The Future of AI in Healthcare - Benefits, Risks, Doctors’ Attitudes, and Students’ Blind-spots

In this episode, hosts Dr. Tanner Schrank and Sophie Neale delve deep into the world of Artificial Intelligence in healthcare with AI expert, Dr. Anne-Kathrin Kleine. From exploring how clinicians view AI to discussing its impact on mental health, Dr. Kleine paints a vivid picture of the technology’s potential. She expertly navigates us through both benefits and risks, providing invaluable insight for any medical student or health professional keen on the future of medicine. You won’t want to miss her insightful advice on embracing this technological frontier. Tune in for a glimpse into the future of healthcare.

AI-ENABLED MEDICAL DEVICES • Progress • Potential • Challenges

An input talk and discussion about the progress, potential, and challenges regarding the development and implementation of AI-enabled medical devices into clinical practice.

A Glimpse Into the Future – How AI-Enabled Precision Psychiatry Tools Advance Mental Healthcare

Presenting insight on the potential and current challenges of AI-enabled precision psychiatry at the Bayreuth Philosophy and Computer Science Summer School.

Attitudes Toward the Adoption of 2 Artificial Intelligence–Enabled Mental Health Tools Among Prospective Psychotherapists: Cross-sectional Study

We conducted a study on the predictors of using AI-enabled mental health tools among psychology students and early practitioners.

Predictors of the intention to use AI-enabled clinical decision support systems among healthcare practitioners.

Presentation of meta-analytic findings regarding the predictors of the intention to use AI-enabled clinical decision support systems among healthcare practitioners.

Advancing Mental Health Care with AI-Enabled Precision Psychiatry Tools: A Patent Review

We wrote a review on AI-enabled precision psychiatry patents published between 2015 and mid-October 2022. Multiple analytic approaches, such as graphic network analysis and topic modeling, are used to analyze the scope, content, and trends of the retained patents. The tools described aim to provide diagnosis, prediction of treatment responses, and prognosis of mental disorder symptoms. Additionally, about one-third of the tools suggest treatment options related to selection, adjustment, and management. The complexity of technology combinations has increased over the years. This review highlights the potential of AI-enabled precision psychiatry tools for adoption in practice.