Artificial Intelligence Medical Compendium

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

Showing 13,111 to 13,120 of 210,785 articles

Microbe Decoder uncovers functional traits of microbes in microbiome datasets.

Nucleic acids research
Microbe Decoder is a web server that predicts functional traits of microbes in microbiome sequencing datasets. Sequencing has revealed thousands of organisms in most ecosystems, but the functional traits of many organisms remain unclear. Existing too... read more 

Liquid Metal-Enabled Soft Bioelectronics for Human Health Monitoring.

Small (Weinheim an der Bergstrasse, Germany)
Continuous, real-time, and accurate monitoring of human physiological signals is crucial for proactive healthcare and chronic disease management. Traditional rigid sensors, however, face limitations in mechanical compatibility, signal fidelity during... read more 

Artificial intelligence for detection and staging of Alzheimer's disease using retinal images.

The Cochrane database of systematic reviews
This is a protocol for a Cochrane Review (diagnostic). The objectives are as follows: To determine the diagnostic accuracy of AI algorithm-based retinal image reading for detecting referral-requiring Alzheimer's disease in adults who have behavioral ... read more 

PolyT-GNN: A Graph Neural Network Framework for Data-Driven Discovery of High-Temperature Two-Way Shape Memory Polymers.

ACS applied materials & interfaces
Two-way shape memory polymers (2W-SMPs) represent a promising class of smart materials capable of reversible actuation under cyclic thermal stimuli. Despite their potential for high-performance applications in aerospace, geothermal, self-healing, bio... read more 

Student Leadership Development in a Gen-AI Higher Education Landscape: Four Imperatives for the Future.

New directions for student leadership
Artificial intelligence (AI) is transforming higher education, yet student leadership programs have failed to engage this transformation. This article examines four imperatives for integrating AI into leadership education: AI as pedagogy, AI literacy... read more 

Riesz Representers for the Rest of Us.

Epidemiology (Cambridge, Mass.)
The application of semiparametric efficient estimators, particularly those that leverage machine learning, is rapidly expanding within epidemiology and causal inference. This literature is increasingly invoking the Riesz representation theorem and Ri... read more 

How accurate are foundational machine learning interatomic potentials for heterogeneous catalysis?

The Journal of chemical physics
Foundational machine-learning interatomic potentials (MLIPs) are being developed at a rapid pace, promising closer and closer approximation to abĀ initio accuracy. This unlocks the possibility to simulate much larger length and time scales. However, b... read more 

Proximal Junctional Kyphosis Prevention in Adult Spinal Deformity Surgery: A Technical Review of Tethering and Adjunctive Strategies.

Operative neurosurgery (Hagerstown, Md.)
BACKGROUND AND OBJECTIVES: Proximal junctional kyphosis (PJK) and proximal junctional failure (PJF) remain significant complications after long-segment posterior fusion for adult spinal deformity. Preventive strategies-including tethering, vertebral ... read more 

Artificial Intelligence Algorithm to Monitor Inspiratory Muscle Effort and Patient-Ventilator Dyssynchrony During Mechanical Ventilation.

Critical care medicine
OBJECTIVE: Current methods for estimating inspiratory muscle pressure (Pmus) during mechanical ventilation are either invasive or dependent on occlusion maneuvers. A noninvasive artificial intelligence (AI) algorithm estimating in real-time the ampli... read more 

LFaB: Low Fidelity as Bias for Active Learning in the Chemical Configuration Space.

Journal of chemical theory and computation
Active learning promises to provide an optimal training sample selection procedure in the construction of machine learning models. It often relies on minimizing the model's variance, which is assumed to decrease the prediction error. Still, it is fre... read more