AI Medical Compendium

Global-Local Interaction and Recalibration Network for Salient Object Detection in Optical Remote Sensing Images.

IEEE transactions on cybernetics Jun 2, 2026

Optical remote sensing images (RSIs) exhibit extensive spatial coverage and complex geographic backgrounds, where salient objects in the optical RSIs present a variety of scales, shapes, and orientations. Over the past few years, many deep learning-b... read more

EfficientCovNet: Modeling the Pairwise Voxel Dependency for Brain ROI Segmentation.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society Jun 2, 2026

Segmenting the brain magnetic resonance (MR) images to region-of-interest (ROI) is a fundamental step for many medical image analysis tasks. Convolutional neural networks (CNNs) excel in learning the high-level contextual features for image segmentat... read more

Towards Explainable Quantum AI: Informing the Encoder Selection of Quantum Neural Networks via Visualization.

IEEE transactions on visualization and computer graphics Jun 2, 2026

Quantum Neural Networks (QNNs) represent a promising fusion of quantum computing and neural network architectures, offering speed-ups and efficient processing of high-dimensional, entangled data. A crucial component of QNNs is the encoder, which maps... read more

MEG-mod: A Multiview Enhanced Graph Neural Network for Knockdown Efficiency Prediction of Chemically Modified siRNA.

Journal of medicinal chemistry Jun 2, 2026

Chemical modification is essential for improving the stability and knockdown efficiency of siRNAs. However, the combinatorial complexity of modification types and positions makes rational design difficult. Here, we propose MEG-mod, a deep learning fr... read more

Proteomic signatures of early retinal neurodegeneration in type 2 diabetes mellitus.

PLoS medicine Jun 2, 2026

BACKGROUND: Retinal neurodegeneration is an early and independent feature of diabetic retinal disease and has been proposed as a window into the systemic neural consequences of diabetes, yet accessible molecular biomarkers and individualized predicti... read more

From Empirical Ratio Tuning to Mechanistic Insight: Decoding NiO-ZnO Heterojunction Effects in Gas Sensing via Explainable Machine Learning.

ACS sensors Jun 2, 2026

P-n heterostructures have been widely recognized as an effective strategy for enhancing the sensing performance of metal oxide semiconductor gas sensors. However, the regulatory mechanism underlying the NiO-ZnO composite ratio and its influence on ga... read more

Improving Kinetic Prediction and Structural-Electronic Mechanistic Coherence in the Fenton Process via a Cross-Scale Machine-Learning Framework.

Environmental science & technology Jun 2, 2026

Accurately predicting and understanding contaminant degradation kinetics in advanced oxidation processes remains challenging due to the fragmented and even contradictory structure- and electronic-driven mechanistic interpretations, which traditional ... read more

AI-Driven Design and Clinical Translation of Nucleotide-Peptide and Peptide-Drug Conjugates.

ACS biomaterials science & engineering Jun 2, 2026

While nucleotide-peptide conjugates and peptide-drug conjugates demonstrate a considerable evolution as next-generation therapeutics, the successful translation of these complex agents relies on advances in bioconjugation strategies. By anchoring nuc... read more

Characterization of vascular tortuosity throughout the murine oxygen-induced retinopathy model of ischemic retinopathy.

JCI insight Jun 2, 2026

Vascular tortuosity (VT) is a critical biomarker of disease progression and decision to treat ischemic retinal disorders, particularly retinopathy of prematurity (ROP). The murine oxygen-induced retinopathy model is the most widely-used model of isch... read more

Large Language Models for Cholesteatoma Diagnosis: A Pathology-Validated Study.

The Journal of craniofacial surgery Jun 2, 2026

OBJECTIVES: To evaluate the diagnostic performance of the large language model (LLM) Gemini 2.5 for cholesteatoma detection using histopathology as the reference standard, and to compare its performance with that of routine radiologic assessment. A s... read more

Artificial Intelligence Medical Compendium