Artificial Intelligence Medical Compendium

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

Showing 36,151 to 36,160 of 223,137 articles

Cardiac myofibril networks induce shear stress.

NPJ systems biology and applications
Myofibril arrangement is critical to cardiac muscle function in health and disease. Historically, analysis of the impact of myofibril organisation on force and cell contraction has relied on the assumption of uniaxial arrays. However, improvements in... read more 

Artificial neural networks (ANN) and response surface methodology (RSM) for optimizing antioxidant and α-amylase inhibitory compound extraction from Ballota limbata.

Scientific reports
Ballota limbata (syn. Otostegia limbata), a medicinal plant with various ethno-therapeutic uses, was investigated for the recovery of its bioactive compounds using sustainable extraction strategies. This study compared microwave-assisted extraction (... 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 

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 

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 

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 

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 

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 

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