Clinical trials: Natural Languages Processing
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
Psychosis, Schizophrenia
CBTpro: Scaling up CBT for Psychosis Using Simulated Patients and Spoken Language Technologies
The primary objective of this grant is to develop and evaluate an Artificial Intelligence-based clinical training tool--CBTpro--to support high-quality skills training in CBT for psychosis (CBTp).
- Conditions
- Psychosis, Schizophrenia, Schizo Affective Disorder, Bipolar Disorder
- Trial name
- CBTpro (NCT05127837)
- Testing
- CBTpro
- Where
- 13 sites in United States
- Volunteers
- 601 people
- Sponsor
- University of Washington
Bibliotherapy
Guided Self-help for Common Mental Disorders
Common mental disorders (CMDs) like depression and anxiety account for a large proportion of disability worldwide. Access to effective treatments like cognitive-behavioral therapy (CBT) is limited and has not reduced the public…
- Trial name
- DWM (NCT04870099)
- Testing
- Doing What Matters in Times of Stress: An Illustrated Guide
- Where
- United States
- Volunteers
- 141 people, healthy volunteers welcome
- Sponsor
- Indiana University
Depression, Anxiety
Potency and Precision Investigation
The overarching goal of this study is to establish initial proof of mechanism for precision interventions in an adult population.
- Trial name
- PAPI (NCT06240091)
- Testing
- DISC-MA
- Where
- United States
- Volunteers
- 203 people
- Sponsor
- Woebot Health
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