AI Medical Compendium

Medical image pretraining-based transfer learning for generalizable and robust diagnosis of bone tumors on radiographs: a multi-center study.

Insights into imaging Apr 7, 2026

OBJECTIVES: To develop a generalizable and robust deep learning model for bone tumor classification in radiographs by leveraging domain-specific medical image pretraining. MATERIALS AND METHODS: This retrospective multi-center study included 2338 pat... read more

Beyond identification: inferring physical activity from fingerprint lipids using machine learning.

Analytical methods : advancing methods and applications Apr 7, 2026

Fingerprints are a widely recognized form of forensic evidence, valued for their ability to link individuals with specific locations. Traditional fingerprint analysis relies on optical imaging to identify a match in a fingerprint database; however, w... read more

Vessel-density distribution mapping on portal venous CT and deep learning for 2-year overall survival risk stratification after transarterial chemoembolization in hepatocellular carcinoma.

Abdominal radiology (New York) Apr 7, 2026

Patch Uniform Fusion Transformer with circle-inspired optimized walrus-based feature selection for high-dimensional data analysis.

Journal of molecular modeling Apr 7, 2026

PURPOSE: Feature selection approaches have historically been limited by processing performance during high-dimensional data analysis, which presents additional inefficiencies when dealing with bigger datasets. Hybrid search methods are also great and... read more

Classifying Sleep Slow Oscillations in Low Density EEG.

Neuroinformatics Apr 7, 2026

Integrated approach for arsenic prediction and health risk evaluation in community tube wells installed by public health department: comparative study of random forest, extreme gradient boosting, and deep neural networks.

Environmental geochemistry and health Apr 7, 2026

Arsenic contamination in groundwater poses a significant public health risk, especially in developing countries with inadequate water quality monitoring systems. This study employs advanced machine learning approaches to assess arsenic pollution in 2... read more

Artificial Intelligence Powered Wearable and Portable Devices for Remote Cardiac Care and Population Health.

Current cardiology reports Apr 7, 2026

Automated contrast-to-noise ratio analysis in chest CT: validation of an open-source segmentation approach.

Insights into imaging Apr 7, 2026

OBJECTIVES: This study aimed to evaluate the feasibility and accuracy of automated contrast-to-noise ratio (CNR) analysis in chest CT using the open-source body and organ analysis (BOA) framework and to validate segmentation modifications for reprodu... read more

Underlying Framework of All-optical Controlled Synaptic Devices for Neuromorphic Computing.

Nano-micro letters Apr 7, 2026

The rapid expansion of artificial intelligence has led to significant challenges in energy consumption and computational efficiency. To address these issues, the exploration and development of all-optical controlled (AOC) synaptic devices represents ... read more

A novel predictive model for evaluating thrombus regression in postpartum venous thromboembolism patients.

International journal of clinical pharmacy Apr 7, 2026

INTRODUCTION: Antithrombotic evaluation of postpartum venous thromboembolism (VTE) after anticoagulant therapy is challenging because of the lack of high-quality clinical evidence. AIM: To identify and validate a machine learning model to predict thr... read more

Artificial Intelligence Medical Compendium