Clinical trials: Artificial Intelligence in Education
Cardiac, Surgery (Cardiac)
AI-Generated Video Feedback to Improve Technical Skills in Coronary Artery Bypass Grafting
This study aims to evaluate whether targeted video feedback generated by an artificial intelligence (AI)-based surgical performance assessment model can support improvement in technical skills among cardiac surgeons performing…
- Conditions
- Cardiac, Surgery (Cardiac), Education, Artificial Intelligence (AI)
- Trial name
- NCT07400172
- Testing
- AI-Guided Video Feedback Intervention
- Where
- China
- Volunteers
- 100 people, healthy volunteers welcome
- Sponsor
- China National Center for Cardiovascular Diseases
Gynaecological Cancer, Chemotherapy
Effects of Symptom Management Education With Mobile Application in Gynecological Cancer Patients Receiving Chemotherapy
Gynaecological cancers, which have an important place among the cancers seen both in the world and in our country. Chemotherapy, which is one of the most commonly used and basic methods in cancer treatment, causes many physical…
- Conditions
- Gynaecological Cancer, Chemotherapy, Nursing Care
- Trial name
- NCT06713122
- Testing
- İntervention Group- Group receiving Symptom Management Training with Mobile Application
- Where
- Turkey (Türkiye)
- Volunteers
- 70 people
- Sponsor
- Esra Nur Erdoğan
Anesthesia Education
The Effect of Video Education on Anesthesia Choice
This prospective single-group study aims to evaluate the effect of preoperative artificial intelligence-based video education on anxiety, anesthesia preference, satisfaction, and knowledge level in patients undergoing…
- Trial name
- NCT07246798
- Where
- Turkey (Türkiye)
- Volunteers
- 88 people, healthy volunteers welcome
- Sponsor
- Tokat Gaziosmanpasa University
Gastric Cancer (GC), Locally Advanced Gastric Cancer
Multimodal AI for Predicting Response to Neoadjuvant Immunotherapy in Gastric Cancer (PRISM-GC)
Gastric cancer is a major global health challenge. Currently, a combination of chemotherapy and immunotherapy (PD-1 inhibitors) is frequently used before surgery to shrink tumors, a strategy known as neoadjuvant therapy.
- Trial name
- NCT07401199
- Testing
- Standard of Care PD-1 Inhibitors, Multimodal AI Assessment
- Where
- 9 sites in China
- Volunteers
- 2,000 people
- Sponsor
- Qun Zhao
Crohn Disease, Rectal Fistula
A Study Using Artificial Intelligence to Identify Adults With Complex Perianal Fistulas Associated With Crohn's Disease
Natural Language Processing and machine learning are examples of artificial intelligence tools. This study will check if these tools correctly identify people with Crohn's disease with complex perianal fistulas from their medical…
- Trial name
- INTUITION-CPF (NCT04844593)
- Where
- 3 sites in Spain
- Volunteers
- 32 people
- Sponsor
- Takeda
Murmur, Heart, Aortic Valve Stenosis
Development of an Algorithm to Differentiate Heart Murmurs Using Electronic Stethoscopes
The Eko CORE and DUO stethoscopes are FDA-approved electronic devices that have the capacity to record heart sounds. The study seeks to expand murmur detection to include VHD classification through the development of novel ML…
- Conditions
- Murmur, Heart, Aortic Valve Stenosis, Tricuspid Regurgitation, Mitral Regurgitation
- Trial name
- NCT04400513
- Testing
- Use of Eko CORE and Eko DUO electronic stethoscopes
- Where
- United States
- Volunteers
- 1,145 people
- Sponsor
- Eko Devices, Inc.
Crohn's Disease
Artificial Intelligence-Based Classification and Prognostic Prediction in Small Bowel Crohn's Disease
This retrospective observational study aims to develop an artificial intelligence-based system for the precise classification and prognostic prediction of small bowel Crohn's disease.
- Trial name
- NCT07757217
- Testing
- Artificial Intelligence-Based Multimodal Analysis
- Where
- China
- Volunteers
- 437 people
- Sponsor
- Shanghai 10th People's Hospital
Nursing Education Research
Impact of AI-Supported Teaching on Clinical Decision-Making in Nursing Students
This clinical trial aims to explore whether an AI-supported teaching method can help nursing students improve their clinical decision-making skills and knowledge during case-based learning.
- Trial name
- NCT06999447
- Testing
- ChatGPT-Supported Case-Based AI Education (C-CASE), Standard Education
- Where
- Turkey (Türkiye)
- Volunteers
- 66 people, healthy volunteers welcome
- Sponsor
- Yeditepe University
Cardiac Arrhythmias, Acute Myocardial Infarction (AMI)
Predict Arrhythmia Risk Using Intelligent Software
Cardiac arrhythmias frequently occur in patients admitted to the Coronary Care Unit (CCU). The majority of these patients are treated for an acute myocardial infarction, which carries an increased risk of life-threatening…
- Conditions
- Cardiac Arrhythmias, Acute Myocardial Infarction (AMI), Ventricular Tachycardia (VT), Ventricular Fibrillation
- Trial name
- PARIS (NCT07792694)
- Where
- Netherlands
- Volunteers
- 3,000 people
- Sponsor
- Catharina Ziekenhuis Eindhoven
Subarachnoid Hemorrhage, Aneurysmal
Artificial Intelligence in Subarachnoid Hemorrhage
The overall aim of this study is to, with the help of computer/data scientist and machine learning processes, analyse collected heart rate variability data in order to evaluate whether specific patterns could be found in patients…
- Trial name
- AISAH (NCT04415736)
- Testing
- No intervention, observational study
- Where
- Sweden
- Volunteers
- 64 people
- Sponsor
- Göteborg University
Cardiovascular Diseases, Hypertension
Implementing Digital Health in a Learning Health System
The need for new models of integrated care that can improve the efficiency of healthcare and reduce the costs are key priorities for health systems across the United States.
- Conditions
- Cardiovascular Diseases, Hypertension, Heart Failure, Atrial Fibrillation
- Trial name
- ASE-INNOVATE (NCT03713333)
- Testing
- Digital Health Device Diagnostics
- Where
- United States
- Volunteers
- 374 people
- Sponsor
- Scripps Health
Idiopathic Pulmonary Fibrosis, Interstitial Lung Disease
Validation of AI-Based Detection of Idiopathic Pulmonary Fibrosis in Serial Chest Radiographs: A Retrospective Longitudinal Study
Idiopathic pulmonary fibrosis (IPF) is a chronic, progressive fibrotic lung disease of unknown cause with a median survival of only 3-5 years after diagnosis.
- Trial name
- NCT07712952
- Testing
- VUNO Med-Chest X-ray
- Where
- South Korea
- Volunteers
- 175 people
- Sponsor
- Chung-Ang University Hospital
Breast Cancer
Artificial Intelligence and Machine Learning to Guide CDK4/6 Inhibitor Rechallenge in Breast Cancer.
The goal of this clinical trial is to learn if an artificial intelligence model will be able to select patients with advanced breast cancer who may respond to a second cyclin-dependent kinase 4/6 (CDK4/6) inhibitor after they…
- Trial name
- AIM-BRIGHT (NCT07227233)
- Testing
- A CDK4/6 inhibitor different from the first that the participant had received, plus fulvestrant., Treatment of physician's choice
- Where
- United States
- Volunteers
- 105 people
- Sponsor
- University of California, San Diego
Respiratory Failure, Critical Illness
Combining Chest X-Ray and Arterial Blood Gas Findings to Predict Need for Mechanical Ventilation in Critically Ill Patients
This prospective cross-sectional study aims to develop and validate a machine learning model that combines chest X-ray findings with arterial blood gas (ABG) analysis to assess the necessity for mechanical ventilation in…
- Conditions
- Respiratory Failure, Critical Illness, Mechanical Ventilation
- Trial name
- NCT07001696
- Where
- Egypt
- Volunteers
- 2,160 people
- Sponsor
- Zagazig University
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
Dyspnea
Artificial Intelligence to Improve Physicians' Interpretation of Chest X-Rays in Breathless Patients
Identifying the cause of breathlessness in acute patients in the emergency department is critical and challenging. The chest X-ray is central but challenging to read for non-radiologist physicians.
- Trial name
- XRAI (NCT05117320)
- Testing
- AI support
- Where
- Denmark
- Volunteers
- 33 people, healthy volunteers welcome
- Sponsor
- Bispebjerg Hospital
This Study Highlights Differences in Baropodometry Between Genders
Evaluation of the Effect of a Clinical Exercise Programme on Plantar Distribution and Correction of Postural Asymmetries
The aim of this study was to identify significant variables that contribute to the association between postural problems, plantar pressure distribution and levels of bodily pain in middle-aged and elderly adults.
- Trial name
- NCT06647355
- Testing
- Effectiveness of physical exercise in preventing pain and improving plantar pressure distribution
- Where
- Portugal
- Volunteers
- 52 people, healthy volunteers welcome
- Sponsor
- University of Beira Interior
Lethal Means Counseling Skill
Pathways 2 Safety: AI-Simulated Clients for Experiential Learning in Behavioral Health Education
The goal of this study was to compare the effectiveness of practicing lethal means counseling skills with an artificial intelligence (AI)-powered client compared to practice with a live actor.
- Trial name
- NCT07873658
- Testing
- Lethal means counseling training and skills practice
- Where
- United States
- Volunteers
- 82 people
- Sponsor
- University of Washington
Head and Neck Neoplasm, Squamous Cell Carcinoma of Head and Neck
Analysis of Patterns of Recurrence in Head and Neck Cancer Using Clinicopathomic Markers
Here, the investigators will develop a clinicopathomic assay from biomarkers obtained from digital pathologies of resected whole-mount oral cavity and oropharyngeal squamous cell carcinoma (OCSCC and OPSCC) specimens with the…
- Trial name
- NCT04086849
- Testing
- Radiomic, pathomic, and clinical markers
- Where
- Canada
- Volunteers
- 450 people
- Sponsor
- Sunnybrook Health Sciences Centre
Intubation, Intratracheal, Medical Education
AI Smart Glasses Feedback for Intubation Training in Medical Students
The goal of this educational study is to learn whether AI smart glasses can score and give feedback on endotracheal intubation performed by medical students on a manikin, and when this AI feedback is most useful during anesthesia…
- Trial name
- NCT07897747
- Testing
- AI smart-glasses intubation practice with automated feedback
- Where
- Taiwan
- Volunteers
- 200 people, healthy volunteers welcome
- Sponsor
- Tri-Service General Hospital (TSGH)