Machine Learning in Medicine In this view of the future of medicine, patient–provider
interactions are informed and supported by massive amounts of data from interactions with …

Tens (or hundreds) of thousands of Americans die each year as a result of preventable
medical errors. Changes in the practice and business of medicine have caused some to …

Objective To evaluate the prevalence of burnout and satisfaction with work-life integration
among physicians and other US workers in 2017 compared with 2011 and 2014 …

Objective The objective of this study was to evaluate the performance of the Professional
Fulfillment Index (PFI), a 16-item instrument to assess physicians' professional fulfillment …

To assess the impact of organization-directed workplace interventions on physician burnout,
including stress or job satisfaction in all settings, we conducted a systematic review of the …

Objective: To study prevalence of and factors that contribute to burnout, career satisfaction,
and well-being in US neurologists. Methods: A total of 4,127 US American Academy of …

The past decade has been a time of great change for US physicians. Many physicians feel
that the care delivery system has become a barrier to providing high-quality care rather than …

Artificial intelligence (AI) has been described as one of the extremely effective and promising
scientific tools available to mankind. AI and its associated innovations are becoming more …

Burnout is highly prevalent among physicians and has been associated with negative
outcomes for physicians, patients, staff, and health-care organizations. Reducing physician …

Organoids, miniature and simplified in vitro model systems that mimic the structure and
function of organs, have attracted considerable interest due to their promising applications in …