AI Medical Compendium

Predicting late radiation-associated neurocognitive and endocrine toxicity in patients with brain tumors.

Journal of neuro-oncology May 28, 2026

PURPOSE: Neurocognitive and endocrine dysfunction are potential complications of cranial irradiation. However, risk factors are poorly understood, impeding accurate prognostication and exploration of potential preventive interventions. The objective ... read more

Quantum Machine Learning for Biomedical Classification Problems: A Feasibility Study on Real Quantum Hardware.

Annals of biomedical engineering May 28, 2026

PURPOSE: Recent advances in quantum computing offer opportunities to explore alternative methods for the solution of classification problems commonly found in biomedical research. This study investigates the feasibility of using quantum kernel-based ... read more

Fully automatic left ventricle segmentation in [Formula: see text]Rb PET/CT Using a semi-supervised nnU-net.

EJNMMI research May 28, 2026

BACKGROUND: Quantification of myocardial blood flow (MBF) with [Formula: see text]Rb PET/CT requires accurate delineation of the left ventricle (LV). Manual or semi-automated contouring remains time-consuming and error-prone, particularly in hypoperf... read more

Morphometric characterization and decision tree-based prediction of phenotypic traits in Pantaneiro sheep.

Tropical animal health and production May 28, 2026

The Pantaneiro sheep is a locally adapted genetic resource shaped by the seasonal flooding, thermal stress, and heterogeneous forage availability of the Brazilian Pantanal. Characterizing its morphological structure using objective and field-applicab... read more

Statistical methods for retrospective harmonization of longitudinal epidemiological data: a scoping review.

European journal of epidemiology May 28, 2026

Data harmonization is a prerequisite for joint cohort analyses. In this review, we aim to identify and contrast statistical methods for retrospective harmonization of longitudinal data. We performed a scoping review following the Preferred Reporting ... read more

Engineering Bacillus Subtilis for Efficient Biosynthesis of Riboflavin: Current Knowledge and Future Perspectives.

Applied biochemistry and biotechnology May 28, 2026

Riboflavin is an essential water-soluble vitamin that serves as a precursor for the biosynthesis of the flavin cofactors FMN and FAD, which play pivotal roles in numerous redox and energy metabolism reactions. With the growing global demand for susta... read more

Animal production under climate change: a global scientometric analysis of research structure, thematic evolution, and knowledge gaps.

Tropical animal health and production May 28, 2026

Climate change is a major driver of transformation in livestock systems; however, existing reviews remain fragmented, often addressing environmental impacts or adaptation strategies in isolation, without systematically integrating the structure, evol... read more

RAS pathway activity subtypes identified by machine learning define prognostic and immune microenvironment characteristics in lung adenocarcinoma.

Discover oncology May 28, 2026

BACKGROUND: Lung adenocarcinoma (LUAD), the predominant histological subtype of non-small cell lung cancer, remains a leading cause of cancer-related mortality worldwide. The RAS signaling pathway plays a critical role in LUAD pathogenesis; however, ... read more

ProtoFlow: interpretable and robust surgical workflow modeling with learned dynamic scene graph prototypes.

International journal of computer assisted radiology and surgery May 28, 2026

PURPOSE: Detailed surgical recognition is critical for advancing AI-assisted surgery, yet progress is hampered by high annotation costs, data scarcity, and a lack of interpretable models. While scene graphs offer a structured abstraction of surgical ... read more

Enhancing resolution and image quality in musculoskeletal MRI using deep learning reconstruction.

European radiology experimental May 28, 2026

OBJECTIVE: Deep learning-based noise reduction enhances image quality, overcoming the tradeoff among acquisition time, spatial resolution, and signal-to-noise ratio (SNR). We implemented deep learning reconstruction (DLR) into a 1.5-T musculoskeletal... read more

Artificial Intelligence Medical Compendium