AI Medical Compendium

A Review of Artificial Intelligence Across the Facial Esthetic Surgical Continuum: Education, Planning, Intraoperative Use, and Postoperative Outcomes.

The Journal of craniofacial surgery May 15, 2026

Artificial intelligence (AI) is increasingly used in facial aesthetic surgery. This specialty is well-positioned to benefit from its ability to analyze large visual data sets and provide more objective outcome measurements. The authors' review will f... read more

Multigas Selective Identification Based on a Single Chemiresistive Gas Sensor via Dynamic Light-Pulse Modulation and Machine Learning.

ACS sensors May 15, 2026

Metal oxide semiconductor (MOS) gas sensors hold great promise for gas detection due to their low cost and miniaturization. Nevertheless, such sensors are unable to distinguish structurally analogous gas molecules due to mere reliance on one-dimensio... read more

Role of Low-Field Magnetic Resonance Imaging in the Lungs: Opportunities and Challenges.

Journal of computer assisted tomography May 15, 2026

Clinical utilization of lung MRI has not kept pace with MRI of other body regions. This is due to a combination of technical and perceptual factors related to lung imaging. With increasing access to and application of low-field MRI, there are unique ... read more

Obesity, microRNA circulating microRNA signatures reveal core and reversible dysregulations in obesity via machine learning.

The Journal of physiology May 15, 2026

Obesity is a complex metabolic disease characterized by systemic metabolic and inflammatory dysregulation, yet the molecular signatures underlying these processes remain incompletely understood. Circulating microRNAs (miRNAs) have emerged as promisin... read more

Medical pre-training and fine-tuning improve large-language-model prediction of rheumatoid-arthritis disease activity.

Modern rheumatology May 15, 2026

OBJECTIVE: To evaluate whether medical-domain pre-training and parameter-efficient fine-tuning improve the ability of locally deployable large language models (LLMs) to predict long-term disease activity and disability in rheumatoid arthritis (RA), a... read more

Regarding 'artificial intelligence-assisted real-time nasopharyngeal cancer diagnostic model enhances rhinologist performance: a prospective multi-reader study'.

Annals of medicine May 15, 2026

TIME: A Taylor-Inspired Mixed-Effects Model for IDH Prediction.

IEEE transactions on bio-medical engineering May 15, 2026

BACKGROUND: Intradialytic hypotension (IDH) is a critical complication in hemodialysis that increases morbidity and treatment risks, yet existing machine learning methods inadequately address session-level physiological state heterogeneity and fail t... read more

Distilling Clinical Reasoning from Text Corpora for Explainable AI in Medical Imaging.

IEEE journal of biomedical and health informatics May 15, 2026

While deep learning models have achieved remarkable diagnostic accuracy in medical imaging, their inherent "black box" nature severely impedes clinical adoption due to a lack of transparency and trust. Current eXplainable AI (XAI) methods, such as sa... read more

TSGNAS: A Topology- and Semantic-Guided Graph Neural Network Architecture Searcher.

IEEE transactions on neural networks and learning systems May 15, 2026

Designing effective graph neural networks (GNNs) for diverse tasks requires substantial manual effort, especially when dealing with the intricate interplay between topological structures and semantic information in graph data. Existing automated appr... read more

DSHARP: Deep Incompressible Motion Estimation with Sinusoidal-transformed Harmonic Phase for Tagged MRI.

IEEE transactions on medical imaging May 15, 2026

Tagged magnetic resonance imaging (tMRI) is a valuable tool for visualizing and quantifying tissue deformation in vivo. Its use is often hampered, however, by tag fading, long computation times, and the challenge of ensuring diffeomorphic, incompress... read more

Artificial Intelligence Medical Compendium