Artificial Intelligence Medical Compendium

Explore the latest research on artificial intelligence and machine learning in medicine.

Showing 16,581 to 16,590 of 213,568 articles

Rapid slide-level assessment of glomerular yield using virtual staining of unstained renal biopsy sections.

Diagnostic pathology
BACKGROUND: Renal biopsy remains the gold standard for the diagnosis of kidney diseases, and specimen adequacy is essential for reliable histopathological evaluation. However, confirmation of glomerular yield in routine pathology workflows often reli... read more 

Machine learning framework for cost effective deep mutational scanning through targeted substitution profiling.

BMC bioinformatics
BACKGROUND: Deep mutational scanning (DMS) provides comprehensive maps of protein variant effects but remains experimentally intensive. Machine learning (ML) approaches have the potential to reduce experimental burden of DMS by predicting the functio... read more 

Preliminary machine-learning model with clinical, US, and CEUS features for the diagnosis of thyroid follicular-patterned lesions.

BMC medical imaging
BACKGROUND: Though follicular thyroid carcinoma can be confirmed postoperatively by the histological findings of capsular or vascular invasion, preoperative diagnosis of follicular-patterned lesions has long been a diagnostic challenge. This study se... read more 

Habitat analysis and other AI technologies for Ki-67 prediction in hepatocellular carcinoma: a multi-center study.

BMC cancer
OBJECTIVES: To develop various artificial intelligence (AI) models including radiomics, deep transfer learning (DTL) and habitat analysis models, as well as a combined model, for the preoperative noninvasive prediction of Ki-67 expression in hepatoce... read more 

Integrative interpretable learning reveals shared patterns of epitranscriptomic regulation across multiple cancer types.

BMC biology
BACKGROUND: Cancer is a complex set of diseases caused by the dysregulation of cell proliferation, differentiation, and apoptosis, ultimately leading to malignant tumor development and metastasis. Recent studies have revealed that dysregulation of N4... read more 

Applications of bioimpedance measurement in clinical and allied fields: a comprehensive review.

Biomedical engineering online
BACKGROUND: Accurate and timely disease detection is essential in modern healthcare. Conventional imaging methods such as computed tomography (CT), magnetic resonance imaging (MRI), and dual-energy X-ray absorptiometry (DXA) offer valuable diagnostic... read more 

KmalPred: a deep learning framework for lysine malonylation site prediction using protein language model representations.

BMC biology
BACKGROUND: Lysine malonylation (Kmal) is a reversible post-translational modification involved in metabolic regulation and other essential biological processes across diverse species. Accurate identification of Kmal sites is important for understand... read more 

Novel molecular design via a scaffold-aware transformer with multi-scale attention mechanisms.

Journal of cheminformatics
Recent advancements in artificial intelligence have demonstrated enhanced potential in accelerating drug discovery by exploring vast chemical spaces and predicting molecular properties. In particular, scaffold-constrained molecular generation has ena... read more 

Artificial intelligence and neurodegeneration: state of the art and explainability.

International journal of retina and vitreous
BACKGROUND: Alzheimer disease (AD) and Parkinson disease (PD) are an increasing healthcare concern and growing cause of disability in our century. The advent of the artificial intelligence (AI) era and the early changes in retina and optic nerve morp... read more 

Re: Clarifying comparative claims in digital cognitive assessment: Assessing concurrent validity in a shared cohort.

Alzheimer's research & therapy
In response to correspondence from Cognivue, Inc. regarding our publication (Jannati et al., 2025), we clarify that our analysis employed a rigorous paired-sample design using the same 930 participants from the Bio-Hermes-001 study for both the Digit... read more