AI Medical Compendium

Multifrequency Electrical Impedance Myography Enhanced with Machine Learning for Screening Patients with Neuromuscular Disorders.

Annals of biomedical engineering May 22, 2026

We evaluated surface electrical impedance myography (EIM) enhanced with machine learning to serve as a new office-based screening tool for neuromuscular disease METHODS: EIM of nine muscles was successfully performed in 119 adults and 111 children (a... read more

A rapid total-body PET imaging approach for pediatric patients using non-attenuation-corrected PET scans.

EJNMMI physics May 22, 2026

BACKGROUND: Pediatric lymphoma patients undergo multiple 18F-FDG PET/CT examinations for staging and response assessment, raising concerns about cumulative radiation dose, particularly from the CT component. We propose SnapPET, a CT-sparing deep lear... read more

RetCond: A Conditional Diffusion Model for Self-Explanatory Multi-Class Fundus Image Classification.

Journal of medical systems May 22, 2026

Vision impairment remains a major global health challenge, and early diagnosis of retinal diseases is essential to prevent avoidable vision loss. Color fundus photography is widely used for retinal assessment, but manual interpretation is time-consum... read more

Identification of replication factor C subunit 4 as a potential therapeutic target in esophageal squamous cell carcinoma based on bioinformatic analysis and machine learning.

Discover oncology May 22, 2026

BACKGROUND: Esophageal squamous cell carcinoma (ESCC) is one of the highly lethal and aggressive malignant tumors worldwide. To effectively prevent and treat this disease, the search for novel molecular targets is of great significance for promoting ... read more

Development of cognitive engagement and motivation using AI chatbot-facilitated questioning in medical education.

Advances in health sciences education : theory and practice May 22, 2026

Artificial intelligence tools such as ChatGPT offer new opportunities to support medical students' learning through interactive questioning and instantaneous feedback. However, while ChatGPT may facilitate learning engagement through its accessibilit... read more

Simultaneous partial volume correction and denoising of brain PET images, using transformers and transfer learning.

EJNMMI research May 22, 2026

BACKGROUND: Positron emission tomography (PET) is a key tool for quantitative brain imaging, but its image quality and quantitative reliability are strongly dependent on injected radiotracer activity and acquisition time. Reducing injected dose or ac... read more

Dual-attention bidirectional LSTM with feature genomic analysis improves prognostic survival prediction in colorectal cancer patients.

Journal of the Egyptian National Cancer Institute May 22, 2026

The increasing incidence and mortality rates of colorectal cancer necessitate accurate prediction of patients' prognostic survival time for better management, early screening, and extended lifespan. This study uses the TCGA public dataset to conduct ... read more

AI-enhanced CT reconstruction for texture preservation in clinical imaging.

Journal of X-ray science and technology May 22, 2026

BackgroundAI-enhanced CT reconstruction enables strong noise suppression and dose reduction, but aggressive denoising can distort diagnostically relevant texture, lowering reader confidence-the "texture preservation paradox." Clinical evidence linkin... read more

Measuring AI literacy in medical students: scale development and validation within a self-determination theory framework.

Medical education online May 22, 2026

BACKGROUND: Artificial intelligence (AI) is increasingly integrated into healthcare, making AI literacy an essential competency for medical students. Existing assessments are often generic, lack validation in medical education, and are not grounded i... read more

New causal discovery algorithm over censored variables identifies subtype-specific drivers of breast cancer progression.

GigaScience May 22, 2026

Many research domains are producing large, multi-scale, multi-modal datasets at growing rates with mixed variable types (continuous, discrete, censored). Identifying possible cause-effect associations in such datasets is essential for predicting outc... read more

Artificial Intelligence Medical Compendium