AIMC Topic: China

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An artificial neural network model to predict the mortality of COVID-19 patients using routine blood samples at the time of hospital admission: Development and validation study.

Medicine
BACKGROUND:: In a pandemic situation (e.g., COVID-19), the most important issue is to select patients at risk of high mortality at an early stage and to provide appropriate treatments. However, a few studies applied the model to predict in-hospital m...

[Deep learning-based dental plaque detection on permanent teeth and the influenced factors].

Zhonghua kou qiang yi xue za zhi = Zhonghua kouqiang yixue zazhi = Chinese journal of stomatology
To develop an artificial intelligence system for detecting dental plaque on permanent teeth and find the influenced factors. Photos of the labial or buccal surfaces of the permanent teeth were taken by using an intraoral camera (1 280×960 pixels; T...

[Application of deep learning neural network in pathological image classification of non-inflammatory aortic membrane degeneration].

Zhonghua bing li xue za zhi = Chinese journal of pathology
To investigate the value of deep learning in classifying non-inflammatory aortic membrane degeneration. Eighty-nine cases of non-inflammatory aortic media degeneration diagnosed from January to June 2018 were collected at Beijing Anzhen Hospital, C...

Radiographical assessment of tumour stroma and treatment outcomes using deep learning: a retrospective, multicohort study.

The Lancet. Digital health
BACKGROUND: The tumour stroma microenvironment plays an important part in disease progression and its composition can influence treatment response and outcomes. Histological evaluation of tumour stroma is limited by access to tissue, spatial heteroge...

A Deep-Learning-Based, Fully Automated Program to Segment and Quantify Major Spinal Components on Axial Lumbar Spine Magnetic Resonance Images.

Physical therapy
OBJECTIVE: The paraspinal muscles have been extensively studied on axial lumbar magnetic resonance imaging (MRI) for better understanding of back pain; however, the acquisition of measurements mainly relies on manual segmentation, which is time consu...

[Robot-assisted single-anastomosis duodeno-ileal bypass with sleeve gastrectomy].

Zhonghua wei chang wai ke za zhi = Chinese journal of gastrointestinal surgery
Single-anastomosis duodeno-ileal bypass with sleeve gastrectomy (SADI-S) is simpler and has similar efficacy for obesity and obesity-associated metabolic diseases in comparison to biliopancreatic diversion with duodenal switch. We reported the first ...

[Intelligent prediction of HER2 status based on breast histopathology].

Zhonghua bing li xue za zhi = Chinese journal of pathology
To study the association between histopathological features and HER2 overexpression/amplification in breast cancers using deep learning algorithms. A total of 345 HE-stained slides of breast cancer from 2012 to 2018 were collected at the China-Japa...

Deep learning-based artificial intelligence model to assist thyroid nodule diagnosis and management: a multicentre diagnostic study.

The Lancet. Digital health
BACKGROUND: Strategies for integrating artificial intelligence (AI) into thyroid nodule management require additional development and testing. We developed a deep-learning AI model (ThyNet) to differentiate between malignant tumours and benign thyroi...

[Application and progress of artificial intelligence in endoscopic diagnosis of superficial esophageal cancer].

Zhonghua zhong liu za zhi [Chinese journal of oncology]
China is a country with high incidence of esophageal cancer. Advanced esophageal cancer not only brings serious threat to the health of patients, but also brings heavy economic burden to their families and society. Early diagnosis and treatment of es...