Clinical trials: Learning Model, open to volunteers
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
Stroke, Fall
Predicting Fall Risk in Stroke Patients Using a Machine Learning Model and Multi-Sensor Data
The study assesses a machine learning model developed to predict fall risk among stroke patients using multi-sensor signals. This prospective, multicenter, open-label, sponsor-initiated confirmatory trial aims to validate the…
- Trial name
- NCT06380049
- Testing
- EMG Analysis Software
- Where
- South Korea
- Volunteers
- 90 people, healthy volunteers welcome
- Sponsor
- Seoul National University Hospital
Educational Assessment, Artifical Intelligence
Large Language Models Versus Human Examiners for Grading Physiotherapy Clinical Cases
This study evaluates whether large language models (LLMs) can reliably assess written clinical-reasoning case examinations completed by undergraduate physiotherapy students, compared with faculty assessment.
- Conditions
- Educational Assessment, Artifical Intelligence, Physical Therapy Education
- Trial name
- PACE-AI (NCT07677202)
- Testing
- LLM-based assessment, Faculty assessment (reference standard)
- Where
- Spain
- Volunteers
- 65 people, healthy volunteers welcome
- Sponsor
- Neuron, Spain
Renal Tumors
Federated Learning in Renal Tumor Model
This is a multicenter, retrospective and prospective diagnostic clinical trial evaluating the effectiveness and safety of CascadeDiagnose Renal Tumor CT, an AI-assisted detection system for renal tumors based on contrast-enhanced…
- Trial name
- NCT07841756
- Where
- 6 sites in China
- Volunteers
- 3,000 people
- Sponsor
- First Affiliated Hospital of Guangxi Medical University
BIS, BIS-EEG
Deep Learning Framework for Continuous Depth of Anesthesia Forecasting
The integration of Artificial Intelligence (AI) in anesthesiology offers the potential to shift patient monitoring from reactive to predictive.
- Conditions
- BIS, BIS-EEG, Artifical Intelligence, Intraoperative
- Trial name
- NCT07536230
- Where
- Belgium
- Volunteers
- 115 people, healthy volunteers welcome
- Sponsor
- Universitair Ziekenhuis Brussel
Death, Spiritual Care
Curriculum Design and Effectiveness in Death and Spiritual Care
This study will be conducted using a randomized experimental design with a pre-test/post-test control group to determine the effectiveness of a curriculum on "Death and Spiritual Care in the Elderly"-developed for students in the…
- Conditions
- Death, Spiritual Care, Spiritual Care Education
- Trial name
- NCT07902531
- Testing
- Death and Spiritual Care Education, Control
- Volunteers
- 60 people, healthy volunteers welcome
- Sponsor
- Cukurova University
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
Ophthalmic Imaging, Deep Learning
Diagnostic Performance of an AI-based Model for TCM Constitution Classification Using Ophthalmic Imaging
To evaluate the diagnostic performance of a multimodal deep learning model for identifying biased Traditional Chinese Medicine (TCM) constitutions using ophthalmic imaging
- Conditions
- Ophthalmic Imaging, Deep Learning, Artificial Intelligence (AI), Traditional Chinese Medicine Constitution
- Trial name
- NCT07127939
- Testing
- AI-based Ocular Diagnosis Model for TCM Constitutions
- Where
- China
- Volunteers
- 1,024 people, healthy volunteers welcome
- Sponsor
- Second Affiliated Hospital of Nanchang University
Risky Pregnancies
Esmadem Education Model on High-Risk Pregnant Women
Pregnancy is a normal and natural process in a woman's life. During this process, anatomical, physiological, biochemical and emotional changes are observed.
- Trial name
- NCT06786143
- Testing
- Esmadem Education Model
- Volunteers
- 90 people
- Sponsor
- Burdur Mehmet Akif Ersoy University
HCC, Adjuvant Therapy
Adjuvant Anti-PD-1 Therapy in Resected Hepatocellular Carcinoma
Early hepatocellular carcinoma (HCC) recurrence (driven by residual tumors) and late recurrence (driven by de novo tumors) exhibit distinct biological behaviors, suggesting differential therapeutic vulnerabilities.
- Conditions
- HCC, Adjuvant Therapy, Recurrence, Immune Checkpoint Inhibitor
- Trial name
- NCT07379489
- Testing
- PD-1 Inhibitors
- Volunteers
- 300 people
- Sponsor
- Tongji Hospital
Spinal Cord Injuries, Obesity
Spinal Cord Injury Model Systems (SCIMS) - Education Module
The purpose of this study is to find out if receiving education regarding increased risks of cardiometabolic disease helps subjects understand these risks and how these risks participants' health.
- Conditions
- Spinal Cord Injuries, Obesity, Cardiometabolic Syndrome
- Trial name
- NCT06003686
- Testing
- PVA Consumer Guide, WebMD
- Where
- 3 sites in United States
- Volunteers
- 250 people
- Sponsor
- University of Miami
Prostate Cancer
Validation of a Machine Learning Model Based on MR for the Prediction of Prostate Cancer
The goal of this observational study is to validate a clinically significant predictive machine learning model based on the processing of images RMmp (Multiparametric Magnetic Resonance Imaging).
- Trial name
- NCT06773598
- Where
- Italy
- Volunteers
- 1,100 people
- Sponsor
- IRCCS Azienda Ospedaliero-Universitaria di Bologna
Glaucoma
Glaucoma Screening Using Artificial Intelligence Assisted Clinical Model in Singapore's Diabetic Eye Screening Program
Glaucoma is major cause of irreversible blindness and is characterized by optic nerve damage and visual field loss. Screening for glaucoma is challenging due to lack of a simple, accurate, cost-efficient and standardized process.
- Trial name
- AIGS (NCT07243665)
- Testing
- Artificial Intelligence model to detect glaucoma, No intervention
- Where
- Singapore
- Volunteers
- 1,040 people
- Sponsor
- Singapore Eye Research Institute
Education, AI (Artificial Intelligence)
Leveraging Large Language Models (LLM) to Enhance Research Competency Among Undergraduate Nursing Students: A Novel Approach to Research Education
The goal of this mixed method interventional study is to develop and test the effectiveness of integrating ChatGPT into the nursing research course to improve research competency among third-year undergraduate nursing students.
- Trial name
- NRAC (NCT07540078)
- Testing
- LLM-Integration
- Where
- Singapore
- Volunteers
- 640 people, healthy volunteers welcome
- Sponsor
- National University Health System, Singapore
Esophageal Squamous Cell Carcinoma, Neoadjuvant Immunochemotherapy
Deep Learning Model Predicts Pathological Complete Response of Esophageal Squamous Cell Carcinoma Following Neoadjuvant Immunochemotherapy
This study aims to develop and validate a deep learning model to predict pathological complete response (pCR) in patients with esophageal squamous cell carcinoma who have undergone neoadjuvant immunochemotherapy.
- Conditions
- Esophageal Squamous Cell Carcinoma, Neoadjuvant Immunochemotherapy, Pathological Complete Response, Deep Learning
- Trial name
- DL-ESCC (NCT07088354)
- Testing
- The high-throughput extraction of large amounts of quantitative image features from medical images
- Where
- China
- Volunteers
- 300 people
- Sponsor
- Tongji Hospital
Preoperative Care, Patient Education
Integrating ChatGPT in Anesthesia
Patients are waiting for surgery longer than ever before. While hospitals are trying to get patients access to surgery as quickly as possible, a shortage of anesthesia doctors (called anesthesiologists) prevents this.
- Conditions
- Preoperative Care, Patient Education, Anesthesia, Artificial Intelligence
- Trial name
- NCT06652854
- Where
- Canada
- Volunteers
- 190 people, healthy volunteers welcome
- Sponsor
- Ottawa Hospital Research Institute
Disasters, Disaster Preparedness
Effectiveness of an Audiovisual Disaster-Education Intervention on Disaster Risk Perception and Preparedness Belief Among Senior High-School Adolescents
This cluster-randomized controlled trial tests whether a short, standardized disaster-education video improves two psychological precursors of disaster preparedness among senior high-school students in a hazard-prone district of…
- Conditions
- Disasters, Disaster Preparedness, Health Behavior, Risk Perception
- Trial name
- DERAP (NCT07781527)
- Testing
- Audiovisual disaster-education module, Attention-matched general-health video
- Volunteers
- 144 people, healthy volunteers welcome
- Sponsor
- Tanjungpura University
Extra Canals
AI Detection Model of Extra Root Canals in Mandibular Premolars Using CBCT Scans
Successful endodontic treatment depends on the complete identification and management of the entire root canal system. Missed root canals are a major cause of endodontic failure, particularly in mandibular premolars, which…
- Trial name
- NCT07689708
- Testing
- AI Model to detect any extra canals in mandibular premolars
- Volunteers
- 272 people, healthy volunteers welcome
- Sponsor
- Cairo University
Teaching Styles, Motivation
Motivational Training Program for Pre-service Physical Education Teachers
This study presents the protocol for a non-randomized controlled trial evaluating a motivational-based training program for pre-service Physical Education teachers.
- Conditions
- Teaching Styles, Motivation, Competence, Pre-service Teachers
- Trial name
- NCT06924554
- Testing
- Motivational Training Program
- Where
- Spain
- Volunteers
- 38 people
- Sponsor
- Universidad de Zaragoza