Artificial Intelligence Medical Compendium

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

Showing 34,241 to 34,250 of 221,510 articles

Machine Learning to Predict Remission Between Six and 24 Months in Rheumatoid Arthritis: Insights from the JAK-pot Collaboration.

Arthritis & rheumatology (Hoboken, N.J.)
OBJECTIVE: To develop, externally validate, and simplify a machine-learning (ML) model to predict remission between six and 24 months in rheumatoid arthritis (RA) patients initiating TNF inhibitors, JAK inhibitors, IL-6 inhibitors, abatacept, or ritu... read more 

Artificial Intelligence-Aided Lung Ultrasound Detection of Interstitial Lung Disease in Systemic Sclerosis and Inflammatory Myopathy.

Arthritis care & research
BACKGROUND: Lung ultrasound (LUS) is a sensitive, low-cost, and radiation-free modality for ILD detection. We previously developed and validated LUS interpretation criteria in systemic sclerosis (SSc) and idiopathic inflammatory myopathy (IIM) showin... read more 

BB-EIT: A Generalized Prediction Model for Protein Adsorption on Polymer Brushes Using Augmented Chemical Embeddings.

ACS applied materials & interfaces
Precise control of protein adsorption on polymer surfaces is essential in materials science and biomaterial design, with applications in antifouling materials, biosensors, cell culture, and drug delivery systems. However, the complex interactions bet... read more 

Genome diagnostics: a pillar of twenty-first century healthcare and precision medicine.

Personalized medicine
Genomic diagnostics is revolutionizing disease management and forms the cornerstone of precision medicine. This review details the multi-stage operational process of genomic testing, encompassing patient counseling, sample logistics, high-throughput ... read more 

Screening and dynamic change study of microbial and metabolite markers for calf diarrhea based on multi-omics and machine learning.

mSystems
UNLABELLED: Neonatal calf diarrhea is a leading cause of calf mortality and substantial economic loss in the livestock industry, yet the dynamic microbial and metabolic signatures accompanying disease onset remain poorly defined. Here, we integrated ... read more 

Leveraging Generative AI Within the ADDIE Model: A Transformative Approach for Nursing Professional Development.

Journal of continuing education in nursing
BACKGROUND: This article explores how nursing professional development (NPD) practitioners can use artificial intelligence (AI) and generative artificial intelligence (Gen AI) across each phase of the ADDIE (Analyze, Design, Develop, Implement, Evalu... read more 

Diagnosis of High Intracranial Pressure by Non-Optic Nerve Retinal Image Features.

Translational vision science & technology
PURPOSE: To assess the performance of an artificial intelligence deep learning (DL) model compared with neuro-ophthalmologists for the classification of subjects with elevated intracranial pressure (ICP) and papilledema versus control subjects, based... read more 

A Gate-Tunable Thermal Persistent Photocurrent Device for In-Sensor Spiking Neural Networks.

ACS applied materials & interfaces
Persistent photocurrent is widely observed in van der Waals (vdW) heterostructures and is often attributed to trap-assisted photogating, yet its microscopic origin remains unclear. Here, we clarify the mechanism in a gate-tunable MoS2/black phosphoru... read more 

On optimisation of Paganin's method for propagation-based X-ray phase-contrast imaging and tomography.

Journal of microscopy
Paganin's method for image reconstruction in propagation-based phase-contrast X-ray imaging and tomography has enjoyed broad acceptance in recent years, with over one thousand publications citing its use. The present paper discusses approaches to opt... read more