Latest AI and machine learning research in hospital-based medicine for healthcare professionals.
Myocardial infarction (MI) is a major contributor to cardiovascular diseases (CVDs), creating an urgent demand for wireless, real-time, and continuous electrocardiogram (ECG) monitoring. However, conventional hospital-based instruments are bulky and operator-dependent, limiting accessibility and continuous pre-hospital monitoring of MI. Herein, we propose an interfacial welding strategy to fabrica...
OBJECTIVES: After-discharge instructions often fail due to poor usability and language misalignment. We evaluated a clinician-supervised method for generating instructions for common emergency department presentations using a clinician-supervised method using large language models. METHODS: Eight common ED presentations were identified via a physician needs assessment. After-discharge instructions...
Mycoplasma pneumoniae (M. pneumoniae) is a primary pathogen responsible for community-acquired pneumonia (CAP), particularly prevalent among children ...
BACKGROUND: High-risk subsolid pulmonary nodules, especially mixed ground-glass nodules, can represent precancerous or early-stage lung adenocarcinoma...
OBJECTIVE: To analyze the relevant risk factors causing the reduction of periodontal ligament area (PDLA) of the maxillary central incisor by measurin...
BACKGROUND: Stroke, a leading cause of global mortality and disability, requires accurate prediction of discharge outcomes to support early care plann...
BACKGROUND: Stroke is a leading cause of mortality and disability worldwide, creating a critical need for accurate prediction tools to support early c...
BACKGROUND: Sufficient bowel preparation is critical for increasing the quality of colonoscopy. However, current bowel preparation guidelines have lim...
Background In patients with unprovoked venous thromboembolism (VTE), indefinite anticoagulation is recommended to prevent recurrence but may expose so...
Despite remarkable advances in transplant pathology, molecular diagnostics, imaging, and biomarker discovery, uncertainty remains an intrinsic feature...
BACKGROUND: Patient-reported outcome measures and healthcare utilization metrics are increasingly used to evaluate the success of total knee arthropla...
Sepsis remains a leading cause of mortality in the intensive care unit (ICU), and patients with underlying malignancies are disproportionately affecte...
PURPOSE: Weaning from venovenous extracorporeal membrane oxygenation (V-V ECMO) remains unstandardized due to limited literature, with delayed weaning...
Multiomics, next-generation, and long-read sequencing approaches have transformed the practice of medical genetics. Complex cases often require severa...
BACKGROUND: Fast risk stratification is essential for patients with sepsis, a life-threatening condition associated with high mortality, as it guides ...
BACKGROUND: Chronic venous insufficiency (CVI) produces heterogeneous lower-extremity skin changes that often mimic inflammatory dermatoses, complicat...
Deep learning-based fusion of hyperspectral images (HSI) and LiDAR has achieved strong performance in multimodal remote sensing classification, but it...
This case-control study develops a machine-learning (ML)-based fall-risk-prediction model for military-hospital inpatients, using electronic records (...
Microbial inulinases are increasingly recognized as valuable biocatalysts for the sustainable production of high-value products, including fructooligo...
OBJECTIVE: To develop and validate a machine learning model for predicting reduced exercise capacity at 3 months postoperatively using clinical parame...