Breastfeeding Self-Efficacy, Motivation, and LATCH Scores in First-Time Mothers
As of 2024, nearly half (48%) of infants under six months worldwide are exclusively breastfed, approaching the global target of 50%.
- Conditions
- Breastfeeding, Artificial Intelligence (AI), Motivation, Self Efficacy
- Trial name
- NCT07369947
- Testing
- AI-Assisted Breastfeeding Video
- Where
- Turkey (Türkiye)
- Volunteers
- 63 people, healthy volunteers welcome
- Sponsor
- Istanbul University - Cerrahpasa
Artificial Intelligence (AI), Breastfeeding Self-Efficacy
AI Role-Play Coaching for Breastfeeding Counseling
Breastfeeding counseling is critically important for both maintaining the mother's motivation to breastfeed and ensuring the baby's healthy nutrition.
- Conditions
- Artificial Intelligence (AI), Breastfeeding Self-Efficacy, Breastfeeding, Role Playing
- Trial name
- NCT07670247
- Testing
- AI-powered role-playing intervention, Peer role play intervention
- Where
- Turkey (Türkiye)
- Volunteers
- 80 people
- Sponsor
- Bilecik Seyh Edebali Universitesi
Cephalometric Analysis, Cephalometry
Comparison of Digital Analysis and Artificial Intelligence for Cephalometric Tracing
This study aims to evaluate the accuracy and reliability of artificial intelligence (AI)-based cephalometric analysis compared with digital manual tracing.
- Conditions
- Cephalometric Analysis, Cephalometry, Artificial Intelligence (AI), Artificial Intelligence (AI) in Diagnosis
- Trial name
- NCT07664488
- Testing
- Cephalometric Analysis
- Where
- Italy
- Volunteers
- 100 people
- Sponsor
- University of Pavia
Osteogenesis Imperfecta, Rare Bone Disorders
Morphology in Oral Rare Syndromes & Artificial Intelligence for Clinical Diagnosis
MOSAIC aims to determine whether oro-dental morphological anomalies, particularly palatal morphology, associated with rare bone and cartilage diseases can be precisely characterized using 3D digital models analysed through…
- Conditions
- Osteogenesis Imperfecta, Rare Bone Disorders, Hypophosphatemia, X-Linked
- Trial name
- MOSAIC (NCT07666269)
- Testing
- intra-oral 3D optical impression
- Where
- France
- Volunteers
- 240 people, healthy volunteers welcome
- Sponsor
- University Hospital, Bordeaux
Emergency Medicine, Artificial Intelligence (AI)
Diagnostic Accuracy of GPT-4o and Claude for HEART Score Calculation in Chest Pain
This prospective observational diagnostic accuracy study evaluates whether large language models (LLMs) - GPT-4o (OpenAI, gpt-4o-2024-11-20) and Claude (Anthropic, claude-sonnet-4-6) - can accurately calculate HEART scores from…
- Conditions
- Emergency Medicine, Artificial Intelligence (AI), Artificial Intelligence (AI) in Diagnosis, Chest Pain Rule Out Myocardial Infarction
- Trial name
- LLM-HEART (NCT07626060)
- Testing
- GPT-4o HEART Score Calculator, Claude HEART Score Calculator, Three-Expert Consensus HEART Score
- Where
- Turkey (Türkiye)
- Volunteers
- 690 people
- Sponsor
- Marmara University Pendik Training and Research Hospital
Lung Neoplasms, Bronchoscopy
Feasibility and Preliminary Performance of an AI Prototype for Digital ROSE During EBUS-TBNA and Peripheral TBNA: a Prospective Pilot Study (AI-ROSE-FEAS)
Rapid On-Site Evaluation (ROSE) of cytological slides obtained during EBUS-TBNA improves diagnostic yield by providing real-time adequacy assessment and preliminary diagnostic orientation after each needle pass.
- Conditions
- Lung Neoplasms, Bronchoscopy, AI (Artificial Intelligence), Mediastinal ( Chest) Masses
- Trial name
- AI-ROSE-FEAS (NCT07662967)
- Testing
- ROSE
- Volunteers
- 65 people
- Sponsor
- Azienda Ospedaliera di Rilievo Nazionale A.Cardarelli
Thoracic Diseases, Chest CT Scan
AI-Assisted Chest-CT Reporting for Enhanced Speed and Quality (The DOUBLE-ACE Study)
The goal of this observational study is to learn if an AI assistant tool can help doctors who read chest CT scans (called radiologists) write their reports faster and just as well or better.
- Conditions
- Thoracic Diseases, Chest CT Scan, Artificial Intelligence (AI) in Diagnosis
- Trial name
- DOUBLE-ACE (NCT07640906)
- Testing
- An AI-assisted reporting system integrated into the clinical workflow, providing automated draft generation to assist with chest CT interpretation
- Where
- 2 sites in China
- Volunteers
- 75 people
- Sponsor
- Shanghai Zhongshan Hospital
Breast Neoplasms, Artificial Intelligence (AI)
Non-Contrast Breast MRI Diagnosis and Risk Stratification Using DWI-Generated Synthetic Contrast Enhancement
This study is conducted under the ethics-approved project titled "Artificial Intelligence Solution for Simplifying the Diagnostic Workflow of Breast MRI''.The goal of this observational study is to develop an integrated breast…
- Conditions
- Breast Neoplasms, Artificial Intelligence (AI), Magnetic Resonance Imaging (MRI), Diffusion Magnetic Resonance Imaging
- Trial name
- NCT07598084
- Testing
- Non-contrast breast MRI diagnostic model
- Volunteers
- 12,000 people, healthy volunteers welcome
- Sponsor
- Peking University People's Hospital
Nursing Students, Emotion Regulation
AI-Based Communication Simulation and Human Library Narratives.
This research plan aims to establish an effectiveness assessment system for promoting clinical communication, empathy, and emotion regulation in pediatric nursing students through a combination of AI communication simulation and…
- Conditions
- Nursing Students, Emotion Regulation, Empathy, AI (Artificial Intelligence)
- Trial name
- NCT07637461
- Testing
- Integrating AI-Based Communication Simulation and Human Library Narratives, Traditional pediatric nursing teaching
- Where
- Taiwan
- Volunteers
- 40 people, healthy volunteers welcome
- Sponsor
- National Defense Medical University, Taiwan
Electronic Medical Record, Transitions of Care
Structured Handoff Using Intelligent Framework for Transitions Trial
Inpatient general medicine attendings will be randomized to have an LLM feature turned on to provide a draft of an off-service handoff within Carelign (an EHR-adjacent provider communication tool).
- Conditions
- Electronic Medical Record, Transitions of Care, Physician Workflow, Artificial Intelligence (AI)
- Trial name
- SHIFT (NCT07251907)
- Testing
- LLM tool to draft handoff
- Where
- United States
- Volunteers
- 85 people
- Sponsor
- University of Pennsylvania
Hard-to-heal Wounds, AI (Artificial Intelligence)
AI-Based Wound Monitoring: Automated Wound Progression Assessment Via Marker-Free Image Sequence
This study aims to develop a low-cost, marker-free intelligent wound assessment system that can analyze wound photos taken with a standard smartphone.
- Conditions
- Hard-to-heal Wounds, AI (Artificial Intelligence), Wound Care, Pressure Injuries
- Trial name
- NCT07619430
- Testing
- Marker-free wound image registration technology
- Where
- Taiwan
- Volunteers
- 1,000 people
- Sponsor
- National Taiwan University Hospital
Artificial Intelligence (AI), Machine Learning
Development and Pre-validation of a Machine Learning-based Prediction Algorithm for Early Functional Recovery in Patients Undergoing Hip and Knee Replacement Surgery
The goal of this observational study is to develop and pre-validate a machine learning algorithm to predict early recovery of mobility in patients undergoing hip or knee joint replacement surgery.
- Conditions
- Artificial Intelligence (AI), Machine Learning, Joint Replacement, Predictive Model
- Trial name
- FISIO_IA (NCT07333560)
- Testing
- Predictive Model for Early Mobility Recovery and Length of Stay
- Where
- 2 sites in Italy
- Volunteers
- 943 people
- Sponsor
- Istituto Ortopedico Rizzoli