Artificial Intelligence Medical Compendium

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

Showing 25,301 to 25,310 of 217,759 articles

Collapse of the Helical Hydrogen Bond Structure in Imidazolium Hydrogen o-Phthalate Under High Pressure: A Vibrational Spectroscopy Study.

The journal of physical chemistry letters
Imidazolium hydrogen o-phthalate (OrtImi) is an organic ionic crystal with a helical hydrogen-bonded network. We report on the evolution of the Raman, terahertz, and infrared modes of OrtImi over a wide range of temperatures and hydrostatic pressures... read more 

CGDock: Curvature-Aware Geometric Flow Framework for Protein-Ligand Docking.

Journal of chemical information and modeling
Accurately predicting the conformation of small-molecule ligands to protein targets is a critical step in drug discovery and therapeutic development. Although deep learning has enabled substantial advances in molecular docking, many existing framewor... read more 

Patient Concerns Regarding Artificial Intelligence Applications in Health Care: Systematic Review and Meta-Synthesis Based on Social Ecological Theory.

Journal of medical Internet research
BACKGROUND: The use of artificial intelligence (AI) in health care is growing quickly, but there is not enough research that looks at patient concerns from a multilevel perspective. Existing reviews predominantly summarize patient attitudes descripti... read more 

Bridging the Implementation Gap in Medical AI Education: 3-Lever Framework for Concurrent Reform.

JMIR medical education
The rapid integration of artificial intelligence (AI) into clinical practice necessitates urgent restructuring of medical education and physician assessment to ensure that future physicians are proficient and responsible users of AI tools. Despite th... read more 

Deciphering the Solvation Structure of Aqueous ZnCl2 Solutions from X-ray Absorption Spectra Using the Interpretable Graph Neural Network.

The journal of physical chemistry. B
Machine learning (ML) provides powerful pathways for predicting spectroscopic observables from atomic structures, but its broader impact depends on making model predictions interpretable in terms of physical and chemical principles. Here, we introduc... read more 

Cross-Subject Generalization for EEG Decoding: A Survey of Deep Learning Methods.

Progress in biomedical engineering (Bristol, England)
Deep learning for cross-subject EEG decoding is hindered by the high degree of inter-subject variability, which creates a severe domain shift between training and unseen test subjects. This survey presents a comprehensive review of deep learning meth... read more 

Quantifying Components in a Model Vaccine with Machine-Learning-Augmented Raman Spectroscopy.

Analytical chemistry
Vaccination is a highly efficient strategy in controlling infections. Aluminum-containing adjuvants have long been used to enhance immunogenicity, but quantification of adsorbed antigens remains analytically challenging. This study uses Raman spectro... read more