Clinical trials: Artificial Intelligence in Education
Breast Cancer, Early Detection of Cancer
A Prospective Study to Evaluate Clinical Performance of Thermalytix in Detecting Breast Cancers
The purpose of this study is to determine the clinical performance of AI-based Thermalytix with the current standard-of-care diagnostic modalities in women.
- Trial name
- NCT04688086
- Testing
- Thermalytix
- Where
- India
- Volunteers
- 687 people, healthy volunteers welcome
- Sponsor
- Niramai Health Analytix Private Limited
Difficult Endotracheal Intubation, Artificial Intelligence
Anthropometric and US-Guided Difficult Intubation Prediction With ML Models
The assessment and management of difficult airway is of critical importance. Unsuccessful airway management leads to serious mortality and morbidity.
- Trial name
- NCT06904586
- Testing
- Thyromental distance, Neck circumference, Mouth opening distance
- Where
- Turkey (Türkiye)
- Volunteers
- 329 people
- Sponsor
- Duzce University
Pre-diabetes
Continuous Glucose Monitoring in Prediabetes
The objective of this project is to develop a behavioral intervention that combines wearable continuous glucose monitoring (CGM) with smartphone feedback and educational video clips generated by artificial intelligence (AI)…
- Trial name
- G1 (NCT06472297)
- Testing
- The continuous glucose monitoring system
- Where
- United States
- Volunteers
- 23 people, healthy volunteers welcome
- Sponsor
- University of Southern California
Substance Use, Substance Abuse
Data-driven Identification for Substance Misuse
The investigators propose to develop an open-source, publicly available machine learning model that health systems could download and apply to their electronic health record data marts to screen for substance misuse in their…
- Conditions
- Substance Use, Substance Abuse, Substance-Related Disorders
- Trial name
- NCT03833804
- Testing
- Processing of clinical notes in the EHR data collected during routine care
- Where
- United States
- Volunteers
- 64,996 people
- Sponsor
- University of Wisconsin, Madison
Coronary Artery Disease, Ischemic Heart Disease
Volatilome and Single-Lead Electrocardiogram Optimize Ischemic Heart Disease Diagnosis Using Machine Learning Models
This is a prospective, case-control, single-center, observational, non-randomized study. It is designed to evaluate the diagnostic accuracy of functional tests involving physical exertion monitored via a 12-lead ECG, combined…
- Conditions
- Coronary Artery Disease, Ischemic Heart Disease, Chronic Coronary Disease, Angina Pectoris
- Trial name
- NCT06181799
- Testing
- Mass spectrometry using the PTR TOF-1000 (IONICON PTR-TOF-MS - Trace VOC Analyzer, Eduard-Bodem-Gasse 3, 6020 Innsbruck, Austria (Europe).
- Where
- Russia
- Volunteers
- 80 people, healthy volunteers welcome
- Sponsor
- I.M. Sechenov First Moscow State Medical University