Artificial Intelligence Medical Compendium

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

Showing 29,821 to 29,830 of 219,931 articles

Indispensable tools of critical care management: blood gas analyzers.

Scandinavian journal of clinical and laboratory investigation
Blood gas analysis remains one of the most indispensable diagnostic tools in critical care, yet increasing automation often obscures its analytical foundations and limitations. This review provides an integrated perspective by tracing the evolution o... read more 

Incorporating artificial intelligence into morphological diagnosis of acute leukemias: Current landscape, challenges and prospects (Review).

Oncology reports
Acute leukemias (ALs) are a diverse group of hematological malignancies characterized by the abnormal proliferation of immature cells. Microscopic observation of cell morphology based on the French‑American‑British classification remains a fundamenta... read more 

Novel therapeutic strategies for metastatic castration‑resistant prostate cancer: Beyond androgen receptor pathway inhibition (Review).

International journal of oncology
Metastatic castration‑resistant prostate cancer (mCRPC) remains a lethal disease due to universal resistance to androgen‑receptor pathway inhibitors (ARPI). Tumor progression is orchestrated by a spectrum of androgen‑receptor‑independent drivers, inc... read more 

NetMHCIIphosPan: A Machine Learning Tool for Predicting HLA Class II Antigen Presentation of Phosphorylated Peptides.

Journal of proteome research
Phosphorylated peptides presented by human leukocyte antigen (HLA) class II molecules play pivotal roles in immune regulation, yet their characterization and prediction remain challenging due to data noise and limited HLA coverage. Here, we introduce... read more 

Explainable Machine Learning Guided Enhanced Sampling of Protein Conformational Transition in HSP90.

Journal of chemical theory and computation
Elucidating the thermodynamics, kinetics, and mechanisms of protein conformational transitions remains a longstanding challenge in molecular dynamics simulations. We employ enhanced sampling simulations using explainable machine-learning (ML)-based c... read more 

Application of an open-source AI tool for quantitative quality control in whole slide images of prostate needle core biopsies - a retrospective study.

Journal of histotechnology
The quality of Whole Slide Images (WSI) is a determining factor for proper diagnosis and prognosis, and for enhanced performance of Digital and Computational Pathology. In a context where diagnoses are increasingly quantitative, an automated, precise... read more 

Evaluation of AI-Generated Surgical Decision Aids for Pelvic Floor Disorders.

Urogynecology (Philadelphia, Pa.)
IMPORTANCE: Decision aid tools are well-utilized resources in shared decision making for the treatment of pelvic floor disorders. With the improvement of large language models like ChatGPT, prior studies have started evaluating whether artificial int... read more 

Machine Learning-Driven Ensemble Screening of Multitarget Kinase Inhibitors for Tauopathy-Associated Neurodegeneration Using All-Atom and Steered MD Simulations.

ACS chemical neuroscience
Tauopathies arise when normal functions of the tau protein in axonal transport and neuronal maintenance are disrupted by an imbalance between kinases and phosphatases. Dysregulation of key kinases such as dual-specificity Tyrosine-Regulated Kinase 1A... read more 

DANCE: Deep Learning-Assisted Analysis of ProteiN Sequences Using Chaos Enhanced Kaleidoscopic Images.

Journal of computational biology : a journal of computational molecular cell biology
Cancer is a complex disease characterized by uncontrolled cell growth and requires an accurate classification for effective treatment. T cell receptors (TCRs), crucial proteins in the immune system, play a pivotal role in antigen recognition. Advance... read more 

Plasmonic hot-electron-assisted ultra-stretchable hydrogel electrodes for wearable cardiovascular monitoring and AI-driven predictive analytics.

Journal of materials chemistry. B
Wearable bioelectronic systems require soft, deformable materials that maintain high electrical conductivity and reliable interfacial charge transport under large mechanical strains. However, most existing hydrogel- or elastomer-based conductors invo... read more