Artificial Intelligence Medical Compendium

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

Showing 34,951 to 34,960 of 221,633 articles

Physiologically inspired modeling of cortical dynamics through spiking neural networks.

Journal of neural engineering
the characterization of neural activity underlying neurophysiological function presents a major challenge in computational neuroscience. Several methods have been proposed to investigate cortical network dynamics by reconstructing underlying neural a... read more 

Exploring the Ethical and Practical Considerations of Artificial Intelligence in Real-World Health Care Settings: Stakeholder Focus Group Study.

JMIR AI
BACKGROUND: Artificial intelligence (AI) technologies continue to transform how we research human disease, diagnose and treat patients, and operate hospitals. However, emerging ethical dilemmas surrounding their design, use, and oversight demand both... read more 

Acceptable accuracy for medical AI: a survey of physicians and the general population in Sweden.

BMJ health & care informatics
OBJECTIVES: To identify the lowest sensitivity and specificity that physicians and the general population consider acceptable for medical artificial intelligence (AI), relative to current human performance. METHODS: In a nationwide, cross-sectional s... read more 

Robotic process automation for identifying missing codes on insurance claims.

BMJ health & care informatics
OBJECTIVES: This study aimed to develop and implement robotic process automation (RPA) for identifying missing codes during insurance claim post-review at a tertiary hospital and to evaluate its feasibility and effectiveness METHODS: As a single-cent... read more 

Dosimetry Analysis of 177Lu-PSMA-I&T in Patients with Low-Volume Oligometastatic Hormone-Sensitive Prostate Cancer: A Secondary Analysis of the LUNAR Trial.

Journal of nuclear medicine : official publication, Society of Nuclear Medicine
The phase 2 LUNAR trial randomized (1:1) patients with oligorecurrent hormone-sensitive prostate cancer to neoadjuvant [177Lu]Lu-PSMA-I&T (2 cycles, 6.8 GBq) followed by stereotactic body radiotherapy (SBRT) versus SBRT alone. [177Lu]Lu-PSMA-I&T befo... read more 

Retinal vascular phenotyping for early detection of coronary artery disease: quantitative assessment and diagnostic modelling.

BMJ open
OBJECTIVES: To investigate the association between quantitative retinal vascular parameters and coronary artery disease (CAD) and to evaluate the efficacy of a retinal phenotype-based diagnostic model as a non-invasive tool for early CAD screening. D... read more 

Use of ambient AI scribe in physicians' clinical documentation: a protocol for a systematic review on effectiveness, efficiency, and satisfaction.

BMJ open
INTRODUCTION: Clinical documentation is a significant driver of burnout among physicians. Ambient artificial intelligence (AI) scribes, which leverage generative large language models to automate the creation of clinical notes from patient-physician ... read more 

Machine-Learned Extrapolation of Quantum Mechanical Energies in Implicit Solvent from Short to Long Oligopeptides.

Journal of chemical information and modeling
Is it possible to obtain a sufficiently accurate quantum mechanical (QM) energy of an arbitrary oligopeptide structure in an implicit solvent within a second? Herein, we explore the possibility of constructing potential energy surfaces of larger pept... read more 

Analyzing multiple-sclerosis progression: stage-specific biomarker insights via explainable machine learning.

Neurodegenerative disease management
BACKGROUND: Multiple Sclerosis (MS) is a chronic autoimmune disease where early diagnosis from Clinically Isolated Syndrome (CIS) remains challenging. METHODS: This study investigates stage-specific biomarkers for CIS-to-MS conversion using explainab... read more 

NMR-Solver: automated structure elucidation via large-scale spectral matching and physics-guided fragment optimization.

Nature communications
Nuclear Magnetic Resonance (NMR) spectroscopy is one of the most powerful and widely used tools for molecular structure elucidation in organic chemistry. However, the interpretation of NMR spectra to determine unknown molecular structures remains a l... read more