Tag: machine learning
Go/No-Go—How Mental Health Research Took a Wrong Turn: An Interview with...
Marianne Apostolides discusses how Go/No-Go grew from her search for new eating-disorder treatments into a critique of the metaphors, experiments, and technologies shaping contemporary neuroscience and psychiatry. She argues that efforts to reduce distress to circuits, algorithms, and biomarkers often overlook subjectivity, agency, and the human relationships that meaningful care requires.
AI Undermines Medical Education—Trainee Doctors May Never Learn Vital Skills
Medical trainees using chatbots to do their homework and write their papers will not develop the skills needed to be a successful doctor.
New Algorithms Fail to Predict Antidepressant Treatment Outcomes
Researchers suggest that because most antidepressant “success” is due to the placebo effect, they may never find a way to predict outcomes.
Experts Raise Ethical Concerns About Machine Learning in Medicine
The use of machine learning algorithms (known as artificial intelligence) in the medical field raises a slew of ethical concerns.










