Clinical trials: AI (Artificial Intelligence)
Depressive Disorder, Depressive Symptoms
AI Mental Health Tool vs. Psychoeducation Control
The goal of this clinical trial is to learn if Ash, an AI chat tool for mental health, works better than static psychoedcuation in reducing mental health symptoms.
- Trial name
- NCT07841483
- Testing
- Ash, Brief Therapist-Delivered Telehealth
- Where
- United States
- Volunteers
- 500 people
- Sponsor
- Slingshot AI
Limb Deformity
Early Intelligent Diagnosis of Limb Deformity in Children by AI and Clinic Application
The limb deformity in children include congenital limb malformations or acquired from the damage of epiphyseal plate which caused by tumor, inflammation and trauma.
- Trial name
- NCT04527029
- Testing
- No interventions
- Volunteers
- 9,000 people
- Sponsor
- Children's Hospital of Fudan University
Subclinical Depression, Subclinical Anxious Adults
AI-Assisted Mindfulness Intervention in Emotional Distress
The goal of this clinical trial is to learn whether an artificial intelligence-assisted internet-based mindfulness intervention for emotional distress (iMIED) can prevent or reduce anxiety and depressive symptoms in adults with…
- Conditions
- Subclinical Depression, Subclinical Anxious Adults, Subclinical Emotional Distress
- Trial name
- NCT07542561
- Testing
- Artificial Intelligence-Assisted Internet-Based Mindfulness Intervention
- Where
- China
- Volunteers
- 550 people
- Sponsor
- Xinghua Liu
Drug-related Iatrogenesis, Emergency Department
Optimization of Medical Time in the Emergency Department: Impact of an AI-Based System on Prescription Entry
Drug-related iatrogenesis is a major public health issue, accounting for a significant proportion of adverse events and hospitalizations in emergency departments.
- Conditions
- Drug-related Iatrogenesis, Emergency Department, Artificial Intelligence, Clinical Decision Support
- Trial name
- YGénHIAL (NCT07312019)
- Testing
- current hospital-standard databases, Posos
- Where
- France
- Volunteers
- 770 people
- Sponsor
- Centre Hospitalier Universitaire, Amiens
Ultrasound Imaging of Anatomical Structures
Data Collection for the Validation of an Artificial Intelligence Software to Support Musculoskeletal Ultrasound Examination
This study conducted at three locations, aiming to collect ultrasound images from volunteers and assess the performance of an AI software, MSK Go, using these images.
- Trial name
- NCT07336407
- Testing
- Ultrasound Scans
- Where
- 3 sites in United States
- Volunteers
- 79 people, healthy volunteers welcome
- Sponsor
- Smart Alfa Teknoloji San. ve Tic. A.S.
Gaucher Disease Type 1
A Second-generation AI Based Therapeutic Regimen in Patients With Gaucher Disease Treated With Enzyme Replacement Therapy.
An open-labeled, prospective, single-center proof-of-concept study. Patients with Gaucher Disease aged 18-75 who received intravenous Enzyme Replacement Therapy once every two weeks were enrolled.
- Trial name
- NCT06050967
- Testing
- Enzyme replacement therapy for Gaucher disease in combination with altus care application
- Where
- Israel
- Volunteers
- 5 people
- Sponsor
- Hadassah Medical Organization
Liver Diseases, Gallbladder Diseases
Research on Construction and Verification of Multimodal Medical Imaging Large Model
With the accumulation of multimodal clinical data such as medical imaging and electronic health records (EHRs), efficient utilization of multi-source information to achieve precise diagnosis and intelligent decision-making has…
- Conditions
- Liver Diseases, Gallbladder Diseases, Pancreatic Diseases, Artificial Intelligence (AI)
- Trial name
- NCT07445152
- Volunteers
- 2,000 people
- Sponsor
- Second Affiliated Hospital, Zhejiang University, School of Medicine
Cancer
ACTIVATE: AI-driven Clinical-trial Trial-Information and Viability Assessment Tool for EHRs
This study aims to develop and evaluate ACTIVATE, an AI-driven tool for clinical trial information and viability assessment using electronic health records (EHRs).
- Trial name
- ACTIVATE (NCT07232043)
- Testing
- MatchMiner-AI Artificial Intelligence Tool
- Where
- United States
- Volunteers
- 70,000 people
- Sponsor
- Dana-Farber Cancer Institute
Allergic Rhinitis, Rhinitis, Allergic
AI-Guided Ultrasound Needling of Xinwu Point for Allergic Rhinitis
This study evaluated a new way to perform acupuncture at a deep point called the Xinwu point (sphenopalatine ganglion) for allergic rhinitis (hay fever-like nasal allergy).
- Trial name
- NCT07778537
- Testing
- AI-guided Xinwu-point acupuncture, Blind Xinwu-point acupuncture
- Where
- China
- Volunteers
- 60 people
- Sponsor
- Daxing Teaching Hospital, Capital Medical University
Colorectal Cancer
Evaluating AI and Human Expert Decisions in Colorectal Cancer
The goal of this observational study is to evaluate the decision-making consistency between large language models (LLMs) and expert multidisciplinary teams (MDTs) in adult patients diagnosed with colorectal cancer who underwent…
- Trial name
- NCT07045207
- Testing
- LLM-MDT
- Where
- China
- Volunteers
- 1,500 people
- Sponsor
- Peking University Cancer Hospital & Institute
Heart Failure, Atrial Fibrillation (AF)
AI-Based Cardiac Analysis Using 12-Lead and 1-Lead ECG
This pilot study is designed to evaluate the clinical performance and utility of the SmartECG-EF software in patients undergoing evaluations at Inha University Hospital.
- Conditions
- Heart Failure, Atrial Fibrillation (AF), Electrocardiogram
- Trial name
- NCT07844434
- Testing
- SmartECG-EF
- Where
- South Korea
- Volunteers
- 300 people
- Sponsor
- Inha University Hospital
Hearing Loss, Adult-Onset, Tinnitus
AI-assisted Diagnosis, Triage and Assessment of Hearing Loss and Tinnitus
Hearing loss affects approximately 11 million people in the UK, while tinnitus impacts around 7 million. Both conditions can significantly reduce quality of life and are linked to poorer mental health and employment challenges.
- Trial name
- NCT07586098
- Testing
- Artificial Intelligence (AI) Assisted Clinical Decision Support Tool for managing Hearing Loss and Tinnitus
- Where
- United Kingdom
- Volunteers
- 1,500 people
- Sponsor
- Royal Cornwall Hospitals Trust
High-Risk Multidisciplinary Care, Clinical Decision Support
ANCHOR Validation Trial in High-Risk Multidisciplinary Care
This pre-registered, pragmatic, three-arm (1:1:1) patient-level randomized controlled trial with mixed-effects analysis at the encounter level tests two questions in real high-risk multidisciplinary clinical encounters at the…
- Conditions
- High-Risk Multidisciplinary Care, Clinical Decision Support, Artificial Intelligence-Assisted Care, Telemedicine
- Trial name
- NCT07597499
- Testing
- Gemini 3.1 Pro with Safety Prompt, ANCHOR Clinical AI Verification Layer (with Gemini 3.1 Pro)
- Where
- United States
- Volunteers
- 240 people
- Sponsor
- Waymark
Dental Plaque
Comparative Accuracy of AI Models and Clinical Assessment for Dental Plaque Detection in Children
This diagnostic accuracy study aims to evaluate the effectiveness of various artificial intelligence models in detecting dental plaque from intraoral images compared to clinical assessments performed by dentists among children.
- Trial name
- NCT06760104
- Testing
- Dental Plaque Detection Using AI Models
- Where
- Egypt
- Volunteers
- 323 people
- Sponsor
- Naema Ahmed
Papillary Thyroid Carcinoma, Thyroid Neoplasms
RET-US Study - Ultrasound-Based Prediction of RET Alterations and Lateral-Neck Metastasis in Thyroid Cancer
Why is this study being done? RET gene alterations occur in only 5-10 % of papillary thyroid cancers, but they can change how surgeons treat the disease.
- Conditions
- Papillary Thyroid Carcinoma, Thyroid Neoplasms, RET Proto-Oncogene Mutation, Lymphatic Metastasis
- Trial name
- RET-US (NCT07042984)
- Testing
- AI-Ultrasound RET Prediction
- Where
- China
- Volunteers
- 800 people
- Sponsor
- Fujian Medical University
Pulmonary Hypertension (Diagnosis), Pre-operative Assessment
GUARD-PH: Guided Use of AI-ECG for Risk Detection of PH in Surgery (GUARD-PH Trial)
This study is a prospective, open-label, randomized controlled trial designed to evaluate a new artificial intelligence (AI) tool for heart monitoring.
- Conditions
- Pulmonary Hypertension (Diagnosis), Pre-operative Assessment, Postoperative Complications (Cardiopulmonary), Treatment Outcomes
- Trial name
- GUARD-PH (NCT07344207)
- Testing
- Artificial Intelligence-Enabled Electrocardiography System
- Where
- Taiwan
- Volunteers
- 1,380 people
- Sponsor
- Taipei Veterans General Hospital, Taiwan
Cancer-related Pain, Pain Assessment
Developing a Multimodal Cancer Pain Database to Support AI-Based Automatic Pain Assessment
The goal of this observational study is to collect short video and sound recordings of people with cancer to create a secure database that can be used in future research to develop an artificial intelligence (AI) tool for pain…
- Conditions
- Cancer-related Pain, Pain Assessment, Artificial Intelligence (AI), Oncology
- Trial name
- SENSAI-DBD (NCT07262632)
- Testing
- Audiovisual and questionnaire-based data collection (once), Audiovisual and questionnaire-based data collection (consecutive)
- Where
- Netherlands
- Volunteers
- 200 people
- Sponsor
- Dr. Mark Mulder
Preclinical Dental Education
AI-Generated Versus Human Feedback in Preclinical Restorative Dentistry
This study aims to compare the effects of artificial intelligence-generated feedback and human instructor feedback on learning outcomes in preclinical restorative dentistry education.
- Trial name
- AIF-HF (NCT07682116)
- Testing
- Artificial Intelligence-Generated Feedback, Human Instructor Feedback
- Where
- Turkey (Türkiye)
- Volunteers
- 140 people, healthy volunteers welcome
- Sponsor
- Seda Nur Karakaş
Gastric Cancer Stage, Gastric Cancer Patients Undergoing Gastrectomy
AI-Assisted Detection and Staging of Gastric Cancer Using Contrast-Enhanced CT
Accurate preoperative assessment of gastric cancer stage guides eligibility for endoscopic resection, extent of gastrectomy and lymphadenectomy, selection for neoadjuvant therapy, and use of staging laparoscopy.
- Trial name
- NCT07250347
- Testing
- CT scan
- Where
- China
- Volunteers
- 8,000 people
- Sponsor
- The First Affiliated Hospital with Nanjing Medical University
High-risk Pregnancy, Hospitalization
LLM-Generated Medical Summaries During Hospitalization to Improve Patient Activation in High-Risk Pregnancies
The goal of this clinical trial is to learn if AI-generated medical summaries help hospitalized pregnant participants better understand and actively participate in their own care.
- Conditions
- High-risk Pregnancy, Hospitalization, Patient Activation, Artificial Intelligence (AI)
- Trial name
- NCT07823517
- Testing
- LLM-Generated Medical Summaries
- Where
- Israel
- Volunteers
- 200 people
- Sponsor
- Sheba Medical Center