AI Medical Compendium

Feedforward 3D Editing Learns from Semantic-Part Transformation

arXiv May 26, 2026

3D editing is a fundamental capability for scalable 3D content creation. While image editing has rapidly evolved toward large-scale feedforward generative paradigms, 3D AI generation remains dominated by training-free editing pipelines. A central cha... read more

Computer Vision and Pattern Recognition

Evaluating the Performance of Artificial Intelligence in Accurately Detecting Skin Cancer: An Umbrella Review of Systematic Reviews and Meta-analyses.

American journal of clinical dermatology May 26, 2026

BACKGROUND: Artificial intelligence technology is being widely developed in dermatology. However, there remains a lack of comprehensive data analyzing the diagnostic performance of artificial intelligence in skin cancer. OBJECTIVE: We aimed to evalua... read more

Coconstructing CHAMP, an Artificial Intelligence Chatbot for Pediatric Infectious Symptoms Management: Protocol for a Multiphase Participatory Study.

JMIR research protocols May 26, 2026

BACKGROUND: Acute infectious symptoms are a leading cause of pediatric emergency department visits in Canada, many of which are low acuity and could be safely managed at home. Artificial intelligence (AI) chatbots offer a promising avenue for deliver... read more

Endoscopy-based Deep Learning Algorithms versus Endoscopists in Early Esophageal Squamous Cell Carcinoma Detection: A Systematic Review and Meta-Analysis.

The American journal of gastroenterology May 26, 2026

INTRODUCTION: To compare the diagnostic performance of endoscopy-based deep learning (DL) algorithms with endoscopists of different experience levels for detecting early esophageal squamous cell carcinoma (ESCC). METHODS: PubMed, Embase, and Web of S... read more

Modeling elastoviscoplastic materials using physics-informed neural networks.

Soft matter May 26, 2026

Elastoviscoplastic (EVP) materials pose significant challenges for predictive modeling, especially under large amplitude oscillatory shear (LAOS) conditions due to their nonlinear rheological behavior. While various models have been proposed to descr... read more

Label-Free Imaging of Single Proteins and Binding Dynamics via Deep Learning-Enhanced Plasmonic Scattering Microscopy.

Journal of the American Chemical Society May 26, 2026

Determining protein binding is fundamental to deciphering biochemical mechanisms and engineering advanced biosensors, yet label-free imaging of single-protein binding dynamics remains challenging. Here, we introduce plasmonic scattering microscopy in... read more

When AI Colludes: Clinical Reliability of Training and Preference Data as a Trustworthy-AI Criterion.

JMIR mental health May 26, 2026

Research on artificial intelligence (AI) and mental health has focused largely on harms at deployment, including chatbot safety, sycophancy, and AI-associated delusions. Less attention has been paid to a prior question: whether the human-generated te... read more

Minimum Description Length-Driven Fragment Mining for Pretraining Molecule Property Prediction Model.

IEEE transactions on computational biology and bioinformatics May 26, 2026

Molecular fragments play a crucial role in molecular property prediction. However, most existing deep learning approaches rely heavily on expert-defined substructural patterns, limiting their ability to identify novel or latent fragments. This constr... read more

Immersive spatial computing in neurosurgery.

British journal of neurosurgery May 26, 2026

PURPOSE: Immersive spatial computing technologies, including virtual reality (VR), augmented reality (AR), and mixed reality (MR), are increasingly applied across the neurosurgical pathway. This paper explores their evolution and modern role in crani... read more

Determinants of maternal postnatal care utilization in Bangladesh: A machine learning and SHAP-based analysis of BDHS 2022 data.

PloS one May 26, 2026

Postnatal care (PNC) plays a crucial role in minimizing maternal and neonatal morbidity and mortality, but the uptake of services in Bangladesh remains below the recommended level. Although logistic regression has been widely used, it may miss comple... read more

Artificial Intelligence Medical Compendium