Artificial Intelligence Medical Compendium

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

Showing 59,361 to 59,370 of 227,876 articles

High-Resolution and Ultralow-Power Nonlinear Image Processing with Passive High-Quality Factor Metasurfaces.

Nano letters
Image processing is one of the most exciting domains for applying artificial intelligence but is computationally expensive. Nanostructured metasurfaces have opened the door to the ultimate energy saving by directly processing ambient image data via u... read more 

CACHE Challenge #3: Targeting the Nsp3 Macrodomain of SARS-CoV-2.

Journal of chemical information and modeling
The third Critical Assessment of Computational Hit-finding Experiments (CACHE) challenged computational teams to identify chemically novel ligands targeting the macrodomain 1 of SARS-CoV-2 Nsp3, a promising coronavirus drug target. Twenty-three group... read more 

Risk prediction models for detecting a new diagnosis of heart failure within 5 years in the community: a systematic review.

BMJ open
OBJECTIVES: Earlier heart failure (HF) diagnosis in the community could allow timely treatment initiation and prevent unnecessary hospitalisation, but identifying those at risk remains challenging. We aimed to summarise the performance of risk predic... read more 

Machine Learning-Driven Approach to Identify Freezing of Gait in Individuals with Parkinson's Disease Using Conventional Structural MRI and Clinical Measures.

AJNR. American journal of neuroradiology
BACKGROUND AND PURPOSE: Freezing of gait (FOG) presents a significant challenge in the management of Parkinson's disease (PD). Our study explored the potential to predict PD-FOG using an unbiased machine learning (ML) approach that leverages conventi... read more 

Transcriptome integration analysis of shared biomarkers and common immune mechanisms in SLE and PSO.

Infection, genetics and evolution : journal of molecular epidemiology and evolutionary genetics in infectious diseases
This study aimed to identify shared diagnostic biomarkers and common immune mechanisms between systemic lupus erythematosus (SLE) and psoriasis (PSO) via integrated transcriptomic analysis, and to elucidate the role of genetic susceptibility in drivi... read more 

Advances in NMR Spectroscopy for biological systems: Principles, techniques, and their growing scope.

Biotechnology advances
Nuclear Magnetic Resonance (NMR) spectroscopy is a crucial tool in structural biology, uniquely capable of revealing protein structure, dynamics, and interactions at atomic resolution in environments that closely resemble native conditions. The combi... read more 

From Evidence-based Endodontics to Generative AI: A Comparative Study of 11 Large Language Models.

Journal of endodontics
INTRODUCTION: Generative large language models (LLMs) are increasingly used in dentistry, yet their guideline-based diagnostic accuracy and reproducibility remain uncertain. Position statements from the American Association of Endodontists and the Eu... read more 

PoseR: a deep learning toolbox for classifying animal behaviour.

Open biology
The actions of animals provide a window into how their minds work. Recent advances in deep learning are providing powerful approaches to recognize patterns of animal movement from video recordings using markerless pose estimation models. Current meth... read more