Clinical trials: Artificial Intelligence
- Condition Artificial Intelligence
- Funder type Industry (pharma, biotech, devices)
- Accepts healthy volunteers yes
Anxiety Disorders, Major Depressive Disorder
Acquisition and Analysis of Relationships Between Longitudinal Emotional Signals Produced by an Artificial Intelligence Algorithm and Self-questionnaires Used in the Psychiatric Follow-up of Patients With Mood and/or Anxiety Disorders: a Real-Environment Study.
The worldwide prevalence of anxiety and depression increased massively during the pandemic, with a 25% rise in the number of patients suffering from psychological distress.
- Trial name
- EMOACQ-1 (NCT05988840)
- Testing
- Acquisition and analysis of relationships between Longitudinal Emotional Signals produced by a software and Self-questionnaires.
- Volunteers
- 50 people, healthy volunteers welcome
- Sponsor
- Emobot
Obstructive Sleep Apnea
TipTraQ Home Sleep Test Validation Study, VGH
A validation study has been designed to assess the performance of a home sleep test device, TipTraQ, for screening sleep apnea. The study involves participants wearing the TipTraQ device on their fingertip during a traditional…
- Trial name
- NCT06474390
- Where
- Taiwan
- Volunteers
- 125 people, healthy volunteers welcome
- Sponsor
- PranaQ Pte. Ltd.
Soil Transmitted Helminths, Schistosomiasis Mansoni
Evaluation of an AI-DP for STH Deworming Programs: a Study Protocol
The goal of this observational study is to test a new AI diagnostic tool for detection, specification and quantification of parasitic infections (Ascaris, Trichuris, hookworm and S.
- Trial name
- KAKADU (NCT06055530)
- Testing
- Artificial Intelligence Digital Pathology
- Volunteers
- 1,100 people, healthy volunteers welcome
- Sponsor
- Enaiblers AB
Breast Cancer, Early Detection of Cancer
A Prospective Study to Evaluate Clinical Performance of Thermalytix in Detecting Breast Cancers
The purpose of this study is to determine the clinical performance of AI-based Thermalytix with the current standard-of-care diagnostic modalities in women.
- Trial name
- NCT04688086
- Testing
- Thermalytix
- Where
- India
- Volunteers
- 687 people, healthy volunteers welcome
- Sponsor
- Niramai Health Analytix Private Limited
Hearing Disorders and Deafness
Cognitive Processing of Natural Sequences in Humans and Artificial Intelligence (AI)
The goal of this study is to identify electrical patterns in the cortex that enable the generation of predictions in natural auditory sequences such as speech and music.
- Trial name
- SEQUOIA (NCT07740070)
- Volunteers
- 700 people, healthy volunteers welcome
- Sponsor
- Institut Pasteur
Depression - Major Depressive Disorder, Anxiety
Singula Phase 0.1 Primary Care Pilot
This prospective, single-arm, observational pilot study evaluates a clinical decision support system developed by Singula Health for use in primary care.
- Trial name
- NCT07834684
- Where
- 2 sites in United States
- Volunteers
- 100 people, healthy volunteers welcome
- Sponsor
- Singula Health, Inc.
Anxiety, Depression in Adolescence
Co-designing Adaptations of a Digital Mental Health Intervention (Wysa) for Adolescent Girls With Anxiety or Depression in Rural India
The goal of this study is to culturally and contextually adapt Wysa, an evidence-based AI-powered digital mental health intervention (DMHI), for adolescent girls (ages 13-18) with symptoms of anxiety and/or depression in rural…
- Conditions
- Anxiety, Depression in Adolescence, Anxiety Disorder of Adolescence
- Trial name
- NCT07595029
- Testing
- Digital psychosocial tool
- Volunteers
- 179 people, healthy volunteers welcome
- Sponsor
- Wysa
Fertility Disorders
Data Collection and Professional Simulated Use Study to Develop an Embryo Quality Artificial Intelligence (AI) Model
This protocol supports the reliable development and improvement of Artificial Intelligence (AI)-based applications by enabling training, verification, and validation using high-quality real clinical data.
- Trial name
- NCT07017972
- Testing
- AI evaluation of embryos
- Where
- United States
- Volunteers
- 4,000 people, healthy volunteers welcome
- Sponsor
- Fairtility
Pregnancy
Clinical Data Collection for Obstetric Ultrasound Algorithms
The goal of this clinical trial is to Collect ultrasound data from pregnant and non-pregnant individuals presenting to multiple study sites.
- Trial name
- MOBUS (NCT06742229)
- Testing
- Research Ultrasound scan
- Where
- 3 sites in United States
- Volunteers
- 700 people, healthy volunteers welcome
- Sponsor
- Caption Health, Inc.
Diabetic Retinopathy
Multicenter Diagnostic Clinical Performance Study For Automated Detection of Diabetic Retinopathy
This study is a retrospective study to assess the efficacy and accuracy of the EyeCheckup software in screening for diabetic retinopathy in healthcare settings.
- Trial name
- NCT05471986
- Testing
- Color Fundus Photography/Non-Mydriatic Opthalmic Cameras
- Volunteers
- 900 people, healthy volunteers welcome
- Sponsor
- Ural Telekomunikasyon Sanayi Ticaret Anonim Sirketi
Aging, Mortality
Longevity Metrics AI/ML Development Study
This study builds AI models that score diagnostic screening tests, and that predict screening results, clinical judgment, and life expectancy.
- Conditions
- Aging, Mortality, Cardiovascular Disease Prevention, Metabolic Syndrome
- Trial name
- NCT07808619
- Testing
- AIML scored health screening battery
- Where
- United States
- Volunteers
- 1,000,000 people, healthy volunteers welcome
- Sponsor
- Longevity Metrics, Inc.
Antenatal Care, Maternal Health
AI Blind-Sweep Ultrasound for Antenatal Screening by Non-Specialist Health Workers in Rural DR Congo
FS2 evaluates the diagnostic accuracy and implementation feasibility of an AI-assisted blind-sweep obstetric ultrasound (SPAQ E-con AI), operated by trained non-specialist health workers, for antenatal screening in rural…
- Conditions
- Antenatal Care, Maternal Health, Gestational Age, Placenta Praevia
- Trial name
- FS2 (NCT07677670)
- Testing
- SPAQ E-con AI blind-sweep ultrasound
- Where
- Democratic Republic of the Congo
- Volunteers
- 3,000 people, healthy volunteers welcome
- Sponsor
- SOIK Corporation Sarl
Alzheimer Disease, Preclinical Alzheimer's Disease
Amyloid Prediction in Early Stage Alzheimer's Disease From Acoustic and Linguistic Patterns of Speech - PAST Extension
The primary objective of the study is to evaluate whether a set of algorithms analysing acoustic and linguistic patterns of speech can detect amyloid-specific cognitive impairment in early stage Alzheimer's disease, based on…
- Conditions
- Alzheimer Disease, Preclinical Alzheimer's Disease, Prodromal Alzheimer's Disease, Alzheimer's Disease (Incl Subtypes)
- Trial name
- AMYPRED-PAST (NCT04851496)
- Where
- 4 sites in United Kingdom
- Volunteers
- 80 people, healthy volunteers welcome
- Sponsor
- Novoic Limited
Skin Cancer Melanoma
AI-Driven Early Detection of Skin Cancer
This study evaluates the feasibility and accuracy of an AI-powered mobile platform (NuvanaDx) for early detection of skin cancer, including melanoma, using smartphone-based imaging.
- Trial name
- Skin Cancer (NCT07144306)
- Testing
- Smartphone-based AI skin lesion analysis (NuvanaDx platform).
- Where
- United Kingdom
- Volunteers
- 100 people, healthy volunteers welcome
- Sponsor
- Nuvana Healthcare LTD
Ultrasound Imaging of Anatomical Structures
A Study to Evaluate the Performance and Potential Benefits of an Assistive Artificial Intelligence Device ScanNav Anatomy Peripheral Nerve Block - US V1.0 for Ultrasound-guided Regional Anesthesia
This is a single-center, prospective study to be undertaken at University of Oregon, Portland, USA. The aim is to provide data on the clinical performance of ScanNav Anatomy PNB for identification of anatomical structures during…
- Trial name
- NCT04918693
- Testing
- Ultrasound scanning
- Where
- United States
- Volunteers
- 34 people, healthy volunteers welcome
- Sponsor
- IntelligentUltrasound Limited
Small for Gestational Age Infant, Fetal Growth Restriction
Developing and Testing AI Models for Fetal Biometry and Amniotic Volume Assessment in Fetal Ultrasound Scans.
Routine fetal ultrasound scan during the second trimester of the pregnancy is a low-cost, noninvasive screening modality that has been proven to lower fetal mortality by up to 20%.
- Conditions
- Small for Gestational Age Infant, Fetal Growth Restriction, Oligohydramnios, Polyhydramnios
- Trial name
- NCT05059093
- Testing
- Classification and segmentation deep learning models
- Where
- 6 sites in Morocco
- Volunteers
- 122 people, healthy volunteers welcome
- Sponsor
- Deepecho
Sedentary Lifestyle
Evaluating PEARL - a Personalized Exercise Assistant Using Reinforcement Learning (Walkmate Study)
To evaluate the impact of two personalized nudging strategies delivered as pop-up notifications via the Fitbit app on user step count.
- Trial name
- NCT07783724
- Testing
- Mobile App Push Notification (Random Selection), Mobile App Push Notification (Behavior Science Heuristics), Mobile App Push Notification (RL)
- Where
- United States
- Volunteers
- 13,463 people, healthy volunteers welcome
- Sponsor
- Fitbit LLC
Sepsis
A Clinical Trial to Evaluate the Efficacy of the Morley Medical Sepsis (MMS) Software Device in Predicting Sepsis in Adult Patients Using Artificial Intelligence (AI) Machine Learning Algorithms
This is a pivotal medical device clinical trial evaluating the clinical outcomes in hospitalized patients monitored with the Morley Medical Sepsis Software Device.
- Trial name
- NCT04606862
- Testing
- Morley Medical Sepsis Software Device
- Volunteers
- 10,000 people, healthy volunteers welcome
- Sponsor
- Morley Medical
Congenital Anomalies, Neonatal Complications
AI-Powered Neonatal Risk Assessment for Improved Perinatal Outcomes
This study aims to develop advanced artificial intelligence (AI) models that predict neonatal risks and complications based on historical multimodal health data, including ultrasound and MRI scans.
- Conditions
- Congenital Anomalies, Neonatal Complications, Perinatal Outcomes, Perinatal Outcomes of the Mother and Fetus
- Trial name
- NCT07064356
- Volunteers
- 50,000 people, healthy volunteers welcome
- Sponsor
- FetalFirst Limited
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