Latest AI and machine learning research in hospital-based medicine for healthcare professionals.
Retinitis pigmentosa (RP) is a group of inherited retinal diseases that are caused by genetic defects that lead to progressive photoreceptor loss and eventual blindness. Early diagnosis would be helpful for effective management of the disease; however, many patients stay unaware of early symptoms. Meanwhile, fundus images are widely obtained during routine medical checkups but are underused for de...
OBJECTIVES: To evaluate the efficiency and reliability of a large language model (LLM) as a decision-support tool in hospital compounding pharmacy for pediatric extemporaneous preparations requiring assessment of drug crushability, regulatory compliance, and formulation feasibility. METHODS: A proof-of-concept study compared a structured LLM-assisted workflow with the traditional manual informatio...
BACKGROUND: Catheter-associated urinary tract infection (CAUTI) surveillance is critical for patient safety. Many healthcare systems use electronic al...
INTRODUCTION: Portal vein resection (PVR) has become an established component of pancreatic cancer surgery for selected patients with portal vein-supe...
BACKGROUND: Rhabdomyolysis is associated with outcomes ranging from muscle injury to AKI, KRT, and death. Early identification of patients at highest ...
OBJECTIVES: Hospital artificial intelligence (AI) is increasingly embedded in electronic health record workflows, cloud inference pipelines, imaging, ...
PURPOSE: Early identification of anastomotic leakage (AL) is critical for safe discharge within enhanced recovery pathways. This study developed and p...
This review highlights that integrating physiological, molecular, imaging, and AI-based approaches enables early and reliable detection of graft incom...
INTRODUCTION: The automation of hazardous drug preparation in hospitals using robotic systems is an effective strategy to enhance safety, quality, and...
OBJECTIVE: To develop and validate a machine learning model identifying typhoid fever patients at risk of unnecessarily prolonged hospitalization, and...
Bloodstain Pattern Analysis (BPA) is transitioning from an experiential, expert-dependent craft to a quantitative, multidisciplinary forensic science....
BACKGROUND: Conversational voice AI assistants can automate postoperative follow-up calls in high-volume, low-complexity pathways such as cataract sur...
OBJECTIVE: This study constructed a predictive model for interstitial lung disease (ILD) in patients with rheumatoid arthritis (RA) and explored the v...
Evaluating clinical reasoning in large language models (LLMs) poses two open challenges: reference-oriented semantic metrics do not directly assess wh...
Diagnostic error, defined as missed, wrong, or delayed diagnoses or those not communicated to patients, is common, affecting 5-10 % of hospital admiss...
Artificial Intelligence offers valuable tools for scientific discovery, but when used improperly, it can cause blunders. In this paper, we report find...
Healthcare insurance fraud causes substantial financial losses, operational inefficiencies, and reduced trust among patients, providers, and insurers....
Left-ventricular cardiac power output (CPO), stroke-work index (LVSWI), and ventriculo-arterial coupling (VAC) capture cardiac energetics and ventricu...
INTRODUCTION: Post COVID-19 condition (PCC) denotes the persistence of symptoms following Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2)...
BACKGROUND: Studies linking self-reported symptoms to circulating protein biomarkers are increasing, partly driven by the rising number of protein bio...