Artificial Intelligence Medical Compendium

Vast power grid infrastructure generates enormous volumes of inspection data from smart meters, unmanned aerial vehicle (UAV) patrols, and high-definition video monitoring. Meeting the demand for real-time analysis places stringent requirements on la... read more 

UNLABELLED: Large language models (LLMs) are increasingly used in healthcare; however, their reliability is shaped not only by model design but also by how queries are phrased and how complete the information is. This study assesses how user-driven f... read more 

OBJECTIVE: To investigate the performance of a deep learning machine vision-based model in identifying anatomical landmarks in a complex microsurgical setting, such as the pterional trans-Sylvian approach. PATIENTS AND METHODS: We developed a deep le... read more 

Surgical education research has become increasingly important as training programs evolve from apprenticeship-based models toward evidence-based, theory-informed educational practices. This primer provides a structured overview for clinicians and edu... read more 

This article reviews contemporary issues in telepsychiatry and telepsychotherapy. The authors examine ethics within a larger social context, particularly access to care and cost of care. They consider the evolving scientific validation of telepsychia... read more 

OBJECTIVES: To develop and evaluate automated segmentation models for the liver and hepatic tumors on 18F-fluorodeoxyglucose positron emission tomography/computed tomography (18F-FDG PET/CT) using SwinUNETR and residual UNET architectures, and to ass... read more 

BACKGROUND: Artificial intelligence (AI) technologies hold great promise for improving patient outcomes, reducing clinician workload, and enhancing patient engagement. However, improper design, implementation, and monitoring can introduce significant... read more 

In this essay, we argue that the applications of generative-AI technologies to science communication need careful consideration to ensure such uses are desirable, and socially and ethically acceptable. In early applications of GenAI in science commun... read more 

Chronic idiopathic constipation carries a significant burden on children and their families. Despite existing treatment guidelines, adherence and outcomes remain poor, with gaps in parental understanding contributing to these outcomes. This study aim... read more 

PURPOSE: To compare the accuracy, readability and patient-centeredness of responses generated by standard ChatGPT-4o and its retrieval-augmented 'deep research' mode for hip arthroscopy education, addressing the current uncertainty about the reliabil... read more