Clinical trials: Deep Learning
Cardiac Amyloidosis
Cardiac Amyloidosis Discovery Trial
This is a single center, diagnostic clinical trial in which the investigators aim to prospectively validate a deep learning model that identifies patients with features suggestive of cardiac amyloidosis, including transthyretin…
- Trial name
- NCT06469372
- Testing
- Cardiac amyloidosis deep learning model
- Where
- United States
- Volunteers
- 50 people
- Sponsor
- Pierre Elias
Respiratory Rate
Evaluating the Non-Inferiority of Airmod to Capnostream™35
This study is a multi-center clinical study of non-invasive medical device in Taiwan. After pre-anaesthesia evaluation, subjects who are suitable for intravenous general anesthesia (IVG) and age 20 years or older will be…
- Trial name
- NCT05263791
- Testing
- Airmod
- Where
- 3 sites in Taiwan
- Volunteers
- 284 people
- Sponsor
- Heroic Faith Medical Science Co., Ltd.
Diabetic Retinopathy, Diabetic Eye Problems
Detection and Classification of Diabetic Retinopathy From Posterior Pole Images With A Deep Learning Model
The duration of diabetes is directly related to eye complications. Diabetic retinopathy affects 80 percent of those who have had diabetes for 20 years or more.
- Conditions
- Diabetic Retinopathy, Diabetic Eye Problems, Diabetic Macular Edema
- Trial name
- NCT04805541
- Testing
- Color Fundus Photography, Mydriatic Agent, EyeCheckup - AI Based DR Screening
- Where
- Turkey (Türkiye)
- Volunteers
- 900 people
- Sponsor
- Ural Telekomunikasyon Sanayi Ticaret Anonim Sirketi
Type2 Diabetes
Social Network Analysis to Identify Community Health Workers
The objective of this study is to recruit influential community members using Snowball Sampling Methods. Community members identified through social network analysis as influential and well-connected will be trained as community…
- Trial name
- NCT04210024
- Testing
- Diabetes Empowerment Education Program
- Where
- 2 sites in United States
- Volunteers
- 91 people, healthy volunteers welcome
- Sponsor
- Brittany L Smalls
Deep Vein Thrombosis, Deep Vein Thrombosis, Pulmonary Embolus
Determining the Validity of ThinkSono Guidance for Ultrasound Image Acquisition and Remote Detection
The purpose of this study is to confirm the safety and efficacy of ThinkSono Guidance, a software data collection and communication tool designed to collect ultrasound data to help detect blood clots in veins.
- Trial name
- DVT GUARD (NCT06652568)
- Testing
- ThinkSono System
- Where
- 5 sites in United States
- Volunteers
- 634 people
- Sponsor
- ThinkSono, Ltd.
Coronary Artery Disease
Deep-Learning Image Reconstruction in CCTA
Cardiac CT allows the assessment of the heart and of the coronary arteries by use of ionising radiation. Although radiation exposure was significantly reduced in recent years, further decrease in radiation exposure is limited by…
- Trial name
- NCT03980470
- Testing
- TrueFidelity
- Where
- Switzerland
- Volunteers
- 50 people
- Sponsor
- University of Zurich
Acute Ischemic Stroke (AIS)
Deep Learning Enabled Endovascular Stroke Therapy Screening in Community Hospitals
After onset of Acute Ischemic Stroke (AIS), every minute of delay to treatment reduces the likelihood of a good clinical outcome.
- Trial name
- NCT05838456
- Testing
- Viz.AI software
- Where
- United States
- Volunteers
- 443 people
- Sponsor
- The University of Texas Health Science Center, Houston
Venous Thromboembolism, Deep Venous Thrombosis
Education Bundle to Decrease Patient Refusal of VTE Prophylaxis
The investigators have recently developed a registry of missed doses of VTE prophylaxis that includes retrospective data on missed doses of VTE prophylaxis.
- Conditions
- Venous Thromboembolism, Deep Venous Thrombosis, Pulmonary Embolism
- Trial name
- NCT02402881
- Testing
- Patient-centered education bundle
- Where
- United States
- Volunteers
- 19,652 people
- Sponsor
- Johns Hopkins University
Bone Age
Validation of an Artificial Intelligence-based Algorithm for Skeletal Age Assessment
The purpose of this study is to understand the effects of using an Artificial Intelligence algorithm for skeletal age estimation as a computer-aided diagnosis (CADx) system.
- Trial name
- NCT03530098
- Testing
- BoneAgeModel
- Where
- 6 sites in United States
- Volunteers
- 1,903 people
- Sponsor
- Stanford University
Venous Thromboembolism
A Trial to Learn How Well REGN9933 Works for Preventing Blood Clots After Knee Replacement Surgery in Adult Participants
The primary objective of the study is to evaluate the efficacy of REGN9933 for the prevention of venous thromboembolism (VTE) after unilateral total knee arthroplasty (TKA), compared to enoxaparin The secondary objectives of the…
- Trial name
- NCT05618808
- Testing
- REGN9933, Enoxaparin, Apixiban
- Where
- 16 sites in Belgium, Bulgaria and 5 more
- Volunteers
- 373 people
- Sponsor
- Regeneron Pharmaceuticals