AI Medical Compendium

Hemorrhage Segmentation in Fundus Images Using the U-Net 3+ Model: Performance Comparison Across Retinal Regions.

Journal of imaging informatics in medicine Jan 21, 2026

Diabetic retinopathy (DR) is one of the most common complications of diabetes, and timely detection of retinal hemorrhages is essential for preventing vision loss. This study evaluates the U-Net3 + model for pixel-level hemorrhage segmentation in fun... read more

A machine learning approach for predicting osmotic coefficients and deriving activity coefficients in alkyl ammonium salts.

Scientific reports Jan 21, 2026

Quaternary Ammonium Salts (Quats) have diverse applications across various domains. They are extensively used as phase-transfer catalysts (PTCs) in chemical reactions, facilitating the transfer of reactants between aqueous and organic phases. Their u... read more

ASTRID-Net: SE-enhanced triple attention deep learning framework for IoT and IIoT security.

Scientific reports Jan 21, 2026

The Internet of Things (IoT) and Industrial IoT (IIoT) have rapidly evolved, reshaping modern industries through intelligent automation and seamless real-time connectivity. Additionally, the inherent heterogeneity, limited resources, and distributed ... read more

An artificial intelligence-driven synthesis planning platform (PhotoCat) for photocatalysis.

Communications chemistry Jan 21, 2026

While photocatalysis has emerged as a transformative tool in modern synthesis, AI-assisted reaction prediction faces significant challenges due to data limitations. We present PhotoCatDB - a curated, open-source database containing 26.7 K photocataly... read more

A Causal and interpretable machine learning framework for postcranioplasty risk prediction and surgical decision support.

NPJ digital medicine Jan 21, 2026

Cranioplasty is associated with a substantial burden of postoperative complications. In this multicenter study, we developed a machine learning-based clinical decision-support tool to predict the risk of postoperative complications following craniopl... read more

Detecting faulty lithium-ion cells in large-scale parallel battery packs using current distributions.

Communications engineering Jan 21, 2026

One of the main concerns affecting the uptake of battery packs is safety, particularly with respect to fires caused by cell faults. Mitigating possible risks from faults requires advances in battery management systems and an understanding of the dyna... read more

Editorial comment on "Artificial intelligence reading of cystometric traces provides good correlation with human diagnosis".

World journal of urology Jan 21, 2026

Retrieval Augmented Generation (RAG) for Natural Language Querying of Immunogenicity Data for Protein Drugs.

The AAPS journal Jan 21, 2026

To evaluate the strengths and limitations of retrieval-augmented generative (RAG) artificial intelligence (AI) for natural language querying of biologics immunogenicity data. The package inserts for drugs approved with biologics license applications ... read more

CT-based Prediction of Visceral Pleural Invasion in Lung Adenocarcinoma ≤ 3 cm: Enhancing Deep Learning Specificity by Waiving Chest Wall Information.

Annals of surgical oncology Jan 21, 2026

BACKGROUND: Accurate preoperative prediction of visceral pleural invasion (VPI) in lung adenocarcinoma is essential for guiding surgical decision-making. However, existing prediction models often sacrifice specificity when optimized for high sensitiv... read more

Spatial-Spectral Deep Learning for Prostate Cancer Tissue Classification in Infrared Spectroscopy.

Analytical chemistry Jan 21, 2026

Modern methods of infrared (IR) spectroscopy yield full IR absorbance spectra in arrays, forming hyperspectral images. End-to-end processing of these images via deep learning seems ideal for exploiting their high dimensionality and wealth of spatial ... read more

Artificial Intelligence Medical Compendium