Clinical trials: Artificial Intelligence Algorithms
Growth, Neonates
Improving Artificial Intelligence-derived Algorithms for Estimating Length and Weight in NEonateS and infanTs up to 6 Months of Age (NEST)
The NEST study is a prospective, observational research study designed to collect clinical measurements and image data to develop and evaluate artificial intelligence (AI)-derived algorithms for estimating anthropometric…
- Conditions
- Growth, Neonates, AI (Artificial Intelligence)
- Trial name
- NEST (NCT07514182)
- Where
- Singapore
- Volunteers
- 60 people
- Sponsor
- Danone Asia Pacific Holdings Pte, Ltd.
Trauma (Including Fractures)
Artificial Intelligence Algorithm for the Interpretation of Traumatic Bone Radiographs
This diagnostic study aims to compare the performance of an artificial intelligence (AI) algorithm designed to assist in the interpretation of traumatic bone radiographs (all anatomical regions excluding the thorax) with that of…
- Trial name
- AI-Traumat (NCT07329881)
- Where
- Tunisia
- Volunteers
- 500 people
- Sponsor
- Hôpital Universitaire Sahloul
Melanoma (Skin), Melanoma in Situ
Research of Pathological Imaging Diagnosis of Ocular Tumors Based on New Artificial Intelligence Algorithm
The purpose of this study is to establish a standardized process for obtaining digital pathological image information of ocular tumors; use modern pathological techniques to obtain the co-expression information of multiple…
- Conditions
- Melanoma (Skin), Melanoma in Situ, Nevus Eye, Sebaceous Gland Carcinoma of the Eyelid
- Trial name
- NCT04695015
- Volunteers
- 100 people
- Sponsor
- Peking University
Laparoscopic Pancreaticoduodenectomy
Establishment and Application of an Artificial Intelligence Algorithm for Automatic Identification of Intraoperative Bleeding During Laparoscopic Pancreaticoduodenectomy
Surgeons will label surgical videos of laparoscopic pancreaticoduodenectomy with bleeding information from multicenter. The labeled surgical video will be used as training material to train the algorithmic model so as to build an…
- Trial name
- NCT06172062
- Testing
- laparoscopic pancreaticoduodenectomy
- Where
- China
- Volunteers
- 400 people
- Sponsor
- Xinrui Zhu，MD
Length, Weight
A Growth Artificial Intelligence Algorithm for leNgth and Weight Study
This is a data collection and machine learning accuracy testing project that aims to a) collect training data to enhance, by machine learning, an artificial intelligence (AI) algorithm for measuring length in infants and young…
- Trial name
- GAINS (NCT06920550)
- Where
- 4 sites in Netherlands, Poland and 1 more
- Volunteers
- 250 people, healthy volunteers welcome
- Sponsor
- Nutricia Research
Acne, Acne Vulgaris
Clinical Workflow Optimization Using Artificial Intelligence for Dermatological Conditions
Artificial intelligence (AI) based on imaging holds tremendous potential to enhance visual diagnostic accuracy in the medical field.
- Conditions
- Acne, Acne Vulgaris, Alopecia, Androgenetic, Pigmented Lesions
- Trial name
- IDEI_2023 (NCT06263413)
- Where
- Spain
- Volunteers
- 150 people
- Sponsor
- AI Labs Group S.L
Spinal Epidural Hematoma
Establishment of Clinical Prediction Model for Postoperative Symptomatic Spinal Epidural Hematoma
The goal of this observational study is to establish a clinical prediction model based on artificial intelligence algorithms for patients with postoperative symptomatic spinal epidural hematoma(PSSEH) after spinal surgery.
- Trial name
- NCT06633848
- Testing
- spinal surgery
- Where
- China
- Volunteers
- 2,000 people
- Sponsor
- Peking University Third Hospital
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
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
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
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
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
Iron Deficiencies
A Study to Collect Data to Build Artificial Intelligence Derived Algorithms for Estimating Risk of Iron Deficiency and Anaemia in African Children
An exploratory study to collect data to build artificial intelligence derived algorithms for estimating iron status in African children
- Trial name
- FERROUS 3 (NCT07186205)
- Testing
- Standard blood test, Imaging and videography of anatomical sites
- Where
- 3 sites in Côte d’Ivoire
- Volunteers
- 126 people, healthy volunteers welcome
- Sponsor
- Danone Asia Pacific Holdings Pte, Ltd.
Lung Cancer, Breast Cancer
Observational Study Evaluate Pathology Practice Use Artificial Intelligence in Patient Suspected Lung and Breast Cancer
A multinational observational study to evaluate the current pathology practices and the utilization of computational pathology plus artificial intelligence algorithms in patients with suspected lung and breast cancer.
- Trial name
- CASCADE (NCT06827132)
- Where
- 2 sites in Brazil, Kenya
- Volunteers
- 603 people
- Sponsor
- AstraZeneca
Scoliosis Patients
Artificial Intelligence and Scoliosis
The aim of the study to use artificial intelligence technology in assessment of scoliosis degree of severity and to personalize for treatment plan for each pa tient .
- Trial name
- NCT06589583
- Where
- Egypt
- Volunteers
- 5,000 people, healthy volunteers welcome
- Sponsor
- Delta University for Science and Technology
Pain, Acute Post-Operative, Ambulatory Surgical Procedures
Machine Learning-Based Prediction of Postoperative Pain After Pediatric Ambulatory Surgery
This study aims to predict pain after surgery in children of ages 1 to 3 years by using computer programming (machine learning). Participant children will be observed before, during, and after surgery.
- Conditions
- Pain, Acute Post-Operative, Ambulatory Surgical Procedures, Pediatric Pain, Pediatric Patient (1m-21y)
- Trial name
- NCT07274995
- Where
- Turkey (Türkiye)
- Volunteers
- 90 people
- Sponsor
- Başakşehir Çam & Sakura City Hospital
Volatile Organic Compounds, Radiography
Tuberculosis Screening in Paraguayan Prisons
Two diagnostic tools for TB screening in high risk groups need additional assessment: the AeoNose™, an 'electronic nose device' for breath sampling, and digital chest X-ray (CXR) with computer aided detection with CAD4TB®…
- Trial name
- Prinose (NCT04407325)
- Testing
- electronic nose device, dig chest Xray with automated readings
- Where
- 2 sites in Paraguay
- Volunteers
- 5,000 people, healthy volunteers welcome
- Sponsor
- Radboud University Medical Center
Malocclusion, Misaligned Teeth
Optimizing Orthodontic Appliances Efficiency With Remote Dental Monitoring and Artificial Intelligence Algorithms
The decision on aligner changing is based on orthodontists' personal experience and common knowledge that an approximated time span for the aligner have exhausted its biological efficacy.
- Trial name
- NCT05573308
- Testing
- Clear Aligners with Dental Monitoring, Clear Aligners
- Where
- 4 sites in United States
- Volunteers
- 12 people, healthy volunteers welcome
- Sponsor
- University of Illinois Chicago
Primary Care, Primary Care Patients With Chronic Conditions
Efficacy of Artificial Intelligence for Gatekeeping in Referrals to Specialized Care
In Rio Grande do Sul, Brazil, the demand for specialty care referrals has increased sharply with the adoption of the electronic regulatory system, especially in rural areas.
- Trial name
- NCT07019116
- Testing
- Standard gatekeeping, AI algorithm, Subsequent interactions between primary care and regulation system
- Where
- Brazil
- Volunteers
- 934 people
- Sponsor
- Hospital de Clinicas de Porto Alegre