CIENCIASMEDICASNEWS: Medical News | Medical Articles: Driving Adoption of Digital Pathology with Image Search

miércoles, 2 de octubre de 2019

Medical News | Medical Articles: Driving Adoption of Digital Pathology with Image Search

	October 2, 2019
	Artificial Intelligence in Healthcare
	The latest artificial intelligence in healthcare news from News Medical

Driving Adoption of Digital Pathology with Image Search

There are tens of millions of pathology reports and whole slide scans of samples that have been generated. One of the challenges is that often those reports and images are being stored, never to be revisited. There's a lot of knowledge that's contained in that data. Imagine if we could make use of that information to help inform new decisions and diagnoses?

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			AI used to find unsafe foods using consumer product reviews A new program can track all recalled foods based from Amazon customer reviews. Called BERT, the AI program identified thousands of recalled products with an accuracy rate of 74 percent. Researchers from the Boston University School of Medicine developed an artificial intelligence (AI) program that can detect unsafe food contaminated with chemicals, toxins, pathogens, and those which are mislabeled of allergens.

			Artificial intelligence learns complex patterns between genes and diseases Artificial intelligence is being harnessed by researchers to track down genes that cause disease. A KAUST team is taking a creative, combined deep learning approach that uses data from multiple sources to teach algorithms how to find patterns between genes and diseases.

	AI could use electrocardiogram data to track overall health status of patients In the near future, doctors may be able to apply artificial intelligence to electrocardiogram data in order to measure overall health status, according to new research published in Circulation: Arrhythmia and Electrophysiology, a journal of the American Heart Association.

	AI helps identify patients in need of advanced care for depression Depression is a worldwide health predicament, affecting more than 300 million adults. It is considered the leading cause of disability and contributor to the overall global burden of disease. Detecting people in need of advanced depression care is crucial.

	New AI technology has potential to detect early signs of heart attack Technology developed using artificial intelligence could identify people at high risk of a fatal heart attack at least 5 years before it strikes, according to new research funded by the British Heart Foundation.

	New AI-guided robotic platform for automation of synthetic biological molecules A cross-disciplinary team of MIT researchers have published details of an artificial intelligence (AI) guided robotic platform for flow synthesis of small molecule organic compounds. The paper appeared in the August 9, 2019 issue of Science.

	AI helps detect atrial fibrillation cheaply and reliably A startling new study from Mayo Clinic shows that artificial intelligence (AI) can help pick up the earliest signs of the potentially fatal irregularity in heart rhythm called atrial fibrillation (AF) on electrocardiography (EKG)– even when the heart rhythm is perfectly normal at the time of testing.

	New approach allows artificial intelligence systems to teach each other The journal Physics of Life Reviews, which has one of the highest impact factors in the categories "Biology" and "Biophysics", has published an article entitled "Symphony of high-dimensional brain".