Artificial Intelligence Medical Compendium

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

Showing 66,441 to 66,450 of 232,447 articles

Vascular graph network for ovarian lesion classification using optical-resolution photoacoustic microscopy.

Photoacoustics
Diagnosing ovarian lesions is challenging because of their heterogeneous clinical presentations. Some benign ovarian conditions, such as endometriosis, can have features that mimic cancer. We use optical-resolution photoacoustic microscopy (OR-PAM) t... read more 

Optical Neuromorphic Computing Based on Reconfigurable Excitonic Devices.

Nano letters
Optical neuromorphic computing offers promising avenues for real-time image processing and low-power artificial intelligence. Here, we introduce and experimentally validate a fundamentally new computing paradigm that exploits optical exciton dynamics... read more 

Machine Learning-Guided Solvation Engineering of Chiral Viologens for Durable Neutral Aqueous Organic Flow Batteries.

Angewandte Chemie (International ed. in English)
Conventional N-alkylated viologen electrolytes in neutral aqueous organic redox flow batteries (AORFBs) undergo irreversible nucleophilic SN2 dealkylation degradation. Moreover, trial-and-error molecular design often fails to resolve the solubility-s... read more 

Spinal circuit mechanisms constrain therapeutic windows for ALS intervention: A computational modeling study.

Neurobiology of disease
Amyotrophic Lateral Sclerosis (ALS) is a fatal neurodegenerative disease characterized by progressive breakdown of neural circuits which leads to motoneuron death. Earlier work from our lab showed that dysregulation of inhibitory V1 interneurons prec... read more 

Artificial Intelligence-Enhanced Quantitative 3D Analysis of Distal Radioulnar Ligament Insertion Footprints of the Triangular Fibrocartilage Complex With Interactive Validation.

Orthopaedic surgery
OBJECTIVES: The distal radioulnar ligaments (DRULs) serve as primary stabilizers to the distal radioulnar joint (DRUJ). Existing cadaveric studies report heterogeneous morphometric data of the three-dimensional (3D) anatomy of the triangular fibrocar... read more 

Improvements to Casanovo, a Deep Learning De Novo Peptide Sequencer.

Journal of proteome research
Casanovo is a state-of-the-art deep learning model for de novo peptide sequencing from mass spectrometry and proteomics data. Here, we report on a series of enhancements to Casanovo, aimed at improving the interpretability of the scores assigned to p... read more 

Machine Learning-Based Multi-Omics Integration for Identification of Hepatocellular Carcinoma Biomarkers in an Egyptian Cohort.

Journal of proteome research
Hepatocellular carcinoma (HCC) ranks among the most common causes of cancer-related deaths globally. The high incidence of HCC is largely linked to chronic hepatitis virus infections, liver cirrhosis, and exposure to carcinogenic substances. Egypt ha... read more 

Exosome-related lactylation gene signature defines diagnostic biomarkers of periodontitis through integrative bulk and single-cell transcriptomics.

Archives of oral biology
BACKGROUND: Exosomes and lactylation modification have been increasingly recognized as key regulators of diseases, yet their integrative role in periodontitis remains unclear. No diagnostic model based on exosome-related lactylation genes (ERLGs) has... read more 

Survey on cancer patients' attitudes towards AI and data protection: A cross-sectional study from an Italian cancer center.

International journal of medical informatics
Background Artificial Intelligence (AI) is increasingly integrated into oncology, offering opportunities to improve diagnostics, treatment planning, and operational efficiency. However, patient perspectives on AI, especially regarding data protection... read more