AI Medical Compendium

Substructure-guided Deep Graph Learning in Molecular Toxicity Prediction.

IEEE journal of biomedical and health informatics Apr 23, 2026

Computational toxicity prediction has become a key component in modern drug discovery. Although machine learning or deep learning techniques have reformed this field in recent years, more in-depth studies on addressing data imbalance, missing labels,... read more

SAM2HIPT: A hybrid deep learning framework integrating SAM2 and HIPT with joint loss optimization for immunohistochemical cell nucleus segmentation.

Biomedical physics & engineering express Apr 23, 2026

Nucleus segmentation in immunohistochemistry (IHC) images plays a critical role in cancer diagnosis and treatment assessment. However, existing methods remain limited in segmentation accuracy and boundary delineation due to staining heterogeneity, de... read more

Fast Occupational Upper-Limb Radiation Dose Prediction Using Machine Learning and Monte Carlo Simulation.

Journal of radiological protection : official journal of the Society for Radiological Protection Apr 23, 2026

OBJECTIVE: Interventional procedures expose physicians to scattered radiation, particularly to their upper extremities, posing occupational health risks. Existing extremity dosimeters such as TLDs, OSL rings and active personal dosimeters provide lim... read more

Cluster dose prediction in carbon ion therapy: Using transfer learning from a pretrained dose prediction U-Net - A proof of concept.

Biomedical physics & engineering express Apr 23, 2026

The cluster dose concept offers an alternative to the radiobiological effectiveness (RBE)based model for describing radiation-induced biological effects. This study examines the application of a neural network to predict cluster dose distributions, w... read more

Multi-model study of fast VMAT segment dose calculation with deep learning.

Physics in medicine and biology Apr 23, 2026

OBJECTIVE: Deep learning (DL) methods enable photon dose calculation under two main coordinate representations: Beam's Eye View (BEV) and patient coordinates. We evaluate dose calculation accuracy and speed under these coordinate paradigms and with r... read more

Wave-reg: Full-stage wavelet-guided image registration framework with cross-scale correction.

Physics in medicine and biology Apr 23, 2026

Complicated deformation remains a critical challenge in medical image registration. Although deep learning-based spatial domain registration networks have achieved improved accuracy and efficiency, they still suffer from irreversible information loss... read more

A multimodal fusion network for heart sound abnormality detection and classification.

Physiological measurement Apr 23, 2026

OBJECTIVE: Accurate physiological assessment of cardiac function from heart sounds remains challenging due to background noise, variable heart rates, and the need for reliable cardiac-cycle segmentation. This study aimed to develop a fully E2... read more

Target-site Dynamics Explain a Large Share of Apparent MicroRNA Differential Expression.

RNA (New York, N.Y.) Apr 23, 2026

MicroRNA (miRNA) abundance reflects a dynamic balance between biogenesis, target engagement, and decay, yet differential expression analyses typically ignore changes in target-site availability driven by alternative polyadenylation (APA). We introduc... read more

Using Large Language Models to Identify Patient-Oncologist Communication Domains: A Feasibility Study.

Journal of palliative medicine Apr 23, 2026

BACKGROUND: The American Society of Clinical Oncology (ASCO) convened a multidisciplinary panel in 2017, resulting in patient-oncologist communication guidelines. Ideally, these conversations should be documented in the medical records. However, char... read more

Machine learning analysis of continuous glucose monitoring identifies a novel dysglycemic phenotype found in most people with cystic fibrosis.

Journal of cystic fibrosis : official journal of the European Cystic Fibrosis Society Apr 23, 2026

BACKGROUND: Cystic fibrosis related diabetes (CFRD) is a common complication in people with cystic fibrosis (PwCF), yet traditional diagnostic tools such as fasting glucose, HbA1c, and the oral glucose tolerance test (OGTT) often fail to detect early... read more

Artificial Intelligence Medical Compendium