AI Medical Compendium

Machine learning in epilepsy.

Epilepsy research Apr 1, 2026

Epilepsy is a complex neurological disorder characterized by pathological processes that unfold across multiple biological scales, from cellular excitability and synaptic integration to large-scale network dynamics observable in electroencephalograph... read more

Classification of vinegar types using volatile compound profiles and machine learning.

Food chemistry Apr 1, 2026

Vinegar is a traditional fermented food whose aroma diversity arises from volatile metabolites formed during alcoholic and acetic acid fermentation. However, analyses of volatile profiles across vinegar types remain limited. Here, four vinegar types-... read more

Inside the 'self-driving' lab revolution.

Nature Apr 1, 2026

Global Sensitivity Analysis for Robust XAI: Quantifying Clinical Risk and Prediction Instability in Dermoscopic Image Classification.

Risk analysis : an official publication of the Society for Risk Analysis Apr 1, 2026

The high nominal accuracy achieved by deep learning models in predicting malignant skin lesions is frequently undermined by their susceptibility to operational uncertainty. Image acquisition conditions, such as lighting, device settings, and skin cha... read more

Predicting Post-Induction Hypotension in Diverse Surgical Populations: A Multiclass Classification Universal Model Using Machine Learning Techniques.

Yonsei medical journal Apr 1, 2026

PURPOSE: Our study aims to develop a machine learning model that not only predicts the occurrence of post-induction hypotension (PIH) but also assesses its severity, addressing a broader patient population than previous studies which mostly focused o... read more

Deep Learning for Automated Tumor Segmentation of Rectal Cancer on T2-Weighted Magnetic Resonance Images.

Yonsei medical journal Apr 1, 2026

PURPOSE: To develop a deep learning (DL)-based automated segmentation model for rectal cancer on T2-weighted (T2W) magnetic resonance (MR) images. MATERIALS AND METHODS: A total of 458 patients who underwent baseline rectal MR imaging were retrospect... read more

Automated identification of radiotherapy treatment sites from unstructured physician notes.

Journal of applied clinical medical physics Apr 1, 2026

PURPOSE: Ambiguous or incomplete documentation is a recurrent bottleneck in radiation oncology workflows, leading to inefficiencies in communication and potential treatment delays. Large language models (LLMs) pose a solution to addressing these ambi... read more

Deep Learning-Enhanced Resonance Frequency Analysis for Dental Implant Stability Assessment.

Clinical and experimental dental research Apr 1, 2026

OBJECTIVES: Accurate assessment of dental implant stability is critical for predicting osseointegration outcomes and guiding clinical decision-making. Resonance frequency analysis (RFA) is a widely adopted non-invasive method for measuring implant st... read more

Artificial Intelligence in Dental Treatment Planning and Diagnostic Decision-Making: A Systematic Review and Meta-Analysis.

Clinical and experimental dental research Apr 1, 2026

OBJECTIVES: This systematic review and meta-analysis aimed to synthesize the available evidence on the use of AI in dental diagnostic decision-making and treatment planning, evaluating both diagnostic accuracy and its influence on clinical decision-m... read more

Skin Tone in Hyperspectral Imaging and Its Implications for Fairness in AI.

Journal of biophotonics Apr 1, 2026

Artificial intelligence (AI) is increasingly applied in healthcare, but concerns remain about bias affecting under-represented groups. We investigated whether skin tone is systematically encoded in hyperspectral imaging data and how this affects clas... read more

Artificial Intelligence Medical Compendium