AIMC Topic: China

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Early Prediction of Gestational Diabetes Mellitus in the Chinese Population via Advanced Machine Learning.

The Journal of clinical endocrinology and metabolism
CONTEXT: Accurate methods for early gestational diabetes mellitus (GDM) (during the first trimester of pregnancy) prediction in Chinese and other populations are lacking.

[Artificial intelligence based Chinese clinical trials eligibility criteria classification].

Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi
Subject recruitment is a key component that affects the progress and results of clinical trials, and generally conducted with eligibility criteria (includes inclusion criteria and exclusion criteria). The semantic category analysis of eligibility cri...

[Study on Technical Risks and Primary Responsibility of Medical Artificial Intelligence Diagnosis Products under Strategy of "Healthy China"].

Zhongguo yi liao qi xie za zhi = Chinese journal of medical instrumentation
OBJECTIVE: It provides reference for accurate and efficient supervision of medical artificial intelligence industry.

Screening and identifying hepatobiliary diseases through deep learning using ocular images: a prospective, multicentre study.

The Lancet. Digital health
BACKGROUND: Ocular changes are traditionally associated with only a few hepatobiliary diseases. These changes are non-specific and have a low detection rate, limiting their potential use as clinically independent diagnostic features. Therefore, we ai...

Research and Google Trend for Human Neuropsychiatric Disorders and Machine Learning: A Brief Report.

Psychiatria Danubina
OBJECTIVES: The key characteristics of this study are to highlight the research trend pertaining to the use of machine learning in the diagnosis and management of neuropsychiatric conditions.

Identification of the Neural Circuit Underlying Episodic Memory Deficit in Amnestic Mild Cognitive Impairment via Machine Learning on Gray Matter Volume.

Journal of Alzheimer's disease : JAD
Based on whole-brain gray matter volume (GMV), we used relevance vector regression to predict the Rey's Auditory Verbal Learning Test Delayed Recall (AVLT-DR) scores of individual amnestic mild cognitive impairment (aMCI) patient. The whole-brain GMV...

Temporal changes of quantitative CT findings from 102 patients with COVID-19 in Wuhan, China: A longitudinal study.

Technology and health care : official journal of the European Society for Engineering and Medicine
BACKGROUND: Computed tomography (CT) imaging combined with artificial intelligence is important in the diagnosis and prognosis of lung diseases.

Development of Machine Learning Models for Predicting Postoperative Delayed Remission in Patients With Cushing's Disease.

The Journal of clinical endocrinology and metabolism
CONTEXT: Postoperative hypercortisolemia mandates further therapy in patients with Cushing's disease (CD). Delayed remission (DR) is defined as not achieving postoperative immediate remission (IR), but having spontaneous remission during long-term fo...

[Application of artificial intelligence technology in the diagnosis and treatment of colorectal cancer].

Zhonghua wei chang wai ke za zhi = Chinese journal of gastrointestinal surgery
The combination of artificial intelligence (AI) technology and medicine is an important milestone in the development of modern medicine, which realizes the digitalization and intelligence for clinicians in the process of diagnosis and treatment. This...

[Application of artificial intelligence in prevention and control of COVID-19 in Guangzhou city].

Zhonghua yu fang yi xue za zhi [Chinese journal of preventive medicine]
Since the outbreak of COVID-19, it has spread rapidly throughout the country and even in the world. As a first tier city, Guangzhou is also the South Gate of China, with large population mobility and severe and complex prevention and control situatio...