Perceived Impact of Affect Labeling and Social Sharing in Healthcare: Insights from a Pilot Study and Opportunities for Future Investigation

AAIM Recommendations to Promote Equity in the Clerkship Clinical Learning Environment

First, Do No Harm: Less Training ≠ Quality Care

How video games saved me during the pandemic: A gamer's guide to psychological safety

Advancing leadership in medical radiation sciences: Incorporating systematic leadership education in pre-registration curricula

Core competencies in osteopathy: Italian register of osteopaths proposal

Uncovering the Devaluation of Nursing Home Staff During COVID-19: Are We Fuelling the Next Health Care Crisis?

Ocular hazards of blue-light therapy in dermatology

Anesthesiologists Recovering From Chemical Dependency: Can They Safely Return to the Operating Room?

Perioperative Acute Kidney Injury

World Kidney Day 2013: Acute Kidney Injury—Global Health Alert

Artificial intelligence (AI) promises to change health care, with some studies showing proof of concept of a provider-level performance in various medical specialties. However, there are many barriers to implementing AI, including patient acceptance and understanding of AI. Patients' attitudes toward AI are not well understood. We systematically reviewed the literature on patient and general public attitudes toward clinical AI (either hypothetical or realised), including quantitative, qualitative, and mixed methods original research articles. We searched biomedical and computational databases from Jan 1, 2000, to Sept 28, 2020, and screened 2590 articles, 23 of which met our inclusion criteria. Studies were heterogeneous regarding the study population, study design, and the field and type of AI under study. Six (26%) studies assessed currently available or soon-to-be available AI tools, whereas 17 (74%) assessed hypothetical or broadly defined AI. The quality of the methods of these studies was mixed, with a frequent issue of selection bias. Overall, patients and the general public conveyed positive attitudes toward AI but had many reservations and preferred human supervision. We summarise our findings in six themes: AI concept, AI acceptability, AI relationship with humans, AI development and implementation, AI strengths and benefits, and AI weaknesses and risks. We suggest guidance for future studies, with the goal of supporting the safe, equitable, and patient-centred implementation of clinical AI.

Confidential health care for adolescents: position paper of the Society for Adolescent Medicine

Oral Symptom Intensity, Health-Related Quality of Life, and Correlative Salivary Cytokines in Adult Survivors of Hematopoietic Stem Cell Transplantation with Oral Chronic Graft-versus-Host Disease

Confidential health care for adolescents: position paper of the Society for Adolescent Medicine

COVID-19 Effects on Medical Education: A Viral Transfer of Knowledge to Radiation Oncology