AIMC Topic: China

Clear Filters Showing 81 to 90 of 2176 articles

Efficacy of Telemedical Interventional Management in Patients with Coronary Heart Disease Undergoing Percutaneous Coronary Intervention: Randomized Controlled Trial.

Journal of medical Internet research
BACKGROUND: Coronary heart disease (CHD) continues to be a leading cause of global morbidity and mortality, with patients undergoing percutaneous coronary intervention (PCI) facing a significant risk of recurrent cardiovascular events. While secondar...

Age-specific prevalence and predictors of lifetime suicide attempts using machine learning in Chinese adults: a nationwide multi-centre survey.

Epidemiology and psychiatric sciences
AIMS: The epidemiology and age-specific patterns of lifetime suicide attempts (LSA) in China remain unclear. We aimed to examine age-specific prevalence and predictors of LSA among Chinese adults using machine learning (ML).

Construction and validation of a multi-dimensional health indicator-driven osteoporosis risk prediction model: a large-sample cross-sectional study based on two centers.

BMC musculoskeletal disorders
BACKGROUND: Rising osteoporosis prevalence among elderly populations and limitations of current single-factor screening methods necessitate development of comprehensive multi-dimensional risk prediction models.

Association between lipid profiles and early clinical outcomes in acute ischemic stroke: a single-center cohort study in the Chinese population.

BMC neurology
BACKGROUND: The clinical significance and contribution of the lipid profile in atherosclerosis are well established. However, further investigation is needed in stroke patients, particularly regarding apolipoprotein B100 (ApoB100), a novel non-tradit...

A comparison of the performance of Chinese large language models and ChatGPT throughout the entire clinical workflow.

Scientific reports
BACKGROUND: ChatGPT has demonstrated strong performance in the complex, full clinical workflow. In recent years, several large language models (LLMs) from China have been introduced; however, their performance in such intricate tasks has yet to be th...

Burden and risk factors of depression in seniors from 1990 to 2021: a multi-database study based on EMR mining methods.

Translational psychiatry
Depression in seniors is a growing public health concern worldwide. Despite the rising prevalence of depression in this demographic, comprehensive data on its burden and trends over an extended period remain limited. This study aims to assess the tre...

Rapid discrimination of and non-tuberculous mycobacteria disease via interpretive machine learning analysis of routine laboratory tests.

BMJ health & care informatics
OBJECTIVES: Rapid discrimination of infections caused by (MTB) and non-tuberculous mycobacteria (NTM) is crucial in clinical settings. Despite overlapping clinical and radiological features, the two require markedly different therapeutic approaches ...

Automated Esophageal Cancer Staging From Free-Text Radiology Reports: Large Language Model Evaluation Study.

JMIR medical informatics
BACKGROUND: Accurate staging of esophageal cancer is crucial for determining prognosis and guiding treatment strategies, but manual interpretation of radiology reports by clinicians is prone to variability and limited accuracy, resulting in reduced s...

Use of Artificial Intelligence-Assisted Conversational Agents to Improve Patient Experience Related to Physicians: Cross-Sectional Study in China.

Journal of medical Internet research
BACKGROUND: Artificial intelligence-assisted conversational agents have been applied and developed in outpatient departments to improve health services in China. However, there has been little research that evaluates the effect of artificial intellig...

Rapid and accurate prediction of cycloplegic refraction in Chinese children: development and validation of machine learning models.

Journal of global health
BACKGROUND: Uncorrected refractive error affects approximately 19 million children globally, resulting in preventable vision loss. However, cycloplegic refraction, the gold standard for assessment, remains largely inaccessible in low-resource setting...