Clinical trials: Artificial Intelligence Algorithms
Colo-rectal Cancer
The AIDPRO-CRC Trial
The AIDPRO-CRC trial aims to improve outcomes for patients undergoing surgery for colorectal cancer by using artificial intelligence (AI) to assist surgeons in risk assessment.
- Trial name
- AIDPRO-CRC (NCT06645015)
- Testing
- AI augmented risk-stratification, Expert-based Risk-stratification
- Where
- 8 sites in Denmark
- Volunteers
- 1,200 people
- Sponsor
- Zealand University Hospital
Growth; Stunting, Nutritional
Assessing a Length Artificial Intelligence Algorithm to Estimate Length of Children
An exploratory study to explore the possibility of using computer vision algorithms to estimate a child's length using images taken by a healthcare professional or parents.
- Trial name
- GAIN (NCT05079776)
- Testing
- Physical length measurement
- Where
- Singapore
- Volunteers
- 200 people, healthy volunteers welcome
- Sponsor
- Danone Asia Pacific Holdings Pte, Ltd.
Postoperative Delirium (POD)
Validation of a Risk Assessment Model for Postoperative Delirium Based on Artificial Intelligence
Postoperative delirium (POD) is a frequent postoperative complication in the elderly, characterised by fluctuating disturbances in attention, awareness, and cognition.
- Trial name
- NCT05639348
- Testing
- Data collection on POD for calculation of the PIPRA score
- Where
- 3 sites in Switzerland
- Volunteers
- 993 people
- Sponsor
- University Hospital, Basel, Switzerland
Iron Deficiency
A Study to Collect Data to Build Artificial Intelligence Derived Algorithms for Estimating Iron Status of Children
An exploratory study to collect data to build artificial intelligence derived algorithms for estimating iron status in children
- Trial name
- FERROUS 2 (NCT06577727)
- Testing
- Gold standard blood test, Imaging and videography of anatomical sites
- Where
- 2 sites in Singapore, Thailand
- Volunteers
- 250 people, healthy volunteers welcome
- Sponsor
- Danone Asia Pacific Holdings Pte, Ltd.
Spinal Cord Compression
Validation of AI Lumbar Spine Anatomy Measureing Function
Spinal degeneration and its associated clinical diseases are common ailments in aging societies. With the advent of a super-aging society, the importance of assistive technologies for spinal image interpretation is increasingly…
- Trial name
- Spinal cord (NCT06950411)
- Where
- Taiwan
- Volunteers
- 150 people, healthy volunteers welcome
- Sponsor
- RadiRad Co., Ltd.
Artificial Intelligence (AI)
Effectiveness of Artificial Intelligence Algorithms
Introduction Throughout human history, surgical interventions have been frequently used in human treatment. However, despite their therapeutic properties, the pain experienced by patients, especially in the acute postoperative…
- Trial name
- NCT06770985
- Testing
- Artificial Intelligence
- Where
- Turkey (Türkiye)
- Volunteers
- 601 people
- Sponsor
- Ankara Ataturk Sanatorium Training and Research Hospital
Development of the Virtual Biopsy, Tumor Grade
Virtual Biopsy Development to Identify Patient's Glioma Grade at the CHU of Poitiers Using Magnetic Resonance Imaging
Glioma is a tumor of the central nervous system. These lesions are sorted with the WHO ranking regarding the tumoral oncotype. The tumoral MRI assessment is the first step before any medical decision.
- Conditions
- Development of the Virtual Biopsy, Tumor Grade, Artificial Intelligence Algorithms, Clinical
- Trial name
- MR3TGLIOBIOPSY (NCT04313140)
- Testing
- Diagnostic test
- Where
- France
- Volunteers
- 500 people
- Sponsor
- Poitiers University Hospital
Cardiac Disease
Validation of an Artificial Intelligence Algorithm Identifying Echocardiographic Reference Views. Ultrasound - Cardiac Acquisition Guide
Echocardiography is the examination of choice for the study of cardiac pathologies. Beyond its use by cardiologists, the interest of echocardiography for other medical specialties has already been demonstrated, in particular in…
- Trial name
- U-CAG (NCT05265585)
- Testing
- Ultrasound - Cardiac Acquisition
- Where
- France
- Volunteers
- 75 people
- Sponsor
- University Hospital, Bordeaux
Abdominal Aortic Aneurysms (AAA)
Use of Artificial Intelligence to Predict Complications Following Abdominal Aortic Surgery
Abdominal aortic aneurysm, a condition characterised by an increase in the diameter of the aorta, can be treated either surgically or endovascularly.
- Trial name
- AORTAPREDICT (NCT06884397)
- Testing
- Abdominal aortic endoprosthesis
- Where
- France
- Volunteers
- 300 people
- Sponsor
- Groupe Hospitalier de la Rochelle Ré Aunis
Malignant Skin Melanoma T0, Basal Cell Carcinoma
DERM US and EU Validation Study
This study aims establish the effectiveness of Image Analysing Algorithm (DERM) to identify melanoma, Squamous Cell Carcinoma (SCC) and Basal Cell Carcinoma (BCC) when used to analyse dermoscopic images of skin lesions within the…
- Conditions
- Malignant Skin Melanoma T0, Basal Cell Carcinoma, Squamous Cell Carcinoma
- Trial name
- NCT05126173
- Testing
- Deep Ensemble for the Recognition of Malignancy (DERM)
- Where
- 16 sites in United States, Italy
- Volunteers
- 1,111 people
- Sponsor
- Skin Analytics Limited
COVID-19, COVID
COVID-19 Infection and Machine Learning Using Artificial Intelligence (AI)
COVID-19 infection is currently confirmed by a complex, multiple-step procedure starting with a mucosal swab, followed by viral RNA extraction and processing and qPCR.
- Conditions
- COVID-19, COVID, SARS-CoV 2
- Trial name
- NCT04756518
- Where
- United Kingdom
- Volunteers
- 215 people
- Sponsor
- East Suffolk and North Essex NHS Foundation Trust
Deep Learning
A New Deep-learning Based Artificial Intelligence Iterative Reconstruction (AIIR) Algorithm in Low-dose Liver CT
CT-enhanced scans are routine imaging modality for the diagnosis and follow-up of liver disease. However, this means that patients will receive more radiation dose.
- Trial name
- NCT05550012
- Testing
- low-dose CT
- Where
- China
- Volunteers
- 100 people
- Sponsor
- Qianfoshan Hospital
Prediabetic State, Body Weight
Development of PI-ML Algorithm for Prediction of the Real-time Risk for Developing Pre-diabetes
In this prospective, non-randomized, monocentric study, data will be collected from otherwise healthy individuals with overweight/obese grade I to increase data availability in the pre-diabetes field (impaired glucose…
- Conditions
- Prediabetic State, Body Weight, Overweight or Obesity, Life Style, Healthy
- Trial name
- PRAESIIDIUM (NCT06195566)
- Where
- Latvia
- Volunteers
- 77 people, healthy volunteers welcome
- Sponsor
- Jelizaveta Sokolovska
Parkinson's Syndrome
PET/MRI Artificial Intelligence Reconstruction Algorithm AIR Recon DL Image Quality Evaluation and Clinical Study
PET/MRI artificial intelligence reconstruction algorithm AIR Recon DL image quality evaluation and clinical study
- Trial name
- NCT06856096
- Testing
- PET/MRI
- Where
- China
- Volunteers
- 65 people
- Sponsor
- Xijing Hospital
Cervical Cancer, HPV Infection
Pocket Colposcopy Using CARE Algorithm
The Pocket colposcope has 510k FDA clearance and has been successfully used in ~2500 unique patients globally in Duke and non-Duke protocols to date.
- Trial name
- NCT06458062
- Testing
- Pocket Colposcope
- Where
- Kenya
- Volunteers
- 1,079 people
- Sponsor
- Duke University
Adnexal Masses
Machine Learning Algorithms Incorporating Radiomic Ultrasound Features
Adnexal masses represent a frequent clinical finding and their preoperative characterization remains challenging. Accurate discrimination between benign and malignant adnexal masses is essential to optimize patient management…
- Trial name
- R-IOTA (NCT07793201)
- Where
- Italy
- Volunteers
- 12,000 people
- Sponsor
- Fondazione Policlinico Universitario Agostino Gemelli IRCCS
Basal Cell Cancer
AI in Histipathological Diagnosis of Bcc
The goal of this study is to evaluate the diagnostic performance of an Artificial Intelligence (AI) algorithm in the histopathological diagnosis of bcc compared to certified dermatopathologists
- Trial name
- AI\bcc (NCT07786376)
- Where
- Egypt
- Volunteers
- 50 people, healthy volunteers welcome
- Sponsor
- Al-Azhar University
Non Alcoholic Fatty Liver Disease
Impact of Artificial Intelligence Algorithm-driven Versus Standard Lifestyle Intervention in Non-Alcoholic Fatty Liver Disease - A Multicenter, Randomized, Open-label, Controlled Trial
Now considered as a major public health challenge, non-alcoholic fatty liver disease (NAFLD) is rapidly rising as a major cause of end-stage liver disease.
- Trial name
- S@VE-LIVER (NCT07497750)
- Testing
- Fibroscan CAP/VTE, Randomization, MRI-PDFF
- Where
- 9 sites in France
- Volunteers
- 216 people
- Sponsor
- University Hospital, Toulouse
Cataract, Artificial Intelligence (AI)
Research Based on IOLMaster700 Cataract Diagnosis and Classification System
Cataract is a major cause of blindness due to eye diseases. Methods for evaluating the degree of lens opacification in cataracts are divided into subjective and objective methods.
- Trial name
- NCT07022444
- Testing
- IOL-MASTER 700
- Volunteers
- 2,000 people
- Sponsor
- Shanghai 10th People's Hospital
Melanoma, Melanoma, Skin
AI-based Medical Device Validation for Early Melanoma Detection
The goal of this observational study is to learn if a computer-aided diagnosis (CAD) system can help identify skin cancer (cutaneous melanoma).
- Trial name
- LEGIT_MC_EVCDA (NCT06221397)
- Testing
- AI-based Computer-Aided Diagnosis (CAD) Software for Skin Lesion Analysis.
- Where
- Spain
- Volunteers
- 105 people
- Sponsor
- AI Labs Group S.L