Artificial Intelligence Medical Compendium

Osteoarthritis (OA) pain often does not correlate with magnetic resonance imaging (MRI)-detected structural abnormalities, limiting the clinical utility of traditional volume-based lesion assessments. To address this mismatch, we present a novel expl... read more 

Generative models are emerging as foundation tools for the discovery of new materials with remarkable efficiency. Existing works introduce physical constraints during the generation process of diffusion models to improve the quality of the generated ... read more 

With the rapid advancement of neuroimaging technologies, the development of deep learning-based models for the analysis of mental disorders has become an emerging consensus. Graphs, as a data and relationship representative, can abstract complex brai... read more 

INTRODUCTION: Occupational therapy is evolving rapidly due to technological advances and demographic and sociocultural changes. Recognizing emerging trends is fundamental to developing responsive educational programs, evidence-based practices, and ad... read more 

BACKGROUND: Machine-learning models are increasingly used in orthopaedic oncology to predict survival outcomes for patients with osteosarcoma. Typically, these models are trained on a single data set, such as the Surveillance, Epidemiology, and End R... read more 

Recent advances in protein language models have catalyzed significant progress in peptide sequence representation. Despite extensive exploration in this field, pre-trained models tailored for peptide-specific needs remain largely unaddressed due to t... read more 

BACKGROUND: This study is the second part of an investigation into enhancing high-resolution compound-specific mapping for artworks using multi-modal chemical imaging and machine learning. It builds upon the previously introduced framework, part one:... read more 

A comprehensive analytical strategy was developed to systematically characterize the in vivo metabolic profiles of chemical compounds in Yangxinshi Tablet (YXST) after oral administration in rats. First, an innovative data acquisition mode, termed ba... read more 

With the development of advanced imaging technologies, the demand for high quality images in various fields has increased. However, image degradation due to noise, data loss, and other factors persistently hinder image quality. Image restoration (IR)... read more 

Effective knowledge-grounded dialogue systems rely heavily on accurate knowledge selection. This paper begins with an innovative new perspective that categorizes research on knowledge selection based on when knowledge is selected in relation to respo... read more