Of these, 268 (67%) were successfully followed up a year after the end of treatment. Methods A range of health outcomes were collected pretreatment and repeated at standard intervals post-treatment.
A study reveals that combining fitness tracker data with machine learning algorithms can effectively predict mood episodes in individuals with bipolar disorder.
AI decision-making systems show promise but lack consistent evidence for improving patient-relevant outcomes like mortality and quality of life. Rigorous harm-benefit assessments and transparency are ...