Artificial Intelligence Medical Compendium

Explore the latest research on artificial intelligence and machine learning in medicine.

Showing 65,311 to 65,320 of 231,904 articles

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

Acta psychologica
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
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
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
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
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
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
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 

UTMorph: A hybrid CNN-transformer network for weakly-supervised multimodal image registration in biopsy puncture.

Medical image analysis
Accurate registration of preoperative magnetic resonance imaging (MRI) and intraoperative ultrasound (US) images is essential to enhance the precision of biopsy punctures and targeted ablation procedures using robotic systems. To improve the speed an... read more 

Development of a deep learning-based histological evaluation model for critical-size bone defect healing in rats - an objective tool.

Bone
INTRODUCTION: Critical-size femoral defects in rats are a well-established model for preclinical bone regeneration research. Histological evaluation is essential for assessing healing but remains time-consuming and subject to observer variability. Ma... read more 

Coronary artery calcium clinical utilization: An update.

Current problems in cardiology
Coronary artery disease (CAD) remains a leading cause of mortality and morbidity worldwide. Coronary artery calcification (CAC) is a well-established marker of atherosclerotic burden, and its quantification provides an objective measure of subclinica... read more