Latest AI and machine learning research in work force for healthcare professionals.
The International Forum of Internal Medicine (FIMI) presents a position paper that analyzes the current state and projects the future of Internal Medicine in a global context marked by population aging, multimorbidity, fragmentation of health systems, and rapid technological transformation. The document emerged from a collaborative process involving 52 scientific societies from 43 countries, with ...
Metabolic dysfunction-associated steatotic liver disease (MASLD) represents a leading global health burden, yet its diagnosis and staging rely heavily on invasive liver biopsies. Liquid biopsy, utilizing circulating cell-free DNA (cfDNA), offers a promising noninvasive alternative to capture hepatic genomic instability. This review consolidates current knowledge on cfDNA biomarkers in MASLD, movin...
Academic burnout is a prevalent concern with significant implications for adolescent development, whereas variable-centered approaches often provide l...
BACKGROUND: Depression is a pervasive global mental health issue, yet access to trained professionals remains severely limited. With the rapid advance...
OBJECTIVE: Surgical procedures involving varying tissue depths present challenges to surgeons regarding accessibility and precision, restricting instr...
Generative adversarial networks (GANs) are increasingly used to generate synthetic medical images, addressing the critical shortage of annotated data ...
BACKGROUND AND SIGNIFICANCE: Physician and advanced practice provider (APP) well-being is a critical focus in healthcare. Emerging technology such as ...
OBJECTIVE: This study aims to compare the effectiveness of 2 ambient AI scribe technologies in reducing physician burnout, improving workflow satisfac...
AIM: Planning for a hospital is a complex and dynamic process, traditionally not informed by evidence. A systems thinking approach can be useful in in...
BACKGROUND: Participatory approaches (including co-research, co-design, Patient and Public Involvement [PPI], and Participatory Action Research [PAR])...
Artificial intelligence (AI) scribes using ambient documentation technology that capture clinician-patient dialogue and auto-generate visit notes prom...
INTRODUCTION: Traditional simulation-based communication training remains resource-intensive and difficult to scale. While artificial intelligence (AI...
Antibody folding and aggregation are major challenges in the development of relevant reagents and therapeutics. Antibodies face a biophysical trade-of...
PURPOSE: The migration and fusion of osteoclast precursors (OCPs) are critical steps in osteoclastogenesis and require substantial energy. Although ox...
Carcinoma of the gallbladder (CAGB) carries a poor prognosis. While alterations in the bile microbiome and lipidome have been linked to CAGB developme...
BACKGROUNDS: Physicians are among the most vital healthcare resources. The equitable distribution of human resources could help policymakers to reach ...
Paediatric oncology relies heavily on medical imaging for diagnosis, treatment planning, and longitudinal disease monitoring. Yet the field faces uniq...
Machine learning interatomic potentials (MLIPs) balance high accuracy and lower costs compared to density functional theory calculations, but their pe...
BACKGROUND: Depression affects more than 300 million people worldwide and is a leading contributor to the global disease burden. Traditional diagnosti...
I argue that the current proliferation of generative artificial intelligence (AI) represents a new stage in a longer historical process of distancing ...