Artificial Intelligence Medical Compendium

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The Allergic Rhinitis and its Impact on Asthma (ARIA) guidelines produced their first edition in 1999, with subsequent revisions in 2008, 2010, 2016 and 2019. A new iteration of ARIA-ARIA 2024-2025-in collaboration with EAACI is currently being devel... read more 

This letter comments on a recent study that explored the use of an artificial intelligence language model to generate educational materials for parents of children undergoing cardiac catheterization. The study demonstrated improved understanding and ... read more 

OBJECTIVES: Despite AI's promise for radiology, clinical implementation remains limited. AI acceptance is a key factor in bridging the gap between technical validation and adoption. This systematic review identifies factors influencing the acceptance... read more 

PURPOSE: To develop and validate a machine learning (ML)-based pipeline for automated segmentation and classification of complicated cystic renal masses (cCRMs) on MRI. MATERIALS AND METHODS: This multicenter retrospective study enrolled 275 patients... read more 

INTRODUCTION: Item difficulty prediction is crucial for planning and administrating educational assessments, especially those with high-stakes such as medical licensing examinations. The inconsistent findings across existing studies, however, highlig... read more 

This article aims to examine the philosophy of Artificial Intelligence (AI) in healthcare and present a novel framework that could bridge philosophy, ethics, and leadership to promote the responsible and human-centred integration of AI. Moving beyond... read more 

BACKGROUND: AI is increasingly integrated within prostate cancer diagnosis pathway. PURPOSE: To provide estimates of diagnostic accuracy of AI assistance for clinically significant prostate cancer (csPCa) via MRI. MATERIALS AND METHODS: A systematic ... read more 

BACKGROUND: Prediction is vital for plant disease management. This study developed machine learning models that used meteorological data to predict wheat powdery mildew (WPM) occurrence severity degree and area in China. Six machine learning algorith... read more 

Oil spills pose significant environmental threats, particularly in coastal and marine ecosystems, requiring fast and accurate detection methods to support mitigation efforts. In this study, we propose a deep learning-based framework for automatic oil... read more