Clinical trials: Natural Languages Processing
Fabry Disease
Early Detection of Fabry Disease
The main aim of this study is early detection of FD using real-world data for the development of advanced natural language processing methods and to develop a predictive algorithm and to measure the performance of the algorithm…
- Trial name
- NCT05106764
- Testing
- No intervention
- Where
- 3 sites in Germany
- Volunteers
- 50 people
- Sponsor
- Takeda
Diabetes
Natural Language Processing and Quality Assessment in Primary Care
The investigators propose to use a Natural Language Processing System (NLP) to provide an initial baseline report for primary care patients at risk for diabetes and cardiovascular complications that will include: a) evidence of…
- Trial name
- NCT01023243
- Testing
- Brochure: Care of the Feet for Those at Risk, Quality Survey: foot exam, tobacco and aspirin use
- Where
- United States
- Volunteers
- 389 people, healthy volunteers welcome
- Sponsor
- Mayo Clinic
Preoperative Care
ChatGPT v.s. Human in Writing a Preoperative Visit Sheet
The goal of this study is to evaluate the performance of large language models i.e. ChatGPT, in making preoperative visit sheets using clinical records.
- Trial name
- NCT05945004
- Testing
- ChatGPT-4, Clinician
- Volunteers
- 120 people
- Sponsor
- Boston Intelligent Medical Research Center, Shenzhen United Scheme Technology Co., Ltd.
Eye Diseases
Multimodal Machine Learning for Auxiliary Diagnosis of Eye Diseases
With rapid advancements in natural language processing and image processing, there is a growing potential for intelligent diagnosis utilizing chatGPT trained through high-quality ophthalmic consultation.
- Trial name
- NCT05930444
- Testing
- Multimodal Machine Learning Program for Auxiliary Diagnosis of Eye Diseases
- Where
- 3 sites in China
- Volunteers
- 9,825 people, healthy volunteers welcome
- Sponsor
- Eye & ENT Hospital of Fudan University
Dental Anxiety in Children
AI-Assisted Evaluation of Dental Anxiety in Children: A Machine Learning Approach
This observational study evaluated whether children's dental anxiety could be identified from their speech using artificial intelligence and machine learning methods.
- Trial name
- NCT07797777
- Testing
- Multimodal Speech-Based Dental Anxiety Assessment
- Where
- Turkey (Türkiye)
- Volunteers
- 262 people, healthy volunteers welcome
- Sponsor
- Marmara University
Malignancy, Immune Related Adverse Events
Evaluating Informatics-assisted Immune-related Adverse Event Detection to Improve Registration Onto a Biorepository
Immunotherapies have improved cancer outcomes, but have a unique profile of immune-related adverse events (irAEs). Biorepositories have been established to collect data and samples to help improve our understanding of irAEs…
- Trial name
- NCT06789601
- Testing
- Informatics system for eligibility monitoring, Standard eligibility monitoring
- Where
- 2 sites in United States
- Volunteers
- 100 people
- Sponsor
- Brigham and Women's Hospital
Asthma
Developing and Implementing Asthma-Guidance and Prediction System (a-GPS) for Better Asthma Management
Asthma is the most common chronic condition in children and one of the five most burdensome diseases in the United States. Despite this, research and care for childhood asthma are limited by inefficient utilization of electronic…
- Trial name
- NCT02865967
- Testing
- Usual care + a-GPS, Usual care
- Where
- United States
- Volunteers
- 185 people
- Sponsor
- Mayo Clinic
Psychosis
Predicting Psychotic Relapse Using Speech-Based Early Detection
Psychotic disorders, including schizophrenia and affective psychosis, are severe mental health conditions marked by recurrent episodes that contribute to long-term disability.
- Trial name
- MOTS+ (NCT06978894)
- Where
- 3 sites in Canada
- Volunteers
- 250 people
- Sponsor
- Douglas Mental Health University Institute
Autism Spectrum Disorder, Depression - Major Depressive Disorder
Mental Health, Intellectual and Neurodevelopmental Disorder Detection With Artificial Intelligence Models
This study investigates whether AI-driven analysis of speech can accurately predict clinical diagnoses and assess risk for various mental or behavioral health conditions, including attention-deficit/hyperactivity disorder (ADHD)…
- Conditions
- Autism Spectrum Disorder, Depression - Major Depressive Disorder, Anxiety, Generalized, Bipolar Disorder (BD)
- Trial name
- MINDAIM (NCT06792175)
- Testing
- Solicue Machine Learning Models, Mercuria Machine Learning Models
- Where
- 2 sites in United States
- Volunteers
- 500 people
- Sponsor
- Psyrin Inc.
Schizophrenia Spectrum and Other Psychotic Disorders, Bipolar and Related Disorders
Ascertaining Diagnosis Classification With Elicited Speech
Cross-sectional observational study of the relationship between speech patterns and psychiatric symptoms and disorders.
- Conditions
- Schizophrenia Spectrum and Other Psychotic Disorders, Bipolar and Related Disorders, Depressive Disorder, Anxiety Disorders
- Trial name
- ACES (NCT05601063)
- Testing
- Winterlight Speech Assessment
- Where
- United States
- Volunteers
- 255 people, healthy volunteers welcome
- Sponsor
- Northwell Health
Opiod Use Disorder
Chicago Data-driven Opioid Use Disorder Screening, Engagement, Treatment and Planning System
This study, called the Chicago Data-driven Opioid use disorder Screening, Engagement, Treatment and Planning (C-DOSETaP) System, tests a new system of clinical care for patients with opioid use disorder (OUD) across a large…
- Trial name
- C-DOSETaP (NCT07498322)
- Testing
- OUD screening, MOUD, Continuity of care
- Where
- United States
- Volunteers
- 271,031 people, healthy volunteers welcome
- Sponsor
- University of Illinois at Chicago
COVID-19 Infection
Clinical Characteristics and Prognostic Factors of Patients With COVID-19 (Coronavirus Disease 2019)
This is a multicenter, non-interventional, retrospective study using data captured in the EHRs (Electronic Health Records) of the participating hospital sites to determine factors that predict disease prognosis and outcomes in…
- Trial name
- NCT04569851
- Where
- 2 sites in Spain
- Volunteers
- 100,000 people
- Sponsor
- Savana Research
Neonatal Death, Perinatal Death
Leveraging Interactive Text Messaging to Monitor and Support Maternal Health in Kenya
Mobile health (mHealth) interventions such as interactive short message service (SMS) text messaging with healthcare workers (HCWs) have been proposed as efficient, accessible additions to traditional health care in…
- Conditions
- Neonatal Death, Perinatal Death, Depression
- Trial name
- AI-NEO (NCT05369806)
- Testing
- Interactive two-way SMS dialogue
- Where
- 2 sites in Kenya
- Volunteers
- 80 people, healthy volunteers welcome
- Sponsor
- University of Washington
Allergic Reaction
Analysis of Adverse Events in Anesthesia Using Artificial Intelligence
The interest of health databases in anesthesia is no longer to be demonstrated. The aim of this research was to develop a natural language processing approach to establish a classification of adverse events observed during the…
- Trial name
- ADVENTURE (NCT05185479)
- Where
- France
- Volunteers
- 9,559 people
- Sponsor
- University Hospital, Strasbourg, France