Artificial Intelligence Medical Compendium

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

Showing 58,741 to 58,750 of 227,634 articles

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
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 

Research advances and outlook of bioactive peptides: integrating artificial intelligence, molecular simulation, and instrumental analysis techniques.

Food chemistry
Due to their diverse physiological functions, bioactive peptides have attracted widespread attention in the fields of functional food development and biomedical applications. However, traditional methods for predicting and screening these peptides ar... read more 

Gradients not needed: ML-driven propagation of nonadiabatic molecular dynamics without reference gradients.

Chemical science
The recent development of machine learning (ML) methods for quantum chemistry has tremendously boosted the efficiency of molecular calculations. In this work, we use ML to enable nonadiabatic molecular dynamics (NAMD) simulations without access to th... read more 

Imaging mammalian lipids using desorption electrospray ionization mass spectrometry: A review.

Analytica chimica acta
Desorption electrospray ionization mass spectrometry imaging (DESI-MSI) has become an essential tool for spatial lipidomic profiling since its introduction in 2005. It provides key insights into the roles of lipids in cellular function, disease mecha... read more 

Spatial transcriptional profiling of CHB liver biopsies reveals an undetected population of zonally biased HBV-integrated cells.

JHEP reports : innovation in hepatology
BACKGROUND & AIMS: HBV covalently closed circular DNA (cccDNA) and HBV-integrated DNA (iDNA) are features of chronic HBV (CHB). Elimination of both cell populations is likely to be required for functional cure. RNA-based spatial methods, chromogenic ... read more 

Critical assessment of machine learning approaches for classification, dynamic prediction and surrogate Modeling in food fermentation.

Food research international (Ottawa, Ont.)
Machine learning (ML) is increasingly being used in food science due to its ability to extract insights from large datasets. However, the advantages of ML over traditional mechanistic knowledge-based models remain unclear, especially under the limite... read more 

Efferocytosis-associated transcriptomic patterns characterize prognosis and immune landscape in osteosarcoma.

Journal of bone oncology
BACKGROUND: Osteosarcoma (OS) is the most common primary malignant bone tumor in adolescents, characterized by high heterogeneity and poor prognosis. Efferocytosis, the clearance of apoptotic cells, has been implicated in tumor progression and immune... read more 

Health Insurance Portability and Accountability Act Liability in the Age of Generative Artificial Intelligence.

Journal of the American College of Emergency Physicians open
As artificial intelligence tools become increasingly integrated into emergency department workflows, healthcare providers face a growing risk of legal liability stemming from improper use, particularly with respect to data privacy and Health Insuranc... read more 

Deep learning in fetal, infant, and toddler neuroimaging research.

Developmental cognitive neuroscience
Artificial intelligence (AI) is increasingly being integrated into everyday tasks and work environments. However, its adoption in medical image analysis has progressed more slowly due to high clinical stakes, limited availability of labeled data, and... read more 

A 'Cluster-then-Estimate' Natural Language Processing (NLP) Approach for Classifying Maritime Incident Severity Based on Textual Descriptions.

Accident; analysis and prevention
Textual incident description is a vital source for understanding the severity of maritime incident. In the maritime industry, relevant authorities and companies typically rely on manual methods to estimate incident severity based on textual descripti... read more