Latest AI in Medicine Research | AI Medical Compendium

Utilizing artificial intelligence for the diagnosis of ocular surface squamous neoplasia with ultrasound biomicroscopy images.

Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie Jan 10, 2026

PURPOSE: This study aims to develop an artificial intelligence (AI) model to assist ophthalmologists in distinguishing ocular surface squamous neoplasia (OSSN) from benign ocular surface lesions using ultrasound biomicroscopy (UBM) images. METHODS: D... read more

Subregional Radiomics Analysis on Multiparametric MRI for Evaluating Lymphovascular Invasion and Survival in Gastric Cancer: A Multicenter Study.

Journal of magnetic resonance imaging : JMRI Jan 10, 2026

BACKGROUND: Accurate preoperative assessment of lymphovascular invasion (LVI) remains challenging due to the high heterogeneity of gastric cancer (GC). PURPOSE: To evaluate the feasibility of a subregion-based radiomics model using multiparametric MR... read more

Utilizing Machine Learning for Predicting PrEP Use Status Among Sexual and Gender Minority Young Adults.

Prevention science : the official journal of the Society for Prevention Research Jan 10, 2026

Pre-exposure prophylaxis (PrEP) is a highly effective biomedical prevention tool for HIV yet remains underutilized among key populations, particularly among young sexual and gender minorities (SGM). Recognizing the popularity of specific dating and s... read more

The adoption behavior of fashion designers toward AIGC: The interaction of psychological motivation and perceived risk.

Acta psychologica Jan 10, 2026

With the significant advantages of Artificial Intelligence Generated Content (AIGC) in creativity, efficiency, and cost control, its application in the fashion design industry is rapidly advancing. However, designers' adoption behavior is not only in... read more

Leveraging human pose estimation for diagnostic feedback: Action research on instructional mediation and sustainable learning in coach education.

Acta psychologica Jan 10, 2026

This study investigates the pedagogical integration of Human Pose Estimation (HPE) tools in a university-level physical fitness practicum with 31 undergraduate students, aiming to enhance students' diagnostic reasoning, reflective engagement, and ins... read more

Automating prostate biopsy guidance: A robust CNN approach for non-rigid 3D/3D MR-TRUS image registration.

Computers in biology and medicine Jan 10, 2026

Fusing transrectal ultrasound (TRUS) and magnetic resonance (MR) images has significantly improved the accuracy of prostate cancer detection during targeted biopsies. However, automatic MR-TRUS registration remains challenging due to the large anatom... read more

Bergenin attenuates traumatic brain injury via inhibition of microglial PFKFB3-driven glycolytic-inflammatory crosstalk.

International immunopharmacology Jan 10, 2026

Traumatic brain injury (TBI) initiates a complex cascade of neuroinflammatory and metabolic disturbances that exacerbate neuronal loss and neurological dysfunction. Microglial glycolytic reprogramming, particularly driven by the rate-limiting enzyme ... read more

Quantifying the effect of Behaviour Self-Regulation on well-being through causal analysis: A methodological framework for longitudinal health data.

Journal of biomedical informatics Jan 10, 2026

Understanding the drivers of well-being from longitudinal behavioural data is a fundamental challenge in biomedical informatics, where traditional analyses often conflate correlation with causation. This paper presents a rigorous application of causa... read more

What matters most to older adults? A systematic review of preferences for socially assistive robots.

Archives of gerontology and geriatrics Jan 10, 2026

BACKGROUND: The current level of social acceptance of socially assistive robots (SARs) remains limited. Research on user preferences plays an essential role in improving the acceptance of SARs among older adults. This study aimed to integrate evidenc... read more

YOFOR : You only focus on object regions for tiny object detection in aerial images.

Neural networks : the official journal of the International Neural Network Society Jan 10, 2026

With development of deep learning methods, performance of object detection has been greatly improved. However, the high resolution of remotely sensed images, the complexity of the background, the uneven distribution of objects, and the uneven number ... read more

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