Latest AI and machine learning research in hospital-based medicine for healthcare professionals.
Heart failure (HF) and malignancy represent two major global health burdens that frequently coexist and lead to poor clinical outcomes. However, the specific impact of malignancy on in-hospital mortality in HF patients remains incompletely understood, and reliable predictive tools specifically for HF patients with comorbid malignancy are currently lacking. This multicenter retrospective study anal...
Background diabetes mellitus is prevalent among patients with acute ischemic stroke (AIS). The prognostic significance of long-term insulin treatment status, a marker of diabetes severity and duration, on outcomes after mechanical thrombectomy (MT) is not well characterized at the national level. Methods we performed a retrospective cohort study using the National Inpatient Sample (2006-2022) to i...
BACKGROUND: Pediatric emergency departments see a high volume of patients. Given that children often cannot describe their condition and there is a sh...
BACKGROUND: Myofascial trigger points (MTrPs), which arise from muscle overload and subsequent ischemia, contribute to myofascial pain syndrome (MPS)....
Compound events-combinations of multiple hazards contributing to societal or environmental risk-can significantly exacerbate disaster impacts, yet the...
Cystinosis is a rare lysosomal storage disorder that affects approximately 1 in 100,000 to 200,000 live births worldwide. Long-term graft success in c...
STUDY DESIGN: This prospective cohort study included pregnant women from a tertiary hospital in Kunming between 2022 and 2023. Demographic characteris...
BACKGROUND: Colorectal cancer (CRC) leads to heavy disease and economic burdens globally. Early screening such as colonoscopy has been demonstrated to...
Rhinoplasty is a commonly performed aesthetic and functional procedure, and patients frequently seek postoperative information beyond routine follow-u...
A miniaturized analytical platform integrating dual-channel electrothermal vaporization-microplasma-based point discharge-optical emission spectrometr...
Super Smart Grids (SSG) aim to provide large-scale, multi-zonal electricity access while dynamically balancing supply and demand. However, their imple...
The process of migration of IoMT systems in healthcare into post-quantum cryptographic systems is expected to be a gradual one. Here, existing ECC-bas...
PURPOSE: This study aims to evaluate two advanced reasoning LLMs in generating treatment recommendations for real-world gastrointestinal stromal tumor...
BACKGROUND: Sepsis-associated acute kidney injury (S-AKI) substantially increases mortality. The recent Phoenix criteria have redefined pediatric seps...
BACKGROUND: Artificial intelligence (AI) has become increasingly integrated into breast reconstruction, transforming preoperative planning, intraopera...
BACKGROUND: The triglyceride-glucose (TyG) index and triglyceride-glucose-body mass index (TyG-BMI) are emerging surrogate markers of insulin resistan...
Intraoperative neurophysiological monitoring (IONM) has evolved from a novel technique into an evidence-based standard treatment method for high-risk ...
BACKGROUND: Given the high complication rates and economic burden of revision total joint arthroplasty, machine learning (ML) models may offer a tool ...
Background and PurposeMechanical ventilation (MV) occurs in a substantial subset of acute ischemic stroke (AIS) hospitalizations and is associated wit...
UNLABELLED: Osteoporosis is a major and growing health concern in the Asia-Pacific region, y et it remains widely underdiagnosed and undertreated due ...