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Abstracts Alert fatigue remains a major barrier to the effective deployment of predictive models in emergency care, particularly in the context of rare but critical outcomes such as in-hospital mortality (IHM), which oft...

Abstract Surgical planning for clear cell renal cell carcinoma (ccRCC) is highly dependent on tumor aggressiveness. However, current decisions are predominantly based on postoperative pathology, limiting opportunities fo...

Abstract Background Chronic kidney disease (CKD) frequently causes death in older cats; its early detection is challenging. Objectives To build a sensitive and specific model for early prediction of CKD in cats using art...

Abstract Background Sarcopenia is a muscle disease that increases the risk of falls, fractures, and mortality. Appendicular lean mass (ALM) assessment is central to its diagnosis, but standard methods like dual-energy X-...

Abstract Epidemiological cohorts often collect self-reported oral health (SROH) questionnaires but lack clinical periodontal measurements. We developed a selective, explainable machine learning (ML) pipeline that can ass...

IntroductionBrain tumor lesions in MRI images are characterized by low contrast, indistinct boundaries, and irregular morphology, posing substantial challenges for automated detection. RT-DETR provides an end-to-end, NMS...

Conventional Garden classification of femoral-neck fractures relies on radiography or CT, but image quality variations, indistinct fracture lines, and inter-observer differences often cause misclassification—especially...

Abstract BackgroundMultimodal large language models (MLLMs) capable of integrating visual and textual information represent a promising advancement for clinical applications requiring image interpretation. Wo...

Abstract BackgroundSpeech sound disorders are common in children and are associated with an increased risk of academic reading difficulties. The COVID-19 pandemic further highlighted the need for remote and d...

BACKGROUND: About a third of home-dwelling older people fall each year, and institutionalized older people even report a two- or threefold higher rate for falling. Automatic fall detection systems have been developed to ...

<p>This data set was collected to examine the eHealth Literacy Scale as a means of assessing eHealth literacy among German athletes. In this context, we pursued two objectives with this study: first, to test the fa...

Materias / palabras clave: cardiology, oncology, urology, anaesthesiology, orthopaedics, artificial intelligence; Medicine: Internal medicine

Materias / palabras clave: cardiology, cardiovascular epidemiology, cardiovascular genetics and epigenetics, artificial intelligence; Medicine: Internal medicine: Specialties of internal medicine: Diseases of the circulatory (Cardiovascular) syste...

Materias / palabras clave: magnetic resonance, cardiovascular diseases, cerebrovascular disease, translational research, clinical research, machine learning & artificial intelligence; Medicine: Internal medicine: Specialties of internal medicine: ...

Materias / palabras clave: urinary tract infections, urology, infections, inflammation, sexually transmitted diseases, artificial intelligence; Medicine: Internal medicine: Specialties of internal medicine: Diseases of the genitourinary system. Ur...

Materias / palabras clave: surgical oncology, tumours, cancer surgery, robotic surgery, artificial intelligence, minimally invasive surgery; Medicine: Surgery; Medicine: Internal medicine: Neoplasms. Tumors. Oncology. Including cancer and carcinog...

Materias / palabras clave: breast diseases, artificial intelligence, data science, surgery, imaging, oncology; Medicine: Medicine (General): Medical technology; Medicine: Internal medicine

Materias / palabras clave: artificial intelligence, cancer research, deep learning, machine learning, precision oncology, large language model; Medicine: Medicine (General): Computer applications to medicine. Medical informatics; Medicine: Interna...