Artificial Intelligence Medical Compendium

Non-invasive and precise identification of clinically significant prostate cancer (csPCa) is essential for the management of prostatic diseases. Our study introduces a novel and interpretable diagnostic method for csPCa, leveraging multi-regional, mu... read more 

AIMS: High-quality feedback is crucial for helping medical students understand and apply core concepts of pharmacology, yet personalized feedback is resource-intensive to produce. Artificial intelligence (AI) offers a potential solution, but little i... read more 

This study evaluates Chat Generative Pre-Trained Transformer 4o's (ChatGPT-4o's) utility in clinical relevance and accuracy compared with Google for pediatric clubfoot treatment questions. Both were queried for the 15 most frequently asked questions ... read more 

Conventional methods for soil sampling and soil water content (SWC) measurement are often labor-intensive and time-consuming. The Pedo-transfer function (PTF) integrating soil spectroscopy with soil physicochemical properties provides a more efficien... read more 

Antimicrobial peptides (AMPs) from food fermentation microbiota hold promise for food preservation and as potential antimicrobial agents. However, the biosynthetic potential of AMPs in food fermentations remains largely unclear. Here, using Chinese b... read more 

Behavioral diversity emerges as a crucial factor for achieving effective collaboration in Multi-Agent Reinforcement Learning (MARL). Current methods often use partial parameter sharing, such as sharing the same representation layer, to balance behavi... read more 

BACKGROUND: Papilledema and other optic neuropathies are critical findings in neuro-ophthalmology that require timely and accurate diagnosis. This study evaluates the performance of a deep learning system (DLS) to identify papilledema and other optic... read more 

BACKGROUND: Multimodal artificial intelligence (AI) models have recently expanded into video analysis. In ophthalmology, one exploratory application is the automated detection of extraocular movement (EOM) disorders. This proof-of-concept study evalu... read more 

Guided by Brey's Anticipatory Technology Ethics, we examined AI-based research mentors (AIRMs) through technology foresight as well as identification and evaluation of ethical issues. Scenario planning was employed to inform foresight, yielding four ... read more 

The exponential growth of biomedical and life sciences literature, including research on amyloid biology, has made it increasingly challenging to track new discoveries and gain a comprehensive understanding of the evolution of specific research field... read more