AI Medical Compendium

[Minimally invasive liver surgery: current trends and future perspectives].

Zhonghua wai ke za zhi [Chinese journal of surgery] Aug 20, 2025

In recent years, the continuous optimization of minimally invasive surgical instruments and equipment for liver procedures, coupled with advancements in surgeons' technical expertise and theoretical frameworks, has propelled the personalized and prec... read more

xBitterT5: an explainable transformer-based framework with multimodal inputs for identifying bitter-taste peptides.

Journal of cheminformatics Aug 20, 2025

Bitter peptides (BPs), derived from the hydrolysis of proteins in food, play a crucial role in both food science and biomedicine by influencing taste perception and participating in various physiological processes. Accurate identification of BPs is e... read more

Multimodal analysis of cell-free DNA enhances differentiation of early-stage breast cancer from benign lesions and healthy individuals.

BMC biology Aug 20, 2025

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

Humans Female Aged Adult Breast Neoplasms Biomarkers, Tumor Middle Aged DNA Methylation Cell-Free Nucleic Acids Early Detection of Cancer

Warning: AI chatbots will soon dominate psychotherapy.

The British journal of psychiatry : the journal of mental science Aug 20, 2025

Psychotherapy chatbots have attained remarkable fluency, skill and ubiquity - having become the single most frequent reason people use artificial intelligence. Their uncanny ability to engage and validate is a two-edged sword - useful for the majorit... read more

Artificial Intelligence Applications in Healthcare: A Systematic Review of Their Impact on Nursing Practice and Patient Outcomes.

Journal of nursing scholarship : an official publication of Sigma Theta Tau International Honor Society of Nursing Aug 20, 2025

BACKGROUND: Artificial Intelligence is revolutionizing healthcare by addressing complex challenges and enhancing patient care. AI technologies, such as machine learning, natural language processing, and predictive analytics, offer significant potenti... read more

Attention-based deep learning network for predicting World Health Organization meningioma grade and Ki-67 expression based on magnetic resonance imaging.

European radiology Aug 20, 2025

OBJECTIVES: Preoperative assessment of World Health Organization (WHO) meningioma grading and Ki-67 expression is crucial for treatment strategies. We aimed to develop a fully automated attention-based deep learning network to predict WHO meningioma ... read more

Trans-omics analyses identify the biochemical network of LPCAT1 associated with coronary artery disease.

Biomarker research Aug 20, 2025

BACKGROUND: Coronary artery disease (CAD) remains a leading cause of mortality in developed nations. While previous genome-wide association studies have identified single-nucleotide polymorphisms (SNPs) linked to CAD, their impact on disease progress... read more

Machine learning aided optoelectric characterization modelling and prediction of the IV parameters of perovskite solar cells with > 90% accuracy.

Scientific reports Aug 20, 2025

Luminescence imaging techniques assume a critical role in the evaluation of the durability and lifespan of solar cells. This study presents a novel empirical approach that capitalizes on simple machine learning-based linear regression (MLLR) to progn... read more

New chemical average model for molecular simulations of the asphalt system.

Physical chemistry chemical physics : PCCP Aug 20, 2025

This study refined the Brown-Ladner (B-L) method and combined it with elemental analysis to construct average molecular structure models of virgin asphalt, aiming to achieve more precise molecular simulations of asphalt materials. The chemical struct... read more

A study on the effectiveness of machine learning models for hepatitis prediction.