Clinical trials: Artificial
Scoliosis Idiopathic Adolescent, Scoliosis
Deep Learning for Early Scoliosis Detection Using mmWave Radar Gait Data
Scoliosis is a sideways curvature of the spine that often develops during childhood and adolescence. When detected early, scoliosis can be managed effectively with non-invasive approaches such as bracing and physiotherapy, while…
- Trial name
- ScoliRadar-AI (NCT07593560)
- Testing
- mmWave Radar Gait Assessment
- Where
- Turkey (Türkiye)
- Volunteers
- 200 people, healthy volunteers welcome
- Sponsor
- Gebze Technical University
Keratoconus, Keratoconus, Artificial Intelligence, Support Vector Machine
Predicting Manifest Astigmatism in Keratoconus Patients.
The cornea of the human eye has several functions. It is transparent to allow light into the eye and its shape focuses the incoming light onto the retina.
- Trial name
- NCT06798779
- Testing
- Glasses, Corneal topography
- Where
- United Kingdom
- Volunteers
- 800 people
- Sponsor
- Royal Devon and Exeter NHS Foundation Trust
Infants Aged One Month to 2 Years , Infants With Any Type of Feeding (Breast or Artificial or Weaned Attend Assiut University Children Hospital )
Causes and Underlying Factors of Faltering Growth Among Infants
to research in the different causes of failure to thrive in children including organic and non organic causes
- Trial name
- NCT03283215
- Testing
- complete blood count , electrolytes
- Volunteers
- 100 people
- Sponsor
- Assiut University
Cancer
Safety and Tolerability of AI-Designed Pan-Cancer Neoantigen mRNA Vaccine (PAN-NeoVax) in Advanced Solid Tumors
This is a phase I, open-label, single-arm, single-center, dose-escalation study to evaluate the safety, tolerability, and preliminary anti-tumor efficacy of PAN-NeoVax, an artificial intelligence (AI)-designed pan-cancer…
- Trial name
- NCT07560943
- Testing
- PAN-NeoVax (25 μg), PAN-NeoVax (50 μg), PAN-NeoVax (100 μg)
- Where
- 2 sites in China
- Volunteers
- 9 people
- Sponsor
- West China Hospital
Sepsis, Postoperative Complications
Risk Factors Identification of Sepsis and Septic Shock After Major Abdominal Surgery Based on Artificial Intelligence
The goal of this observational study is to identify the risk factors and build the early warning system of sepsis and septic shock after major abdominal surgery based on artificial intelligence.
- Trial name
- NCT06684340
- Testing
- Exposure to major abdominal surgery
- Volunteers
- 22,646 people
- Sponsor
- Xinhua Hospital, Shanghai Jiao Tong University School of Medicine
Internal Disorders
Real-world Clinical Study and Medical Machine Intelligence Study for Traditional Chinese Internal Medicine
This real-world study aimed at 1. exploring the relationships of traditional Chinese medicine (TCM) syndrome and internal diseases, 2. investigating the relationships of TCM treatment and internal diseases, and 3.
- Trial name
- NCT03274908
- Testing
- regular medical treatment
- Where
- China
- Volunteers
- 2,000,000 people
- Sponsor
- Shanghai Tongji Hospital, Tongji University School of Medicine
Type 2 Diabetes
Closed-loop in Adults With T2D Not Requiring Dialysis
The main objective of this study is to determine the efficacy, safety and utility of fully automated closed-loop glucose control in the home setting over an 8 week period in adults with type 2 diabetes (T2D).
- Trial name
- AP-Renal (NCT04701424)
- Testing
- CamAPS HX Closed-loop, Multiple Daily Insulin Injections (Control)
- Where
- United Kingdom
- Volunteers
- 30 people
- Sponsor
- University of Cambridge
Atrial Fibrillation
A Study on the Effectiveness of the Application of an Artificial Intelligence Algorithm for Calibrating PPG With ECG to Improve the Accuracy of Atrial Fibrillation Burden Estimation
Use the ECG watch to collect W-PPG and W-ECG data. Through artificial intelligence algorithms, compare the W-PPG data collected by the ECG watch and the W-PPG data calibrated by the W-ECG data of the ECG watch with the P-ECG data…
- Trial name
- EASE-AF (NCT06552468)
- Testing
- AF monitoring by a smartwatch with PPG
- Where
- China
- Volunteers
- 1,054 people
- Sponsor
- Beijing Anzhen Hospital
Degenerative Disc Disease
Activ-L™ Artificial Disc Treatment of Degenerative Disc Disease in the Treatment of Degenerative Disc Disease
The purpose of this study is to learn whether an investigational device called the Activ-L Artificial Disc is safe and effective in the treatment of degenerative disc disease of the lower (lumbar) spine.
- Trial name
- NCT00589797
- Testing
- Activ-L Artificial Disc, ProDisc-L Total Disc Replacement or Charité Artificial Disc
- Where
- 17 sites in United States
- Volunteers
- 376 people, healthy volunteers welcome
- Sponsor
- Aesculap Implant Systems
Physical Performance
Effects of AI-Generated Resistance Training on Neuromuscular Performance in Sedentary Men
The goal of this clinical trial is to learn how an artificial intelligence-generated resistance training program affects muscle performance in sedentary men aged 18 to 35 years.
- Trial name
- NCT07895446
- Testing
- Artificial Intelligence-Generated Resistance Training, Conventional Resistance Training
- Where
- Turkey (Türkiye)
- Volunteers
- 30 people, healthy volunteers welcome
- Sponsor
- Marmara University
Heart Failure
Multidisciplinary Approach for High Risk Patients Leading to Early Diagnosis of Canadians in Heart Failure
The goal of this study is improve the screening of heart failure and identify patients early who are at risk of heart failure. The main question[s] it aims to answer are: will an electronic health records (EHR) case finding…
- Trial name
- MAPLE-CHF (NCT05859048)
- Testing
- NT-proBNP, AI echocardiogram, electrocardiogram
- Where
- 3 sites in Canada
- Volunteers
- 1,360 people
- Sponsor
- Cardiology Research UBC
Artificial Intelligence, Deep Learning
Development and Demonstration of Intelligent Assessment Based on Multi-modal Information Fusion for Tumor Risk and Diagnosis and Treatment
To improve the accuracy of risk prediction, screening and treatment outcome of cancer, we aim to establish a medical database that includes standardized and structured clinical diagnosis and treatment information, image features…
- Conditions
- Artificial Intelligence, Deep Learning, Lung Cancer, Lung; Node
- Trial name
- NCT06653478
- Testing
- No Intervention
- Where
- China
- Volunteers
- 3,000 people, healthy volunteers welcome
- Sponsor
- Union Hospital, Tongji Medical College, Huazhong University of Science and Technology
Type 1 Diabetes Mellitus With Artificial Pancreas Device
OCT and OCT-A Deep Learning in Diabetic Patients Wiht Artificial Pancreas Device
This study evaluates the ability of deep learning to improve the knowledge about structural and vascular retinal changes in diabetic patients undergoing artificial pancreas device, using optical coherence tomography angiography.
- Trial name
- NCT05809843
- Testing
- hybrid artificial pancreas systems (CSII)
- Where
- Italy
- Volunteers
- 11 people, healthy volunteers welcome
- Sponsor
- Federico II University
Tetanus
Real-time Artificial Intelligent (AI)-Assisted Muscle Ultrasound for Monitoring Muscle Mass Reduction in ICU Patients
This study aims to investigate the feasibility of using a real-time artificial intelligent (AI)-assisted tool for Rectus Femoris cross sectional area measurement from muscle ultrasound to improve reliability, reduce inter- and…
- Trial name
- RAIMUS (NCT06034093)
- Testing
- Real-time AI-assisted muscle ultrasound
- Where
- Vietnam
- Volunteers
- 254 people
- Sponsor
- Oxford University Clinical Research Unit, Vietnam
Respiration, Artificial, Lung Diseases
Impact of Lung Recruitment Maneuvers on Driving Pressure in Cardiac Surgery
In anesthesia the incidence of postoperative pulmonary complications is frequent, especially in cardiac surgery where the incidence can reach 10%.
- Conditions
- Respiration, Artificial, Lung Diseases, Atelectasis, Cardiac Surgical Procedures
- Trial name
- IMPREMO (NCT03976947)
- Where
- France
- Volunteers
- 217 people
- Sponsor
- University Hospital, Caen
Women's Health, Annual Visit
Precision Nudging Drives Wellness Visit Attendance at Scale
The purpose of the present randomized controlled trial is to explore the effectiveness of a 12-month well woman digital health intervention leveraging Precision Nudging - the application of behavioral science and reinforcement…
- Conditions
- Women's Health, Annual Visit, Well Visit, Health Behavior
- Trial name
- NCT05509049
- Testing
- Precision nudging, Standard of care
- Where
- United States
- Volunteers
- 30,068 people, healthy volunteers welcome
- Sponsor
- Lirio
Cervical Cancer, Screening
Novel, One Stop, Affordable, Point of Care and AI Supported System of Screening, Triage and Treatment Selection for Cervical Cancer in LMICs
Artificial intelligence (AI) is fast gaining reputation as a highly promising solution for cervical cancer screening. AI-based detection of cervical neoplasias is named automated visual exam (AVE) by the National Cancer…
- Trial name
- EASTER (NCT06042543)
- Testing
- Screening with HPV test
- Where
- 2 sites in United States, Zimbabwe
- Volunteers
- 3,200 people
- Sponsor
- International Agency for Research on Cancer
Ophthalmology
The Clinical Application of Artificial Intelligent(AI) Visual Inspection System
In this study, the investigators provide participants from ophthalmic clinic the AI visual inspection system and EDTRS in the purpose of seeking out a better way of visual inspection with high efficiency and accuracy, and report…
- Trial name
- AI (NCT03310216)
- Testing
- Order I of visual inspection, Order II of visual inspection
- Where
- China
- Volunteers
- 100 people, healthy volunteers welcome
- Sponsor
- Sun Yat-sen University
Bowel Preparation, Colonoscopy
Multimodal AI-Assisted Bowel Preparation for Colonoscopy
This randomized controlled trial aims to evaluate the effectiveness of a multimodal artificial intelligence (AI)-assisted smartphone application in improving bowel preparation outcomes among hospitalized adults undergoing…
- Trial name
- MMAI-BP (NCT07812155)
- Testing
- Multimodal AI-Assisted Bowel Preparation Education
- Where
- Taiwan
- Volunteers
- 140 people
- Sponsor
- Chiayi Christian Hospital
Graft Rejection, Kidney Transplantation
Artificial Intelligence Model for Renal Allograft Rejection Identification, Lesion Quantification and Rejection Risk Prediction Based on Prospective Renal Transplant Pathology and Clinical Multidimensional Data
This prospective research collects leftover kidney biopsy tissue slides and matching routine clinical data from patients who received kidney transplants and underwent standard kidney puncture biopsy at Zhejiang University School…
- Conditions
- Graft Rejection, Kidney Transplantation, Glomerulonephritis, Polyomavirus Infections
- Trial name
- NCT07741552
- Where
- China
- Volunteers
- 1,000 people
- Sponsor
- Chen Dajin