AI Medical Compendium

Fetal health classification: a deep learning model with enhanced interpretability and lightweight deployment.

Medical & biological engineering & computing Apr 6, 2026

Integrative Machine-Learning Molecular Subtyping and Risk Scores of Circadian Rhythm-Related Prognostic Signatures in Colorectal Cancer.

Journal of gastrointestinal cancer Apr 6, 2026

Artificial intelligence-based segmentation of perisinusoidal tissue along the superior sagittal sinus in human brain magnetic resonance imaging.

Neuroradiology Apr 6, 2026

Comment on "Recognizing uric acid type of urinary stones by deep learning": strengthening the reference standard and the image-to-label pipeline for reproducibility.

Urolithiasis Apr 6, 2026

Deep learning reconstruction for 40-keV virtual monoenergetic CT of colon cancer: evaluation of image quality and edge sharpness.

Abdominal radiology (New York) Apr 6, 2026

BACKGROUND: Virtual monoenergetic imaging (VMI) at 40 keV improves iodine attenuation in colon cancer CT but is constrained by severe image noise. Deep learning image reconstruction (DLIR) may address this limitation, but its effect on anatomical edg... read more

Fine-scale mangrove species monitoring and ecological threshold assessment for coastal management in Quanzhou Bay, China.

Environmental monitoring and assessment Apr 6, 2026

Reliable species-level monitoring of mangrove ecosystems is increasingly required for environmental assessment and regulatory decision-making, yet a methodological gap persists between remote sensing outputs and ecological risk evaluation. This study... read more

MGPP-DL: deep learning approach for material graph properties prediction.

Journal of molecular modeling Apr 6, 2026

CONTEXT: The discovery of semiconductor materials for photovoltaic and optoelectronic applications is limited by the computational cost of DFT calculations and the requirement for complete 3D crystal structures. Existing deep learning approaches, inc... read more

Retinal image-based cardiovascular risk prediction using AI-CRS: a multi-modal deep learning framework.

International ophthalmology Apr 6, 2026

This study presents AI-CRS, an AI-driven deep learning framework for cardiovascular risk assessment using retinal images. By combining convolutional neural networks (CNNs), attention mechanisms, and vasculature segmentation, AI-CRS overcomes the limi... read more

A Review of Automatic Hair Removal in Dermoscopy Images: From Image Processing to Deep Learning.

Journal of imaging informatics in medicine Apr 6, 2026

Early melanoma detection is made possible by dermoscopy, but automated analysis and clinical evaluation are often hampered by hair artifacts in images. Although hair removal is critical for accurate diagnosis, it has frequently been treated as a mino... read more

Examining Ethnic and Racial Variations in Opioid-related Hospitalizations Using Western U.S. Electronic Health Records.

Journal of racial and ethnic health disparities Apr 6, 2026

Artificial Intelligence Medical Compendium

Fetal health classification: a deep learning model with enhanced interpretability and lightweight deployment.

Integrative Machine-Learning Molecular Subtyping and Risk Scores of Circadian Rhythm-Related Prognostic Signatures in Colorectal Cancer.

Artificial intelligence-based segmentation of perisinusoidal tissue along the superior sagittal sinus in human brain magnetic resonance imaging.

Comment on "Recognizing uric acid type of urinary stones by deep learning": strengthening the reference standard and the image-to-label pipeline for reproducibility.

Deep learning reconstruction for 40-keV virtual monoenergetic CT of colon cancer: evaluation of image quality and edge sharpness.

Fine-scale mangrove species monitoring and ecological threshold assessment for coastal management in Quanzhou Bay, China.

MGPP-DL: deep learning approach for material graph properties prediction.

Retinal image-based cardiovascular risk prediction using AI-CRS: a multi-modal deep learning framework.

A Review of Automatic Hair Removal in Dermoscopy Images: From Image Processing to Deep Learning.

Examining Ethnic and Racial Variations in Opioid-related Hospitalizations Using Western U.S. Electronic Health Records.

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