BACKGROUND: Lymphovascular invasion (LVI) is a well-established adverse prognostic factor in prostate cancer (PCa). This study aimed to develop and validate an artificial intelligence (AI)-based framework leveraging multi-instance learning (MIL) and ... read more
PURPOSE: Vaginal tissue tearing during childbirth is a prevalent injury with potential long-term consequences, yet the mechanical factors influencing tear behavior remain poorly understood due to the difficulty of conducting in vivo studies. This stu... read more
The increasing prevalence of chronic diseases, functional decline, and cognitive impairments, together with the limitations of episodic clinical assessments, has created a critical need for automated and continuous monitoring of Activities of Daily L... read more
The International journal of neuroscience
Mar 12, 2026
PURPOSE: To have an insight into language-related functional connectivity in post-stroke aphasia (PSA) from graph theory measurements when performing an ability-matched auditory-verbal task fMRI. METHODS: Fifty-seven PSA patients were stratified into... read more
BMC medical informatics and decision making
Mar 12, 2026
BACKGROUND: Geriatric syndromes (GS) are complex conditions that affect older adults and often require multidisciplinary assessment. Natural language processing (NLP) has emerged as a promising tool for extracting relevant clinical information from u... read more
BACKGROUND: The integration of artificial intelligence (AI) into healthcare, particularly in oncology, has attracted considerable attention in China. Understanding oncologists' views on AI is essential for developing effective integration strategies ... read more
BACKGROUND: Individuals with cardiovascular-kidney-metabolic (CKM) syndrome exhibit a substantially elevated risk of all-cause and cardiovascular-specific mortality. Although estimated glucose disposal rate (eGDR) and a body shape index (ABSI) are co... read more
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