Clinical trials: Artificial Intelligence Algorithms
Myopia
Effect of Using Myopia Prediction Algorithm on Myopia School-aged Children
In this study, the investigators aim to perform a prospective, randomized controlled study to compare the myopia development between myopia children using myopia prediction algorithm and myopia children without using myopia…
- Trial name
- NCT04045951
- Testing
- Myopia prediction algorithm
- Where
- China
- Volunteers
- 2,138 people, healthy volunteers welcome
- Sponsor
- Sun Yat-sen 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
Cancer
One Million Cancer Treatment Months
The OMCAT Register aims to provide learning databases in cancer comprising both PRO data using PRO-React and "ground truth" (outcome data verified by the physician during patient examinations).
- Trial name
- OMCAT (NCT04531995)
- Testing
- CANKADO PRO-React Onco
- Where
- 4 sites in Germany
- Volunteers
- 166,000 people
- Sponsor
- Cankado GmbH
Diabetic Retinopathy, Glaucoma
AI for the Detection of Retinal Disease and Glaucoma in Patients With Diabetes Mellitus in Primary Care
Background: Diabetic retinopathy (DR) is one of the most important causes of blindness worldwide, especially in developed countries.
- Conditions
- Diabetic Retinopathy, Glaucoma, Age-Related Macular Degeneration, Choroidal Nevus
- Trial name
- NCT04132401
- Testing
- algorithm
- Where
- Spain
- Volunteers
- 902 people
- Sponsor
- Fundacio d'Investigacio en Atencio Primaria Jordi Gol i Gurina
Lung Nodule
Evaluating the Real World Performance of an AI Based Lung Nodule Detection Tool
chest x-rays will be analyzed by AI software for a secondary read of lung nodules. Chest x-rays will either be sent to the AI tool to be read or to radiologists to read.
- Trial name
- NCT06597968
- Testing
- AI Based CAD Software (qXR-Ln)
- Where
- United States
- Volunteers
- 44,900 people
- Sponsor
- University Hospitals Cleveland Medical Center
Childhood Asthma
Towards an Algorithmic Approach to Asthma Management: Collaborative Definition of Algorithm Objectives With Families
Using "big data" and artificial intelligence techniques, it becomes possible to envision algorithms for managing childhood asthma on a daily basis.
- Trial name
- COPA (NCT05064579)
- Testing
- Questionnaires
- Where
- 6 sites in France
- Volunteers
- 307 people
- Sponsor
- Assistance Publique - Hôpitaux de Paris
Left Ventricular Dysfunction, Heart Failure
Detection of Heart Conditions Using Artificial Intelligence
The purpose of this study is to evaluate how Eko AI performs in the real world, front-line setting where the availability of sophisticated, expensive diagnostic tools is limited, and where there is a premium on detecting VHD…
- Trial name
- NCT04933890
- Testing
- Use of Eko DUO electronic stethoscope
- Where
- United States
- Volunteers
- 68 people
- Sponsor
- Eko Devices, Inc.
Residual Paralysis, Post Anesthesia, Postoperative Complications
Predicting Neuromuscular Recovery in Surgical Patients Using Machine Learning
Despite emerging efforts to decrease residual paralysis and postoperative complications with the use of quantitative neuromuscular monitoring and reversal agents their incidences remain high.
- Conditions
- Residual Paralysis, Post Anesthesia, Postoperative Complications, Neuromuscular Blockade, Quantitative Neuromuscular Monitoring
- Trial name
- PINES (NCT05471882)
- Where
- 2 sites in Germany
- Volunteers
- 240,000 people
- Sponsor
- University Hospital Ulm
Atherosclerosis, Atheroscleroses, Coronary
Detection of Coronary Artery Calcifications by Whole Blood Transcriptome Analyzed by Artificial InTelligence Algorithms
The goal of this observational study is to determine the diagnostic accuracy of peripheral whole blood transcriptomes analyzed by an artificial intelligence algorithm to detect the presence and extent of coronary calcification in…
- Conditions
- Atherosclerosis, Atheroscleroses, Coronary, Atherosclerotic Plaque
- Trial name
- CAC-TRAIT (NCT05619042)
- Where
- Argentina
- Volunteers
- 800 people, healthy volunteers welcome
- Sponsor
- Santiago Gabriel Miriuka
Naevi
Development of an Aid to Melanoma Detection Using Artificial Intelligence Algorithms Based on Images From the VECTRA 3D System.
The background to this research is that frequent medical screening of the general population for melanoma is not feasible. The real challenge of this project is to develop an automatic process for detecting any potential…
- Trial name
- SELF DETECT (NCT06999499)
- Testing
- Scanner of the whole body using the VECTRA 3D
- Where
- France
- Volunteers
- 1,000 people, healthy volunteers welcome
- Sponsor
- Assistance Publique Hopitaux De Marseille
Lymphoma, Non-Hodgkin, Care Coordination
AI-based Predictive and Interventional System for Early Detection of Non-compliance Risks With Oral Therapies in Lymphoma Patients.
This research forms part of a continuous quality improvement initiative. It aims to assess patient compliance of oral therapies by artificial intelligence.
- Trial name
- LNH-AI-Tools (NCT07546188)
- Testing
- Retrospective Group, Prospective Group
- Where
- Belgium
- Volunteers
- 210 people
- Sponsor
- Grand Hôpital de Charleroi
Respiration Disorders, Swallowing Disorder
Artificial Intelligence in Diagnosing Dysphagia Patients
In this prospective study we extracted acoustic parameters using PRAAT from patient's attempt to phonate during the clinical evaluation using a digital smart device.
- Conditions
- Respiration Disorders, Swallowing Disorder, Phonation Disorder, Stroke
- Trial name
- NCT05098808
- Testing
- Acoustic features (from signals obtained during phonation)
- Where
- South Korea
- Volunteers
- 449 people
- Sponsor
- The Catholic University of Korea
Oral Health, Dental Caries
The Use of Artificial Intelligence in the Dental X-rays Analysis
This cross-sectional study aims to perform a population-based assessment of the incidence of decay, dental fillings, root canal fillings, endodontic lesions, implants, implant and dental abutment crowns, pontic crowns, and…
- Conditions
- Oral Health, Dental Caries, Periapical Diseases, Tooth Loss
- Trial name
- NCT06258798
- Testing
- Taking a dental X-ray
- Where
- Poland
- Volunteers
- 1,025 people
- Sponsor
- Hospital of the Ministry of Interior, Kielce, Poland
Lung Diseases, Lung Neoplasm
The Use of Artificial Intelligence to Predict Cancerous Lymph Nodes for Lung Cancer Staging During Ultrasound Imaging
This study aims to determine if a deep neural artificial intelligence (AI) network (NeuralSeg) can learn how to assign the Canada Lymph Node Score to lymph nodes examined by endobronchial ultrasound transbronchial needle…
- Trial name
- NCT03849040
- Testing
- Endobronchial Ultrasound
- Where
- Canada
- Volunteers
- 52 people
- Sponsor
- St. Joseph's Healthcare Hamilton
Coronary Stent Occlusion
CT-FFR for Coronary In-stent Stenosis Based on ISR-Net Algorithm
CT-FFR(CT-derived flow reserve fraction) usually could not been measured accurately for in-stent lesions due to the serious interference with the metal structs.
- Trial name
- NCT05131191
- Testing
- CT-FFR measurement, invasive FFR
- Where
- China
- Volunteers
- 150 people
- Sponsor
- Beijing Hospital
Acute Heart Failure, Diagnosis
Prospective Validation of the CoDE-HF Algorithm for the Diagnosis of Acute Heart Failure
Acute heart failure is a life-threatening condition where the heart is suddenly unable to pump blood around the body. It can be challenging to diagnose because the symptoms often mimic other conditions.
- Trial name
- ProVa CoDE-HF (NCT05518396)
- Testing
- CoDE-HF decision support tool
- Where
- United Kingdom
- Volunteers
- 3,808 people
- Sponsor
- University of Edinburgh
Myocardial Infarction or Chest Pain
ROMIAE (Rule-Out Acute Myocardial Infarction Using Artificial Intelligence Electrocardiogram Analysis) Trial
This study is a prospective multicenter observational study for external validation and model advancement of a deep learning based 12-lead electrocardiogram analysis algorithm targeting adult patients presenting to the emergency…
- Trial name
- ROMIAE (NCT05435391)
- Where
- South Korea
- Volunteers
- 8,814 people
- Sponsor
- CHA University
Kidney Cancers, Prostate Cancer
Assessment of Intelligent Algorithms for Detection, Diagnosis and Risk Stratification of Tumors of the Kidney and Prostate
The COMFORT study will evaluate an artificial intelligence-based platform developed to support the clinical assessment of kidney and prostate cancer.
- Trial name
- COMFORT (NCT07888322)
- Testing
- Medical Reading, AI assisted Medical reading
- Where
- 6 sites in Germany, Greece and 2 more
- Volunteers
- 50 people, healthy volunteers welcome
- Sponsor
- Aristotle University Of Thessaloniki
Delivery Complication, Delivery Problem
Delivery Outcomes by AIDA (Artificial Intelligence Dystocia Algorithm) Analysis
Aims: Primary aim is to investigate outcomes of eutocic labor, evaluating intrapartum ultrasound parameters by AIDA method: Angle of progression (AoP), Asynclitism degree (AD), fetal head-symphysis distance (HSD), and midline…
- Conditions
- Delivery Complication, Delivery Problem, Delivery; Injury, Delivery; Injury, Maternal
- Trial name
- AIDA (NCT06664112)
- Testing
- AIDA Analysis
- Where
- 2 sites in Italy
- Volunteers
- 1,000 people, healthy volunteers welcome
- Sponsor
- Centro di Ricerca Clinica Salentino
Skin Diseases, Skin Condition
Pilot Study: AI Algorithm for Dermatology Referral Optimization
The goal of this observational prospective and analytical study is to validate that the device is a valid tool for improving the adequacy of referrals to dermatology.
- Trial name
- DAO_DERIVATION (NCT06228014)
- Where
- Spain
- Volunteers
- 200 people
- Sponsor
- AI Labs Group S.L