Latest AI and machine learning research in surveillance for healthcare professionals.
INTRODUCTION: The rise in administrative burden on physicians is becoming increasingly recognised as a significant contributor to burnout and job dissatisfaction among primary care practitioners. Human scribes (HS) and digital/artificial intelligence scribes (DS) have emerged as potential tools to reduce clerical workload and improve physician well-being. There has been extensive research conducte...
Most artificial intelligence (AI) governance frameworks in healthcare address model development, reporting standards, or regulation in broad terms, but do not adequately translate these principles into the operational realities of internal medicine. Although multimorbidity, frailty, polypharmacy, diagnostic uncertainty, incomplete data, and transitions of care are not exclusive to internal medicin...
Radiology reports are the primary product of diagnostic radiology, yet the language in which they are written is rarely taught formally. The differenc...
UNLABELLED: The increasing prevalence of carbapenemase-producing Enterobacterales (CPE) requires reliable diagnostic tools. This study evaluated the p...
Water utilities are strained by climate variability, aging infrastructure, workforce changes, funding, and dependence on the electric grid. Although u...
Horizontal gene transfer (HGT) is widely recognized as a major driver of antimicrobial resistance (AMR) dissemination, with genomic islands (GIs) as o...
Rabies is an important but often neglected zoonotic disease with significant public health, veterinary, and economic impacts. Inadequate surveillance ...
INTRODUCTION: Routine electronic health records (HER)/administrative data could enable time- and cost-efficient, real-time surveillance and health-eco...
Community Health Needs Assessments (CHNAs), mandated by the Affordable Care Act for tax-exempt hospitals, represent an underutilized yet rich data sou...
Clinical monitoring in the most vulnerable patients, such as newborns, relies on invasive and costly procedures and/or wired sensor surveillance, incr...
BACKGROUND: Neurofilament light (NfL) has emerged as a sensitive biomarker of neuroaxonal damage across a wide spectrum of neurological conditions, in...
Roswell Park is a free-standing Comprehensive Cancer Center in Buffalo, New York and serves as the academic home to a doctoral program in Cancer Scien...
PURPOSE: Macular disease can cause significant visual morbidity. Timely and accurate diagnosis and management is paramount. However, there is a lack o...
BACKGROUND: This study aimed to systematically compare the predictive performance and methodological quality of logistic regression (LR) and machine l...
AIM: To evaluate the impact of an artificial intelligence medical scribe (AIMS) on clinical documentation efficiency, document quality, clinician-pati...
Leptospirosis is a significant zoonotic disease in India, with Gujarat and Karnataka recognised as enzootic states experiencing recurrent animal and h...
BACKGROUND: Nursing theory and conceptual models are central to nursing as a knowledge discipline, yet theory is often perceived as abstract and diffi...
Schwabe et al's pre-post time-motion study of a domain-specific artificial intelligence (AI) speech assistant used by nurses in German long-term care ...
BACKGROUND: Current data analysis and coordination methods do not effectively support nurses and midwives in risk reduction, as retrospective reportin...
Pancreatic cancer is characterized by high postoperative metastasis and recurrence rates, making the identification of early recurrence markers with h...