Aim The aim of this review is to examine the effectiveness of artificial intelligence in
predicting multimorbid diabetes‐related complications. Background In diabetic patients …

Abstract Background and Objective While the development of artificial intelligence (AI)
technologies in medicine has been significant, their application to acute and chronic pain …

To investigate the correlation between neuropathic pain's early diagnosis, severity, and
nucleotide-binding domain, leucine-rich-containing family, pyrin domain-containing-3 …

医疗管理中. 基于AI 的机器学习, 自然语言, 机器人处理及计算机视觉功能所形成的大数据处理,
病人行为模式分析以及疾病风险预测, 诊断和治疗决策树等研究方向已成为热点问题. 现今, AI …

Objective: To develop a model that can predict pulmonary function test (PFT) values in
individuals with chronic obstructive pulmonary disease (COPD) using an artificial neural …

Clinical decision support systems based on artificial intelligence (AI) can help specialists
improve the accuracy of diagnostic decisions, and thus increase the effectiveness of therapy …

Aim: Eating disorders (EDs), dysfunctional attitudes (DAs), and limitation of movement due to
kinesiophobia, which are more common in patients with type 2 diabetes mellitus (T2DM) …

Bu c? alıs? ma diyabetik ayak ülseri (DAÜ) bulunan bireylerde egzersiz yaklaşımlarının
ülser iyileşmesine etkisini araştırmak amacıyla planlandı. Çalıs? mamıza, S? anlıurfa Harran …