Artificial Intelligence Medical Compendium

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

Showing 30,681 to 30,690 of 220,177 articles

Differential diagnosis of migraine and tension-type headache based on brain volumes using machine learning methods.

Clinical neurology and neurosurgery
PURPOSE: Structural brain changes in migraine and tension-type headache (TTH) have mostly been investigated using voxel-based morphometry or regional volume analyses. However, the diagnostic discriminatory power of these volumetric parameters within ... read more 

Integrated multi-omics analysis identifies TBC1D10C as an NK- and T cell-associated diagnostic biomarker in childhood obesity.

3 Biotech
Childhood obesity is a growing global health crisis associated with an increased risk of metabolic and cardiovascular diseases in adulthood. While accumulating evidence implicates immune dysregulation in obesity pathogenesis, the specific transcripti... read more 

Natural bioactive as modulators of airway inflammation and remodeling: mechanistic insights.

3 Biotech
Airway diseases such as asthma, COPD, pulmonary fibrosis, and other inflammatory airway conditions remain a significant threat to global health. Traditional medicine (TM) has been extensively used over centuries to prevent and treat respiratory disor... read more 

Efficient Machine Learning Prediction of Solvent-Dependent 1 H $$ {}^1\mathrm{H} $$ NMR Chemical Shifts in Zinc Complexes.

Journal of computational chemistry
Accurate prediction of NMR chemical shifts in transition metal complexes remains challenging due to the wide range of coordination environments and complex electronic structures of these systems. In this work, we present a machine learning approach (... read more 

An algorithm to identify less invasive surfactant administration using a real-world database of preterm infants.

PloS one
BACKGROUND: Surfactant replacement therapy is central to respiratory distress syndrome (RDS) management in preterm infants, which can be delivered using a variety of methods. Less invasive surfactant administration (LISA) has been increasingly adopte... read more 

Fixed-time adaptive fuzzy command filtering control for a two-joint robotic manipulator with input dead zone saturation and time-varying delay.

PloS one
This paper studies an adaptive fuzzy fixed-time tracking control problem for the two-joint robotic manipulator with input deadzone saturation and time-varying delay. By employing auxiliary signals to compensate for the effects of time-varying delay, ... read more 

Drawn-on-skin electronic tattoo as a closed-loop sensing-stimulation system for the muscles.

Science advances
Simultaneous electromyography (EMG) sensing and closed-loop electrical stimulation (ES) could enable interactive muscle training, motor rehabilitation, and kinesthetic feedback. However, current systems often suffer from nonconformal device/skin inte... read more 

Enhancing biomedical optical volumetric imaging via self-supervised orthogonal learning.

Science advances
Optical volumetric imaging grapples with inherent noise problems arising from photon budget constraints, light scattering, and space-bandwidth product bottlenecks, all of which degrade structural fidelity and become even more pronounced than in plana... read more 

Research on Risk Transfer Pathways for Lung Cancer Among Middle-Aged and Older Individuals Using Deep Reinforcement Learning: Retrospective Cohort Study.

JMIR medical informatics
BACKGROUND: Nowadays, lung cancer has a significantly high incidence rate worldwide. The mortality rate of lung cancer continues to rise; it is more common in middle-aged and older individuals and poses a great threat to human health. OBJECTIVE: This... read more 

Cell type-agnostic transcriptomic signatures enable uniform comparisons of neural maturation.

PLoS biology
Understanding where a cell sits along developmental time is as important as identifying its type. While single-cell transcriptomics has catalogued the diversity of neural cell types, aligning them along a shared temporal axis across studies, species,... read more