Machine Learning and AI for improving Mental Health Care Delivery

Michael Eriksen Benros, Prof. Institut for Klinisk Medicin, Rigshospitalet

Our Precision Psychiatry work includes utilization of machine learning and AI for enhancing the precision of mental health care and for improving prevention, diagnoses and health care delivery in psychiatry.

The most promising decision support tools will be tested in clinical trials paving the way for implementation to improve the current treatments in psychiatry. Clinical testing includes deployment of the most clinically relevant decision support models directly into our EPIC-based Danish Electronic Health Record system, facilitating the clinical utility of the developed models.

As part of our Clinical Test Center for AI and data-driven treatments in psychiatry, we will furthermore investigate the needs and potential barriers among clinicians and patients to facilitate implementation and willingness to utilize decision support tools for assisting in optimizing our mental health care delivery.

This is from the conference  "Artificial Intelligence in Healthcare". 
Join the discussion about the future of healthcare at our conference, where AI's power to transform patient care through swift, accurate data processing and task automation takes center stage.