A transmission hyperspectral microscopic imager (THMI) that utilizes machine learning algorithms for hyperspectral detection of microalgae is presented. The THMI system has excellent performance with spatial and spectral resolutions of 4 µm and 3 nm,...
Zhongguo yi liao qi xie za zhi = Chinese journal of medical instrumentation
Oct 8, 2020
We use a dense and fully connected convolutional network with good feature learning in small samples, to automatically pre-deline CTV of cervical cancer patients based on CT images and evaluate the effect. The CT data of stage IB and IIA postoperativ...
Journal of the American College of Cardiology
Oct 6, 2020
BACKGROUND: Clinical practice guidelines recommend assessment of subclinical atherosclerosis using imaging techniques in individuals with intermediate atherosclerotic cardiovascular risk according to standard risk prediction tools.
European review for medical and pharmacological sciences
Oct 1, 2020
OBJECTIVE: A prediction of the number of patients with conjunctivitis plays an important role in providing adequate treatment at the hospital, but such accurate predictive model currently does not exist. The current study sought to use machine learni...
Zhongguo yi xue ke xue yuan xue bao. Acta Academiae Medicinae Sinicae
Oct 1, 2020
The application of artificial intelligence in medical field is promoting medical innovations.Specifically,machine learning algorithm promotes the development of anesthesiology.This review elucidates the basic concept,research advances,application,and...
Gan to kagaku ryoho. Cancer & chemotherapy
Oct 1, 2020
With the development and diversification of medical care, the importance of precision medicine, which selects a suitable treatment for the individual patient from a huge number of options, is increasing. It is often difficult to explain multifactoria...
Journal of the American Medical Informatics Association : JAMIA
Oct 1, 2020
OBJECTIVE: Normalizing clinical mentions to concepts in standardized medical terminologies, in general, is challenging due to the complexity and variety of the terms in narrative medical records. In this article, we introduce our work on a clinical n...
Join thousands of healthcare professionals staying informed about the latest AI breakthroughs in medicine. Get curated insights delivered to your inbox.