AI Medical Compendium

Kernel-based dynamic ensemble approach for classifying imbalanced data with overlapping classes.

Scientific reports Apr 30, 2026

In many real-world applications, binary and multi-class classification problems involving imbalanced data and overlapping boundaries present a significant challenge for traditional machine learning algorithms. In this paper we propose a Dynamic Ensem... read more

Microstructure-informed constitutive modeling of granular media under multidirectional loading: From particle-scale to continuum.

Communications engineering Apr 30, 2026

Simulating the response of granular materials under realistic loading scenarios is essential for ensuring the reliability of geotechnical infrastructure. This task is particularly challenging because natural soils exhibit inherently non-uniform parti... read more

Predicting survival of Hodgkin lymphoma using machine learning-an analysis based on the SEER database.

Annals of hematology Apr 30, 2026

OBJECTIVES: This study aimed to develop an effective model for predicting Hodgkin lymphoma (HL) prognosis as to assist clinicians in making optimal clinical decisions. METHODS: This study screened HL patients from the Surveillance, Epidemiology, and ... read more

Unsupervised clustering analysis reveals distinct postoperative cortisol trajectories following pituitary adenoma resection in Cushing's disease.

Journal of neuro-oncology Apr 30, 2026

Multi omics and mechanistic investigation reveals CBFB as a prognostic biomarker in gastric cancer.

Discover oncology Apr 30, 2026

BACKGROUND: Gastric cancer is an aggressive malignancy with poor prognosis due to complex pathogenesis, underscoring the need for biomarkers and targets. Core Binding Factor Beta Subunit (CBFB) has regulatory roles across cancers and shows promise, b... read more

Lipid abnormalities in chronic viral hepatitis: associations and machine learning-enhanced prediction.

BMC gastroenterology Apr 30, 2026

Evaluation of panoramic radiography for artificial intelligence-based assessment of impacted maxillary canines using cone-beam computed tomography as reference.

BMC oral health Apr 30, 2026

OBJECTIVES: To develop and evaluate a deep learning (DL)-based artificial intelligence (AI) framework for the comprehensive assessment of impacted maxillary canines, including positional classification, buccal-palatal localization, and detection of a... read more

Co-research in the development of AI and digital health tools for cancer management and care: a systematic review.

BMC health services research Apr 30, 2026

BACKGROUND: Participatory approaches (including co-research, co-design, Patient and Public Involvement [PPI], and Participatory Action Research [PAR]) are increasingly being incorporated into digital health innovation. However, their application in c... read more

Machine learning-based prediction model for paresthesia improvement after open carpal tunnel release: a preliminary study.

BMC musculoskeletal disorders Apr 30, 2026

BACKGROUND: Carpal tunnel syndrome (CTS) is the most common entrapment neuropathy of the hand. While carpal tunnel release surgery generally provides good outcomes, some patients continue to experience persistent paresthesia postoperatively. This stu... read more

Embedding multilayer RNA networks for lncRNA-miRNA interaction prediction via LMI-MHGAT.

BMC biology Apr 30, 2026

BACKGROUND: The identification of lncRNA-miRNA interactions (LMIs) is crucial for deciphering post-transcriptional regulatory networks and their roles in development and disease. While computational methods have been developed to predict LMIs, existi... read more

Artificial Intelligence Medical Compendium