AI Medical Compendium

Optimal management of oligometastatic prostate cancer: current state and future directions.

Current opinion in oncology Feb 20, 2026

PURPOSE: Oligometastatic prostate cancer (oligoPCa) represents a clinical state of limited metastatic spread in which metastasis-directed therapy (MDT) may offer meaningful disease control either alone or with systemic therapy. As imaging, systemic t... read more

Electron spectra measurements in linear accelerators via neural network reconstruction from percentage depth dose (PDD) data.

Applied radiation and isotopes : including data, instrumentation and methods for use in agriculture, industry and medicine Feb 20, 2026

This work presents a novel methodology for the indirect measurement of electron energy spectra produced by a linear accelerator, in which artificial neural networks are applied to solve a first-kind Fredholm integral equation linking percentage depth... read more

Emerging trends and converging evidence in tumor evolution: A comprehensive review.

Drug resistance updates : reviews and commentaries in antimicrobial and anticancer chemotherapy Feb 20, 2026

BACKGROUND: Tumor evolution is a spatiotemporal dynamic process orchestrated by the interplay of genetic mutations, epigenetic reprogramming, and bidirectional microenvironmental interactions, which collectively generate the phenotypic diversity nece... read more

CL-MHAD: Contrastive Learning-based Multi-Hypergraph Aggregation and Diffusion model for prescription recommendation.

Artificial intelligence in medicine Feb 20, 2026

Multiple syndrome-based prescription recommendations are significant for personalized diagnosis and treatment in Traditional Chinese Medicine (TCM). However, it remains a challenge to effectively extract and fuse multi-dimensional knowledge in herbs ... read more

A machine learning model for predicting adverse prognostic events in patients with neurosyphilis: Results from the DEFEAT-NS study.

iScience Feb 20, 2026

Identifying patients at highest risk of serious adverse prognostic events (AE) in neurosyphilis could enable risk-stratified treatment beyond clinical judgment. We developed machine-learning models using electronic health records from six Chinese inf... read more

Machine learning-enhanced identification of fluorophilic interactions for improved SERS detection of PFOA.

Environmental science. Nano Feb 20, 2026

Per- and polyfluoroalkyl substances (PFASs), such as the legacy C8 compound perfluorooctanoic acid (PFOA), pose significant environmental and health risks due to their persistence and widespread use. While surface-enhanced Raman spectroscopy (SERS) h... read more

Unsupervised domain adaptation for medical image segmentation using adaptogen-perturbation.

Medical image analysis Feb 19, 2026

Domains shift originated from differences in devices or patients in the medical field, poses a significant challenge when applying pre-trained models to clinical applications. To tackle this challenge, domain adaptation methods have been explored. Ho... read more

On the importance of white-box machine learning models in psychiatry: An example predicting suicidality in depression.

Psychiatry research Feb 19, 2026

Non-invasive prediction of Ki-67 expression in gastric cancer using AI-based dual-energy CT: a multicenter study.

European journal of radiology Feb 19, 2026

OBJECTIVE: To develop and validate a machine learning model based on quantitative parameters of dual-energy CT (DECT) virtual monoenergetic images (VMIs) for the noninvasive preoperative prediction of Ki-67 expression status in gastric cancer. METHOD... read more

Multi-branch convolutional neural network and intracranial EEG high-frequency oscillations predict post-surgical seizure outcomes.

Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology Feb 19, 2026

OBJECTIVE: Pathological High-Frequency Oscillations (HFOs) identify epileptogenic cortex, but their surgical utility is unproven. Current epilepsy surgery planning relies on a "gold standard" multidisciplinary consensus. We tested if a Convolutional ... read more

Artificial Intelligence Medical Compendium