BACKGROUND: Artificial intelligence (AI) and machine learning (ML) have shown immense potential in cardiology, leveraging data-driven insights to enhance diagnosis, treatment planning and patient care. This study presents a comprehensive evaluation o... read more
In deregulated power markets (DPMs), transmission-line congestion has become more severe and frequent than in traditional power systems. This congestion hinders electricity markets from operating in normal competitive equilibrium. The independent sys... read more
BACKGROUND: Sarcopenia is associated with adverse outcomes in patients with end-stage heart failure. Muscle mass can be quantified via manual segmentation of computed tomography images, but this approach is time-consuming and subject to interobserver... read more
Zhonghua wai ke za zhi [Chinese journal of surgery]
Aug 20, 2025
To investigate the application effectiveness of the artificial intelligence(AI) based Generative Pre-treatment tool of Skeletal Pathology (GPTSP) in measuring functional lumbar radiographic examinations. This is a retrospective case series study,re... read more
IEEE transactions on ultrasonics, ferroelectrics, and frequency control
Aug 20, 2025
Deep learning enables automatic and robust extraction of cardiac function descriptors from echocardiographic sequences, such as ejection fraction or strain. These descriptors provide fine-grained information that physicians consider, in conjunction w... read more
Zhonghua wai ke za zhi [Chinese journal of surgery]
Aug 20, 2025
The complex anatomical structure of abdominal organs demands high precision in surgical procedures, which also increases postoperative complication risks. Advancements in digital medicine have created new opportunities for precision surgery. This art... read more
In histological pathology, frozen sections are often used for rapid diagnosis during surgeries, as they can be produced within minutes. However, they suffer from artifacts and often lack crucial diagnostic details, particularly within the cell nuclei... read more
Technology and health care : official journal of the European Society for Engineering and Medicine
Aug 20, 2025
ObjectiveThis analysis aims to examine studies on artificial intelligence (AI) applications in breast cancer diagnosis through bibliometric methods, focusing on temporal and geographical trends. It contributes to shaping the field's roadmap and helpi... read more
BACKGROUND: Breast cancer (BC) remains the second leading cause of cancer-related mortality among women worldwide. Liquid biopsy based on circulating tumor DNA (ctDNA) offers a promising noninvasive approach for early detection; however, differentiat... read more
Single-mode biophysical fingerprints have specific overlap when cell heterogeneity is analyzed. The cross-sensitivity between these parameters results in significant fuzzy intervals in cell phenotype classification based on one-dimensional features, ... read more
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