AI Medical Compendium

Artificial Intelligence Is Reshaping the Face of Dentistry.

Dental clinics of North America Feb 6, 2026

Graph adiabatic diffusion neural networks for distribution-shift breast tumor image classification.

Neural networks : the official journal of the International Neural Network Society Feb 6, 2026

Breast tumor images show low intra-class similarity and suffer from distribution shift, posing challenges for recognition tasks. While increasing the number of labeled training data is a common strategy to improve performance, the high cost of expert... read more

A bias-corrected ensemble model for quantifying additive content variations in complex lubricant systems.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy Feb 6, 2026

The concentration of functional additives in lubricants is a critical parameter determining their tribological performance and service life. To achieve rapid and accurate detection of trace additive concentrations in lubricating oils, this study prop... read more

Machine learning in precision oncology: a rough diamond waiting to shine?

Clinical chemistry and laboratory medicine Feb 6, 2026

Fully automated volumetry of ventricular subregions on computed tomography using object detection and semantic segmentation.

Neuroimage. Reports Feb 6, 2026

BACKGROUND: Our goal was to develop and validate machine learning models that are capable of fully automatic identification and segmentation of frontal, temporal, and posterior horns, the body of the lateral ventricle, the third and fourth ventricle,... read more

An annotated dataset of images of Chinese giant salamanders.

Data in brief Feb 6, 2026

The Chinese giant salamander is classified as a Class II protected species in China and is recognized as critically endangered by the International Union for Conservation of Nature (IUCN). Due to their unique behavioral patterns, wild Chinese giant s... read more

Multimodal perishable fruits and vegetables dataset.

Data in brief Feb 6, 2026

There is a growing need in the agricultural industry for non-invasive methods to classify the freshness and quality of produce. To address this, we developed a multimodal dataset comprising six commonly exported fruits and vegetables from India: guav... read more

Machine learning model predicts prognosis in SARS-CoV-2-infected autoimmune encephalitis patients.

Multiple sclerosis and related disorders Feb 6, 2026

OBJECTIVE: To assess the neurological prognosis of patients with autoimmune encephalitis (AE) after severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection and construct risk prediction models for a worse prognosis. METHODS: This was a... read more

Protocol for non-invasive tumor monitoring and diagnosis based on interpretable deep learning.

STAR protocols Feb 6, 2026

Tumor-specific DNA methylation profiling in plasma cell-free DNA (cfDNA) offers a promising approach for non-invasive tumor detection. Here, we present a protocol that uses Oncoder, an interpretable deep-learning-based framework, to monitor treatment... read more

Profiling reasons for non-attendance in psychological assessments in adolescent suicide at-risk group using natural language processing.

Child abuse & neglect Feb 6, 2026

BACKGROUND: Non-attendance at follow-up psychological evaluations is a major barrier to care for adolescents at risk of suicide. Identifying the factors associated with non-attendance is essential to improving engagement with mental health services. ... read more

Artificial Intelligence Medical Compendium