AIMC Topic: Artificial Intelligence

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Deep Learning and Its Application to Function Approximation for MR in Medicine: An Overview.

Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine
This article presents an overview of deep learning (DL) and its applications to function approximation for MR in medicine. The aim of this article is to help readers develop various applications of DL. DL has made a large impact on the literature of ...

Deep learning model to detect significant aortic regurgitation using electrocardiography.

Journal of cardiology
BACKGROUND: Aortic regurgitation (AR) is a common heart disease, with a relatively high prevalence of 4.9% in the Framingham Heart Study. Because the prevalence increases with advancing age, an upward shift in the age distribution may increase the bu...

Parallel and hierarchical neural mechanisms for adaptive and predictive behavioral control.

Neural networks : the official journal of the International Neural Network Society
Our brain can be recognized as a network of largely hierarchically organized neural circuits that operate to control specific functions, but when acting in parallel, enable the performance of complex and simultaneous behaviors. Indeed, many of our da...

Preparing for the future: How organizations can prepare boards, leaders, and risk managers for artificial intelligence.

Healthcare management forum
Artificial Intelligence (AI) is the notion of machines mimicking complex cognitive functions usually associated with humans, such as reasoning, predicting, planning, and problem-solving. With constantly growing repositories of data, improving algorit...

Generative Models for De Novo Drug Design.

Journal of medicinal chemistry
Artificial intelligence (AI) is booming. Among various AI approaches, generative models have received much attention in recent years. Inspired by these successes, researchers are now applying generative model techniques to de novo drug design, which ...

Should there be an "AI" in TEAM? Embryologists selection of high implantation potential embryos improves with the aid of an artificial intelligence algorithm.

Journal of assisted reproduction and genetics
PURPOSE: A deep learning artificial intelligence (AI) algorithm has been demonstrated to outperform embryologists in identifying euploid embryos destined to implant with an accuracy of 75.3% (1). Our aim was to evaluate the performance of highly trai...

Artificial Intelligence Applied to Battery Research: Hype or Reality?

Chemical reviews
This is a critical review of artificial intelligence/machine learning (AI/ML) methods applied to battery research. It aims at providing a comprehensive, authoritative, and critical, yet easily understandable, review of general interest to the battery...

Artificial Intelligence Trained by Deep Learning Can Improve Computed Tomography Diagnosis of Nontraumatic Subarachnoid Hemorrhage by Nonspecialists.

Neurologia medico-chirurgica
Subarachnoid hemorrhage (SAH) is a serious cerebrovascular disease with a high mortality rate and is known as a disease that is hard to diagnose because it may be overlooked by noncontrast computed tomography (NCCT) examinations that are most frequen...

Multi-Class brain normality and abnormality diagnosis using modified Faster R-CNN.

International journal of medical informatics
BACKGROUND AND OBJECTIVE: The detection and analysis of brain disorders through medical imaging techniques are extremely important to get treatment on time and sustain a healthy lifestyle. Disorders cause permanent brain damage and alleviate the life...