Non-ST-elevation myocardial infarction (NSTEMI) in elderly diabetic patients presents unique challenges in risk assessment and prognosis prediction. This study aimed to develop and validate a machine learning-based mortality risk prediction model for...
Alzheimer's Disease (AD) is a very common neurodegenerative disorders and early detection using electroencephalography (EEG) can enable timely intervention, however, existing computational models often lack robustness, interpretability, and clinical ...
Blood cancer diagnosis through microscopic image analysis is challenging due to subtle morphological differences between cell stages and subtypes. This study aims to develop a Hybrid Involutional-Convolutional Neural Network (HICNN) for automated leu...
Hepatitis B is a global health burden and can persist for years, with nearly two billion infections worldwide, where its spread is influenced by environmental heterogeneity, host-pathogen interactions, and vaccination-induced immune variability. Prop...
BMC medical informatics and decision making
Dec 15, 2025
BACKGROUND: Early identification of septic patients who will require vasopressor support could provide a critical window for hemodynamic optimisation, yet current bedside cues often appear only when shock is imminent.
BACKGROUND: Non-contrast CT (NCCT) is first-line imaging for suspected acute ischemic stroke (AIS) but has limited early sensitivity; deep learning (DL) may improve patient-level detection.
The impact of Pivotal Response Treatment (PRT) assisted by the social robot Pepper on the emotional regulation and treatment adherence of children with autism spectrum disorder (ASD) and their caregivers is explored. Given the integration of technolo...
Drug combinations are essential to modern medicine, but their discovery remains slow and inefficient as experimental complexity expands rapidly with each additional drug tested. Although modern liquid handling systems enable complex and highly custom...
Artificial intelligence (AI) presents transformative opportunities in nursing education, particularly in Doctor of Nursing Practice (DNP) programs, where preparing graduates for technology-enhanced clinical practice is essential. However, faculty fa...
Artificial intelligence (AI) is transforming higher education by offering accessible tools that enhance comprehension and efficiency. While AI use in clinical decision-making is expanding, little research explores how Doctor of Nursing Practice (DNP...
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