Clinical trials: Natural Languages Processing
Participants Must be Women Aged 25 Years or Older, Participants Should Have no Self-reported History of Heart Disease or Stroke
RCT of HeartBot in Women
The goal of this clinical trial is to find out whether an app-based program called HeartBot II, which uses an artificial intelligence (AI) chatbot, can help improve women's awareness and knowledge of heart attacks in women.
- Conditions
- Participants Must be Women Aged 25 Years or Older, Participants Should Have no Self-reported History of Heart Disease or Stroke, Participants Should Have no Terminal Illness or Diagnosed Cognitive Impairment, Including Alzheimer's Disease, Participants Should Not be a Healthcare Professionals or Healthcare Trainees
- Trial name
- HeartBot II (NCT07416734)
- Testing
- HeartBot II Program, Waitlist Control
- Where
- United States
- Volunteers
- 200 people, healthy volunteers welcome
- Sponsor
- University of California, San Francisco
Axial Spondyloarthritis, Psoriatic Arthritis
Secukinumab (Cosentyx®) Effectiveness in Axial Spondyloarthritis and Psoriatic Arthritis Patients Using Artificial Intelligence (SpAINET): Spanish Multicenter, Retrospective, Real World Evidence Study
This was a multicenter, retrospective, and non-interventional study using secondary data captured in the Electronic Health Records (EHRs).
- Trial name
- NCT05677542
- Testing
- secukinumab
- Where
- 3 sites in Spain
- Volunteers
- 758 people
- Sponsor
- Novartis Pharmaceuticals
Helicobacter Pylori Infection, Atrophic Gastritis
Artificial Intelligence for Determination of Gastroscopy Surveillance Intervals
The purpose of this study is to develop and validate a clinical decision support system based on automated algorithms. This system can use natural language processing to extract data from patients' endoscopic reports and…
- Conditions
- Helicobacter Pylori Infection, Atrophic Gastritis, Intestinal Metaplasia, Low Grade Intraepithelial Neoplasia
- Trial name
- NCT05631015
- Testing
- AI recongnize disease and generate recommendations
- Where
- China
- Volunteers
- 2,000 people
- Sponsor
- Xiuli Zuo
Substance Use, Substance Abuse
Data-driven Identification for Substance Misuse
The investigators propose to develop an open-source, publicly available machine learning model that health systems could download and apply to their electronic health record data marts to screen for substance misuse in their…
- Conditions
- Substance Use, Substance Abuse, Substance-Related Disorders
- Trial name
- NCT03833804
- Testing
- Processing of clinical notes in the EHR data collected during routine care
- Where
- United States
- Volunteers
- 64,996 people
- Sponsor
- University of Wisconsin, Madison
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.
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
Crohn Disease, Rectal Fistula
A Study Using Artificial Intelligence to Identify Adults With Complex Perianal Fistulas Associated With Crohn's Disease
Natural Language Processing and machine learning are examples of artificial intelligence tools. This study will check if these tools correctly identify people with Crohn's disease with complex perianal fistulas from their medical…
- Trial name
- INTUITION-CPF (NCT04844593)
- Where
- 3 sites in Spain
- Volunteers
- 32 people
- Sponsor
- Takeda
Prostate Cancer
Large Language Model-Assisted cTNM Annotation From Chinese PSMA PET/CT Reports
This observational study will develop and validate a large language model-assisted workflow for imaging cTNM staging annotation and uncertainty recognition in prostate cancer using Chinese PSMA PET/CT report texts generated…
- Trial name
- PSMA-LLM-cTNM (NCT07707232)
- Testing
- Large Language Model-Assisted Report Annotation
- Where
- China
- Volunteers
- 4,600 people
- Sponsor
- First Affiliated Hospital of Wenzhou Medical University
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
Substance Use Disorder (SUD), Addiction
NLP Analysis of Weekly Narratives for Dynamic Clinical Assessment in SUD
This prospective observational study follows adults undergoing residential rehabilitation for severe substance use disorders at a specialized treatment center in Mexico.
- Conditions
- Substance Use Disorder (SUD), Addiction, Anxiety, Emotional Dysregulation
- Trial name
- DYNA-NLP (NCT07595614)
- Testing
- Residential rehabilitation as usual
- Where
- Mexico
- Volunteers
- 35 people
- Sponsor
- Lauro Gutiérrez Castro
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
Radiography, Oral Health
Large Language Models for Dental Radiology Report Generation From Structured Textual Data
The purpose of this observational methodological study is to evaluate whether large language models can transform structured dental radiology data into clear narrative radiology reports.
- Conditions
- Radiography, Oral Health, Large Language Model, Natural Language Processing (NLP)
- Trial name
- DENT-LLM (NCT07676318)
- Testing
- Large language model-assisted radiology report generation
- Where
- Poland
- Volunteers
- 100 people
- Sponsor
- Hospital of the Ministry of Interior, Kielce, Poland
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.
Diabetes
SUPREME-DM (Diabetes Mellitis) Treatment Study
This multisite pragmatic clinical trial was designed to assess the effectiveness of a single scripted telephone call to diabetes patients who (a) were currently above recommended clinical goals for glucose, blood pressure, or…
- Trial name
- NCT02192255
- Testing
- Intervention Phone Call
- Where
- United States
- Volunteers
- 2,378 people
- Sponsor
- HealthPartners Institute
Lung Cancer, Gastrointestinal Cancer
ChatBot and Activity Monitoring in Patients Undergoing Chemoradiotherapy
Evaluate the feasibility of using a chatbot combined with continuous activity monitoring to proactively identify, appropriately triage and help manage patients' symptoms during cancer treatment Determine whether such an early…
- Conditions
- Lung Cancer, Gastrointestinal Cancer, Head and Neck Cancer
- Trial name
- NCT05318027
- Testing
- ChatBot
- Where
- United States
- Volunteers
- 70 people
- Sponsor
- Abramson Cancer Center at Penn Medicine
Surgical Site Infection
ChatGPT-4 for Surgical Site Infection Detection From Electronic Health Records After Colorectal Surgery.
Epidemiological surveillance is one of the eight core components of the World Health Organization Infection Prevention and Control Programmes. These include surveillance programmes for surgical site infection (SSI).
- Trial name
- Infect-IA-3 (NCT06626399)
- Testing
- Diagnosis of SSI
- Where
- Spain
- Volunteers
- 1,100 people
- Sponsor
- Hospital de Granollers
Headache Disorders, Tension-Type Headache
An Open Internet-based Survey and Natural Language Processing Project Analysing Written Monologues by Headache Patients
Headache disorders are among the most prevalent medical conditions worldwide. The diagnosis of headache disorders is based on medical history taking.
- Conditions
- Headache Disorders, Tension-Type Headache, Migraine Disorders, Cluster Headache
- Trial name
- NLPH-OPEN (NCT05153876)
- Testing
- Questionnaires
- Where
- Belgium
- Volunteers
- 1,150 people
- Sponsor
- University Hospital, Ghent
Schizophrenia Disorders, Psychosis
Magnetoencephalography in Psychosis Program
This research involves the examination of speech, thinking patterns and symptoms and recordings from brain's activity in patients with schizophrenia.
- Trial name
- MEGPSY (NCT06978881)
- Where
- Canada
- Volunteers
- 50 people, healthy volunteers welcome
- Sponsor
- Douglas Mental Health University Institute
Emergency Medicine
Development of a Natural Language Processing Tool to Enable Clinical Research in Emergency Medicine
The goal of this retrospective cohort study is to develop and validate a language model that can interpret the contents of emergency department electronic medical records and extract relevant information for research purposes in…
- Trial name
- NLP-DeVal (NCT06240572)
- Testing
- no intervention
- Where
- 8 sites in Italy
- Volunteers
- 300,000 people, healthy volunteers welcome
- Sponsor
- Mario Negri Institute for Pharmacological Research
Posttraumatic Stress Disorder, Complex Post-Traumatic Stress Disorder
Using Data Science To Center Patient Perspectives in Mechanism Discovery
Including patient perspectives when developing new therapy interventions is crucial because it can help to understand response heterogeneity and promote engagement.
- Trial name
- CPP (NCT06233968)
- Where
- United States
- Volunteers
- 33 people, healthy volunteers welcome
- Sponsor
- Cambridge Health Alliance