Clinical trials: Artificial Intelligence in Medicine
Machine Intelligence in the Pharmacy
Preventing Medication Dispensing Errors in Pharmacy Practice With Interpretable Machine Intelligence
Pharmacists currently perform an independent double-check to identify drug-selection errors before they can reach the patient. However, the use of machine intelligence (MI) to support this cognitive decision-making work by…
- Trial name
- NCT06245044
- Testing
- No MI Help, Scenario #1, Scenario #2
- Where
- United States
- Volunteers
- 68 people
- Sponsor
- University of Michigan
Disorders of Consciousness, Vegetative State
AI-Assisted Precision Hyperbaric Oxygen Therapy Based on Dynamic BIS-EEG Feedback for Patients With Disorders of Consciousness
Disorders of consciousness (DoC) are severe neurological conditions characterized by impaired awareness and reduced interaction with the environment.
- Conditions
- Disorders of Consciousness, Vegetative State, Minimally Conscious State
- Trial name
- AI-HBOT-DoC (NCT07855848)
- Testing
- AI-Assisted Personalized Hyperbaric Oxygen Therapy, Conventional Hyperbaric Oxygen Therapy
- Where
- China
- Volunteers
- 200 people
- Sponsor
- Boston Intelligent Medical Research Center, Shenzhen United Scheme Technology Co., Ltd.
Hypertension
A Mobile App for Medication Adherence in Persons With Hypertension: a Pilot Study
A development and pilot test of an app targeting persons with hypertension. Content in the app was based on persons with hypertensions experiences and a literature review.
- Trial name
- NCT06228417
- Testing
- Adaptive digital intervention
- Where
- Sweden
- Volunteers
- 14 people, healthy volunteers welcome
- Sponsor
- Halmstad University
Diabetes Mellitus, Hypertension
Artificial Intelligence Guided Personalised Medicine in Patients With Hypertension and Diabetes
Hypertension and diabetes are chronic diseases that require long-term management and disease control is often sub-optimal, leading to complications which place additional burden on patients and the healthcare system.
- Trial name
- NCT04769141
- Testing
- CURATE.AI
- Volunteers
- 40 people
- Sponsor
- Alexandra Hospital
Age-Related Macular Degeneration (AMD), Diabetic Retinopathy (DR)
Artificial Intelligence-Aided Screening for Patients With Diabetic Retinopathy and Age-related Macular Degeneration in Family Medicine and Geriatric Medicine Outpatient Clinics
Diabetic retinopathy (DR) and age-related macular degeneration (AMD) are leading causes of vision loss, with rising incidence due to aging populations and increasing diabetes prevalence.
- Trial name
- NCT07069647
- Testing
- VeriSee AI-assisted screening tools for diabetic retinopathy and age-related macular degeneration, Standard fundus photography with physician interpretation
- Where
- Taiwan
- Volunteers
- 4,300 people
- Sponsor
- National Taiwan University Hospital
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
Rheumatoid Arthritis (RA, Chronic Pain
Integrative AI-Based Multiomic and Neurophysiological Profiling of Chronic Pain in Rheumatoid Arthritis
Rheumatoid arthritis (RA) is a chronic, systemic autoimmune disease in which pain remains the most prominent and burdensome symptom from the patient's perspective.
- Trial name
- RA-PAIN-AI (NCT07769619)
- Where
- Poland
- Volunteers
- 100 people
- Sponsor
- 4th Military Clinical Hospital with Polyclinic, Poland
Type 1 Diabetes Mellitus (T1DM), Diabetes Distress
GlycoQuest: An AI-Adaptive CGM-Integrated Serious Game for Pediatric Type 1 Diabetes
Type 1 diabetes diagnosed in childhood requires rapid acquisition of complex self-management skills while children and caregivers are also adapting emotionally and socially to a chronic condition.
- Conditions
- Type 1 Diabetes Mellitus (T1DM), Diabetes Distress, Hypoglycemia (Diabetic), Family Conflict
- Trial name
- GlycoQuest (NCT07726680)
- Testing
- GlycoQuest Digital Therapeutic, Enhanced Digital Psychoeducation
- Where
- Pakistan
- Volunteers
- 110 people
- Sponsor
- Shifa International Hospital
Machine Intelligence in the Pharmacy
Preventing Medication Dispensing Errors in Pharmacy Practice with Interpretable Machine Intelligence: Wave 2
Pharmacists currently perform an independent double-check to identify drug-selection errors before they can reach the patient. However, the use of machine intelligence (MI) to support this cognitive decision-making work by…
- Trial name
- NCT06795477
- Testing
- No MI Help, Interpretable MI, Uninterpretable MI
- Where
- United States
- Volunteers
- 30 people
- Sponsor
- Corey Lester
Artificial Intelligence
Conversational AI in Tactical Casualty Care: Baseline GPT-4o Improves Combat Medic Decision-Making
The aim of the project is to investigate whether the integration of artificial intelligence (AI) support, specifically through the GPT-4 model, enhances the decision-making processes of military medical first responders within…
- Trial name
- FieldAI (NCT06796036)
- Testing
- Combat Medic Decision-Making with and without artificial intelligence assistance
- Where
- Czechia
- Volunteers
- 42 people, healthy volunteers welcome
- Sponsor
- Charles University, Czech Republic
Ulcerative Colitis
PRognOstiC valuE of rEd Density in Ulcerative Colitis
Observational prospective multicenter study: baseline assessement of the disease activity by an automated endoscopic tool and follow up of 52 weeks to evaluate sustained clinical remission.
- Trial name
- PROCEED-UC (NCT04408703)
- Testing
- Red Density
- Where
- 2 sites in Belgium
- Volunteers
- 243 people
- Sponsor
- Universitaire Ziekenhuizen KU Leuven
Medical Student
AI-Assisted Learning in Medicine
This multi-center retrospective cohort study investigates the real-world impact of integrating MetaGP-Edu, a proprietary AI tool fine-tuned for medical education, into the undergraduate Internal Medicine curriculum.
- Trial name
- NCT06945159
- Where
- 2 sites in China
- Volunteers
- 1,632 people, healthy volunteers welcome
- Sponsor
- Kang Zhang
Medical Malpractice, Artificial Intelligence in Medicine
The Impact of AI-Assisted Diagnosis and Treatment on Physicians' Potential Legal Liability: An Expert Perspective
The goal of this randomized vignette-based experiment is to investigate how AI-related contextual factors influence expert assessment of physician negligence in AI-assisted diagnosis and treatment scenarios among experts in…
- Conditions
- Medical Malpractice, Artificial Intelligence in Medicine, Clinical Decision-Making
- Trial name
- NCT07869303
- Testing
- General AI With a Standard-of-Care Recommendation, General AI With a Non-Standard-of-Care Recommendation, Expert AI With a Standard-of-Care Recommendation
- Volunteers
- 440 people, healthy volunteers welcome
- Sponsor
- Xie Xiaoyun
Sickle Cell Disorders
GenoMed4ALL: Improving SCD Classification and Prognosis by AI
GenoMed4All 'Genomics and Personalized Medicine for all though Artificial Intelligence in Haematological Diseases' aims to advance on individual SCD patients' disease characterisation and to improve the monitoring of patients'…
- Trial name
- GenoMed4ALL (NCT06019208)
- Where
- 5 sites in France, Italy and 2 more
- Volunteers
- 1,000 people
- Sponsor
- Hospital Universitari Vall d'Hebron Research Institute
Hepatocellular Carcinoma
AD HOC Trial: Artificial Intelligence-Based Drug Dosing In Hepatocellular Carcinoma
This study will test the hypothesis that a novel combination of three drugs (sorafenib, sonidegib, and irinotecan), in conjunction with individually optimized doses, can be safely administered and lead to improved clinical…
- Trial name
- NCT05669339
- Testing
- Irinotecan, Sonidegib, Sorafenib
- Where
- United States
- Volunteers
- 12 people
- Sponsor
- University of Florida
Aging, Cellular Senescence
BIOANCIENT: Cohort of Centenarians in Navarra (1926-1927)
Demographic aging is a growing global challenge, driven by increasing life expectancy and declining birth rates, with projections indicating that more than 30% of the European population will be over 65 years old by 2100.
- Conditions
- Aging, Cellular Senescence, Biomarkers / Blood, Age-Related Diseases
- Trial name
- BIOANCIENT (NCT07707297)
- Where
- Spain
- Volunteers
- 333 people
- Sponsor
- Fundacion Miguel Servet
Artificial Intelligence (AI), Clinical Reasoning
Teaching Doctors in Training to Reason With Artificial Intelligence
The purpose of the TEACH-AI study is to assess whether a brief, structured workshop on artificial intelligence can improve the performance of medicine doctors in training (i.e.
- Conditions
- Artificial Intelligence (AI), Clinical Reasoning, Clinical Decision-making, Medical Education
- Trial name
- TEACH-AI (NCT07813754)
- Testing
- Workshop-First
- Where
- 4 sites in United States
- Volunteers
- 200 people, healthy volunteers welcome
- Sponsor
- Beth Israel Deaconess Medical Center
Myasthenia Gravis
TCM Tongue Diagnosis and Syndrome Differentiation in Myasthenia Gravis Compared to Healthy Controls
Myasthenia gravis primarily results from neuromuscular junction dysfunction and damage, leading to chronic muscle weakness. While combined traditional and Western medicine treatments are now common, TCM tongue diagnosis remains a…
- Trial name
- NCT06754020
- Testing
- Heart Rate Variability,HRV - ANSWatch, Traditional Chinese Medicine Tongue Imaging
- Where
- Taiwan
- Volunteers
- 100 people, healthy volunteers welcome
- Sponsor
- Yi Ting Yeh
Acute Appendicitis
TACTILE : Validation of a Teleconsultation-Based Predictive Score for the Diagnosis of Acute Appendicitis in Children Using Artificial Intelligence Methods
Acute appendicitis is the most common abdominal surgical emergency in children and a frequent cause of pediatric emergency department visits.
- Trial name
- TACTILE (NCT07479849)
- Testing
- Score-based appendicitis risk classification in teleconsultation
- Where
- France
- Volunteers
- 1,500 people
- Sponsor
- University Hospital, Angers
Medical Education, Artificial Intelligence in Medicine
An AI Educational Agent for Medical Machine Learning Courses
The goal of this interventional study is to evaluate the effectiveness of a Large Language Model (LLM)-based educational AI Agent in graduate students (Masters and PhD) specializing in medicine or nursing who are enrolled in the…
- Trial name
- NCT07449182
- Testing
- KGRAG-based AI Educational Agent System
- Where
- China
- Volunteers
- 56 people, healthy volunteers welcome
- Sponsor
- Sun Yat-sen University