Artificial Intelligence Medical Compendium

BACKGROUND: The integration of artificial intelligence (AI) into plastic and aesthetic surgery is advancing rapidly, with applications in preoperative image analysis, outcome simulation, and complication prediction. However, the adoption of AI-based ... read more 

OBJECTIVES: Although the identification of enumeration anomalies has potential clinical implications for chronic back pain and operation planning, the thoracolumbar junction is poorly assessed and rarely described in clinical reports. Additionally, e... read more 

PURPOSE: This study aimed to comparatively evaluate the accuracy, overall quality, and readability of responses generated by three contemporary large language models (LLMs)-Grok AI, ChatGPT-5 Plus, and Gemini 2.5 Flash-to clinical questions commonly ... read more 

This review concludes that integrating AI with smart sensing has the potential to substantially enhance hydroponic production through precise monitoring, adaptive control, and improved resource-use efficiency. Hydroponics, a key approach in controlle... read more 

The clinical implementation of precision oncology remains challenged by intratumoral heterogeneity, complex tumor microenvironment interactions, and the limited predictive value of conventional preclinical models. 3D cancer spheroids have emerged as ... read more 

Accurate characterisation of the wound bed, the relative proportions of granulation, slough and necrotic tissue described by the red-yellow-black model, is central to monitoring healing and guiding debridement in chronic-wound care, yet in routine pr... read more 

OBJECTIVE: This study asked whether urologists can tell human-written abstracts apart from artificial intelligence (AI)-written abstracts when both describe the same study, and whether the answer depends on which AI model did the writing. METHODS: Fi... read more 

Multiparametric magnetic resonance imaging (mpMRI) has become integral to the detection, localization, risk stratification, and management of prostate cancer. Increasing utilization of prostate MRI in screening, active surveillance, targeted biopsy g... read more 

Accurate prediction of drug synergy is critical for accelerating the discovery of effective combination therapies, particularly in precision oncology. However, many existing computational approaches rely on limited data modalities or employ simple fu... read more 

Objective Structured Clinical Examinations (OSCEs) remain central to the assessment of clinical competence, yet the integration of artificial intelligence (AI) into assessment design, delivery, and scoring raises a fundamental question: what evidence... read more