AI Medical Compendium

Radiological and biological dictionary of radiomics features: addressing understandable AI issues in personalized breast cancer; dictionary version BM1.0.

Physics in medicine and biology Jan 22, 2026

Objective.Radiomics-based artificial intelligence (AI) models show potential in breast cancer diagnosis but lack interpretability. This study bridges the gap between radiomic features (RFs) and Breast Imaging Reporting and Data System (BI-RADS) descr... read more

CNN-CBAM prediction model for moisture content determination of raw materials for wood-based panels based on near-infrared spectroscopy.

Analytical methods : advancing methods and applications Jan 22, 2026

Wood moisture content critically influences the performance and processing quality of wood-based panels. Therefore, precise and rapid prediction of wood moisture content is essential for enhancing production efficiency and ensuring product quality. I... read more

Review of flow cytometry findings and associated scoring approaches for identifying myelodysplastic syndrome and the future role of machine learning in improving the diagnostic algorithm.

American journal of clinical pathology Jan 22, 2026

OBJECTIVE: Myelodysplastic syndrome (MDS) is a heterogeneous set of neoplasms that require careful exclusion of potential mimics before diagnosis. In the absence of identified recurrent cytogenetic or molecular genetic alterations, low-grade MDS can ... read more

Refined query network (RQNet) for precise MRI segmentation and robust TED activity assessment.

Physics in medicine and biology Jan 22, 2026

Objective.To develop an efficient deep learning framework for precise three-dimensional (3D) segmentation of complex orbital structures in multi-sequence magnetic resonance imaging (MRI) and robust assessment of thyroid eye disease (TED) activity, th... read more

The Future of Non-muscle-invasive Bladder Cancer: Towards a Molecular-Digital Paradigm for Personalized Management.

European urology focus Jan 22, 2026

The management of non-muscle-invasive bladder cancer (NMIBC) is undergoing a major paradigm shift driven by molecular biomarkers, artificial intelligence (AI), and a better understanding of the tumor microenvironment and bladder microbiome. Tradition... read more

Corrigendum to 'Predictions of Response in Non-small Cell Lung Cancer Patients Treated with Immune Checkpoint Inhibitors Using Clinical Data, Deep Learning, and Radiomics' [Acad Radiol 33 (2026) 236-254].

Academic radiology Jan 22, 2026

A review of current applications of photon-counting CT in musculoskeletal imaging.

Diagnostic and interventional imaging Jan 22, 2026

Photon-counting computed tomography (PCCT) is a significant technological advancement in musculoskeletal imaging. Unlike traditional CT detectors, which are energy-integrating detectors, PCCT uses direct-conversion technology, or photon-counting dete... read more

Associations between contralesional neuroplasticity and motor impairment through deep learning-derived MRI regional brain age in chronic stroke (ENIGMA): a multicohort, retrospective, observational study.

The Lancet. Digital health Jan 22, 2026

BACKGROUND: Stroke leads to complex chronic structural and functional brain changes that specifically affect motor outcomes. The brain predicted age difference (PAD) has emerged as a sensitive biomarker of both sensorimotor and cognitive function aft... read more

Application of convolutional neural networks for nasofacial reconstruction.

The Journal of prosthetic dentistry Jan 22, 2026

STATEMENT OF PROBLEM: The nasal prosthesis is an artificial solution to the restoration of tissue in the nasal region, traditionally requiring time-intensive manual sculpting directly on the patient's face. Whether a novel, automated approach using C... read more

Automatic cell type identification methods for single-cell RNA sequencing based on coordinate convolutional neural network.

Computational biology and chemistry Jan 22, 2026

Cell type identification is a fundamental step in the analysis of single-cell RNA sequencing (scRNA-seq) data. Among the various classification tools, support vector machine (SVM) classifiers have traditionally demonstrated strong overall performance... read more

Artificial Intelligence Medical Compendium