Comparing the Perspectives of Generative AI, Mental Health Experts, and the General Public on Schizophrenia Recovery: Case Vignette Study.
Zohar ElyosephLevkovich InbarPublished in: JMIR mental health (2024)
The finding that 3 out of the 4 LLMs aligned closely with the predictions of mental health professionals when considering the "with treatment" condition is a demonstration of the potential of this technology in providing professional clinical prognosis. The pessimistic assessment of ChatGPT-3.5 is a disturbing finding since it may reduce the motivation of patients to start or persist with treatment for schizophrenia. Overall, although LLMs hold promise in augmenting health care, their application necessitates rigorous validation and a harmonious blend with human expertise.
Keyphrases
- mental health
- healthcare
- bipolar disorder
- end stage renal disease
- chronic kidney disease
- ejection fraction
- newly diagnosed
- emergency department
- artificial intelligence
- combination therapy
- peritoneal dialysis
- social media
- big data
- risk assessment
- climate change
- replacement therapy
- deep learning
- health information
- drug induced