AI Medical Compendium

From data to decision: a clinical pipeline for wearable AI in early cardiotoxicity detection.

Cardio-oncology (London, England) May 18, 2026

Chemotherapy-induced cardiotoxicity (CIC) is a leading cause of morbidity in cancer survivors, as conventional surveillance often detects cardiac dysfunction only after significant injury. This review moves beyond summarizing emerging technologies to... read more

Investigating the association between the food inflammation scores of individuals and stroke in adults: an extreme gradient boosting machine learning model interpreted with shapley additive explanations.

Journal of health, population, and nutrition May 18, 2026

BACKGROUND: Chronic systemic inflammation is a pivotal modifiable risk factor for stroke. The food-based Food Inflammation Index (FII) offers a novel approach to assess dietary inflammatory potential, yet the association between its derivative, the F... read more

The evolving PI-RADS paradigm.

Cancer imaging : the official publication of the International Cancer Imaging Society May 18, 2026

Prostate MRI is central to the diagnostic pathway for prostate cancer (PCa), reducing unnecessary biopsies, improving the detection of clinically significant disease (csPCa), and limiting overdiagnosis of indolent tumours. The Prostate Imaging Report... read more

Evaluation of a Convolutional Neural Network-Based Artifact Reduction Algorithm for Zirconia Single Crown Artifacts in Cone-Beam Computed Tomography.

Dento maxillo facial radiology May 18, 2026

OBJECTIVES: Zirconia-induced artifacts frequently degrade the image quality in dental cone-beam computed tomography (CBCT), and complicate clinical diagnosis. This study aimed to develop and evaluate a novel image-domain artifact reduction algorithm ... read more

Mitigating Bias in Multi-Label Medical Text Classification: A Cooperative Training Framework with Dynamic Debiasing.

Bioinformatics (Oxford, England) May 18, 2026

MOTIVATION: Medical text classification plays a critical role in clinical decision support, automated diagnosis, and biomedical research. However, deep learning models are highly susceptible to dataset-induced biases, such as label bias and keyword b... read more

AI-powered digital innovations in pharmaceuticals research & development: Current landscape and case examples.

Journal of biopharmaceutical statistics May 18, 2026

Artificial intelligence (AI)-powered digital innovations are increasingly reshaping pharmaceuticals and research and development. While AI/ML techniques are now widely accessible, some of the work on Large Language Models (LLMs) and other aspects of ... read more

Exploring the Psychological Mechanisms of Self-Aggression in Male Individuals with Substance Use Disorders: A Study Combining Interpretability Automated Machine Learning and Conditional Process Model.

Substance use & misuse May 18, 2026

Background: Individuals with substance use disorders often exhibit self-aggressive behaviors, which are linked to childhood trauma, the psychological mechanisms underlying self-aggression in substance use disorders remain unclear. This study utilizes... read more

Artificial Intelligence in Breast Reconstruction: A Scoping Review of Pre-, Intra-, and Postoperative Applications.

Plastic and reconstructive surgery. Global open May 18, 2026

BACKGROUND: Artificial intelligence (AI) has become increasingly integrated into breast reconstruction, transforming preoperative planning, intraoperative guidance, and postoperative follow-up. AI tools have shown potential to improve patient counsel... read more

Accuracy of cephalometric landmark identification on artificial intelligence-based software: a comparative study.

Dental press journal of orthodontics May 18, 2026

INTRODUCTION: Cephalometry has long been a cornerstone of orthodontic diagnosis and treatment planning. While traditionally performed manually, cephalometric analysis has increasingly shifted toward semi-automated or fully automated computer-based so... read more

DivideFold+: an AI-based tool for RNA secondary structure prediction with subdomains identification and visualization and data augmentation.

Journal of molecular biology May 18, 2026

Predicting the secondary structure of RNAs, particularly long RNAs, remains a challenging problem despite its importance in identifying the structural roles of RNAs. Deep-learning-based methods face a lack of data and cannot provide very accurate pre... read more

Artificial Intelligence Medical Compendium