AI Medical Compendium

CT acquisition protocols in lung cancer screening: implications for guideline development from a worldwide survey.

Insights into imaging Mar 16, 2026

OBJECTIVES: To assess the currently applied CT image acquisition protocols in lung cancer screening (LCS) and thereby fill a knowledge gap to support guideline development. MATERIALS AND METHODS: Through worldwide distribution of an online survey, da... read more

Generating synthetic CEM from low-energy images using deep learning: A future without contrast media? A proof-of-concept study.

European radiology experimental Mar 16, 2026

OBJECTIVE: We used deep learning to generate synthetic, resembling in appearance, iodine-enhanced, mammograms from low-energy contrast-enhanced mammography (CEM) images. MATERIALS AND METHODS: We retrospectively selected 140 CEM examinations. We trai... read more

Radiomics in fetal brain MRI: a narrative review.

European radiology experimental Mar 16, 2026

Fetal MRI has emerged as a crucial supplement to prenatal ultrasonography in the evaluation of the developing brain and in identifying congenital defects and minor developmental malformations. While fetal brain MRI interpretation has always depended ... read more

IFSO Survey: Use of Large Language Models (LLMs) by Metabolic Bariatric Surgeons and Integrated Health Professionals.

Obesity surgery Mar 16, 2026

Nonvolatile Optoelectronic Synapses and Brain-Inspired Neuromorphic Applications Based on NbOCl2/α-In2Se3 Heterojunction.

ACS applied materials & interfaces Mar 16, 2026

Two-dimensional van der Waals heterostructures have emerged as promising candidates for next-generation optoelectronic devices owing to their tunable band structures and strong light-matter interactions. However, achieving high-performance photodetec... read more

Current and future contributions of AI to pulmonary function test interpretation, diagnostic approaches, and predictions of disease progression.

Expert review of respiratory medicine Mar 16, 2026

INTRODUCTION: Artificial intelligence (AI) methods - including machine learning, deep learning, and explainable AI - are increasingly applied to pulmonary function testing (PFT) to enhance interpretation, standardize procedures, and support clinical ... read more

Multi-Feature Fusion and Compressed Bi-LSTM for Memory-Efficient Heartbeat Classification on Wearable Devices.

IEEE journal of biomedical and health informatics Mar 16, 2026

In this paper, we present a memory-efficient ECG based heartbeat classification for wearable devices enabled by multi-feature fusion and compressed bidirectional long short term memory (Bi-LSTM). A multi-feature fusion technique based on time interva... read more

GeoCTP: Structure-aware Prediction of Multifunctional Cancer Therapy Peptides via Graph Transformer and Contrastive Learning.

IEEE journal of biomedical and health informatics Mar 16, 2026

Cancer therapy peptides (CTPs), as multifunctional peptides, possess the ability to target cancer cells or related proteins, exhibiting significant therapeutic potential. However, traditional experimental screening methods are time-consuming and labo... read more

CIRCUS: A Causal Intervention-Based Framework for Enhancing Counterfactual Fairness in Trained Classifiers.

IEEE transactions on neural networks and learning systems Mar 16, 2026

Ensuring model fairness for preventing potential biases based on any sensitive attribute is crucial for the societal acceptance of artificial intelligence in critical applications. Among various fairness concepts, counterfactual fairness has gained p... read more

On Demographic Group Fairness Guarantees in Deep Learning.

IEEE transactions on pattern analysis and machine intelligence Mar 16, 2026

We present a comprehensive theoretical framework analyzing the relationship between data distributions and fairness guarantees in equitable deep learning. Our work establishes novel theoretical bounds that explicitly account for data distribution het... read more

Artificial Intelligence Medical Compendium