AI Medical Compendium

Utility of breath-hold half-Fourier single-shot turbo spin-echo with deep learning-based reconstruction for acquiring fat-suppressed T2-weighted images of the pancreas.

European journal of radiology open Feb 23, 2026

PURPOSE: To determine the best technique for acquiring fat-suppressed T2-weighted images (FS-T2WI) of the pancreas, in terms of acquisition time and image quality, among conventional respiratory-gated turbo spin echo (RG-TSE), research breath-hold TS... read more

Machine learning models enhance detection of arrhythmogenic right ventricular cardiomyopathy.

Machine learning. Health Feb 23, 2026

Arrhythmogenic right ventricular cardiomyopathy (ARVC) is a heritable cardiac disorder associated with sudden cardiac death, yet its diagnosis remains slow, resource-intensive, and dependent on expert interpretation of multimodal tests. Machine learn... read more

Reliable detection of focal onset impaired awareness seizures in patients with epilepsy using wearable ECG: Development and validation study.

Computer methods and programs in biomedicine Feb 23, 2026

BACKGROUND: Underreporting of seizures, particularly focal onset impaired awareness seizures (FIAS), compromises the effectiveness of patient care and condition management in patients with epilepsy. Traditional reliance on patient self-reporting can ... read more

ALDH1L2 induces resistance to chemotherapy in small cell lung cancer by inhibiting ferroptosis.

Redox biology Feb 23, 2026

Small cell lung cancer (SCLC) is known for its rapid growth and early metastasis, and SCLC patients are highly susceptible to chemoresistance. Studies have shown that the combination of ferroptosis induction and TRX pathway inhibition can significant... read more

Familial colorectal cancer: risk factors, screening strategies and personalized medicine.

Cancer genetics Feb 23, 2026

Colorectal cancer (CRC) remains a leading cause of cancer-related mortality worldwide, with approximately 25-30 % of cases exhibiting a familial component driven by germline mutations in DNA mismatch repair genes (Lynch syndrome) or the APC gene (fam... read more

Digital materials ecosystem: from databases to AI agents for autonomous discovery.

Chemical science Feb 23, 2026

The concept of a digital materials ecosystem represents a new paradigm in materials research, where data, theory, and automation are integrated into a unified and iterative framework. By combining reliable databases, physical frameworks, and intellig... read more

Transfer learning of GW Bethe-Salpeter equation excitation energies.

Chemical science Feb 23, 2026

A persistent challenge in machine learning for electronic-structure calculations is the sharp imbalance between abundant low-fidelity data like (time-dependent) density functional theory [(TD)DFT] results and the scarcity of high-fidelity data like m... read more

Mitigating OOD overoptimism via in-sample value function in offline reinforcement learning.

Neural networks : the official journal of the International Neural Network Society Feb 23, 2026

Offline Reinforcement Learning (RL) was proposed to learn from pre-recorded decision data without online interactions. In this setting, evaluating out-of-distribution (OOD) actions accurately is challenging, often leading to over-optimistic estimatio... read more

Strontium isotopes in food traceability: Mechanisms, applications, and integration with machine learning.

Food chemistry Feb 23, 2026

Food provenance is crucial to ensuring authenticity, safety, and quality throughout the global supply chain. Strontium (Sr) isotopes have emerged as a robust tool due to their strong link with geological backgrounds and their stability during food pr... read more

Dual selective gleason pattern-aware multiple instance learning with uncertainty regularization for grade group prediction in histopathology images.

Medical image analysis Feb 23, 2026

Accurate prediction of Gleason Grade Group (GG) is of great importance for prostate cancer risk stratification and treatment planning. Although multiple instance learning (MIL) methods have advanced Gleason grading, most existing studies overlook the... read more

Artificial Intelligence Medical Compendium