Artificial Intelligence Medical Compendium

OBJECTIVE: To determine whether software-based de-filtering can restore the quantitative accuracy of the bone scan index (BSI) and the number of hot spots (HSn) in whole-body scintigraphy images degraded by the Clarity2D noise-reduction filter. METHO... read more 

PURPOSE: To describe the design and organizational structure of a global collaborative consortium aimed at aggregating longitudinal multimodal imaging data to better understand the progression of age-related macular degeneration (AMD) and facilitate ... read more 

Despite high prevalence rates of pediatric mental health challenges, estimates suggest over 50% of youth with mental health conditions have never accessed services. eMental health resources have increased over the past two decades to mitigate barrier... read more 

OBJECTIVES: To investigate the influence of non-syndromic hypodontia on radiographic dental development and to estimate dental age in children with bilateral mandibular agenesis using a machine learning approach. MATERIALS AND METHODS: This retrospec... read more 

Quantitative photoacoustic computed tomography (qPACT) is a promising imaging modality for estimating physiological parameters such as blood oxygen saturation. However, developing robust qPACT reconstruction methods remains challenging due to computa... read more 

In recent years, polysaccharides with potential anticancer activity have attracted widespread attention. In this study, a homogeneous polysaccharide fraction, PEP-3 (102.35 kDa), was extracted and purified from the fruit of Phyllanthus emblica L. Str... read more 

Type 2 diabetes mellitus (T2DM) is a prevalent metabolic disorder closely associated with oxidative stress. Natural source polysaccharides (NSPs) show great potential in T2DM management due to their remarkable antioxidant activity and favourable bios... read more 

This article introduces the core concepts of machine learning, deep learning (DL), and active learning (AL) and their impact on modern dentistry. It explains how these artificial intelligence technologies enable automated analysis of complex dental d... read more 

BACKGROUND: Chat Generative Pre-trained Transformer, an artificial intelligence large language model chatbot, transforms how patients obtain information regarding health concerns, including sensitive questions. OBJECTIVE: To assess and compare the ac... read more 

read more