Latest AI and machine learning research in hospital-based medicine for healthcare professionals.
PURPOSE: Early identification of anastomotic leakage (AL) is critical for safe discharge within enha...
INTRODUCTION: The automation of hazardous drug preparation in hospitals using robotic systems is an ...
OBJECTIVE: To develop and validate a machine learning model identifying typhoid fever patients at ri...
Bloodstain Pattern Analysis (BPA) is transitioning from an experiential, expert-dependent craft to a...
BACKGROUND: Conversational voice AI assistants can automate postoperative follow-up calls in high-vo...
OBJECTIVE: This study constructed a predictive model for interstitial lung disease (ILD) in patients...
Evaluating clinical reasoning in large language models (LLMs) poses two open challenges: reference-o...
Diagnostic error, defined as missed, wrong, or delayed diagnoses or those not communicated to patien...
Healthcare insurance fraud causes substantial financial losses, operational inefficiencies, and redu...
INTRODUCTION: Post COVID-19 condition (PCC) denotes the persistence of symptoms following Severe Acu...
INTRODUCTION: On average, women now spend more than one-third of their lives in the post-reproductiv...
BACKGROUND: Video-algorithmic patient monitoring (VAPM) combines remote, noncontact sensors and algo...
OBJECTIVE: Clinical documentation consumes substantial clinician time, potentially detracting from p...
BACKGROUND: Pediatric rare diseases are highly heterogeneous and are frequently associated with miss...
INTRODUCTION: Auditory implantation is a standard rehabilitation strategy for patients with severe h...
BACKGROUND: Acute decompensated heart failure patients follow a broad range of clinical pathways dur...
BACKGROUND: Mortality risk prediction for elderly intensive care unit (ICU) patients with severe inf...
Accurate prediction of the remaining useful life (RUL) of lithium-ion batteries is crucial for advan...
Venous thromboembolism (VTE) is a leading preventable cause of in-hospital mortality in older adults...
PURPOSE: To examine global research trends in delirium prevention through a bibliometric analysis an...
BACKGROUND: Surgeons and ostomy nurses receive a high volume of stoma photos from patients. OBJECTIV...