Precision Medicine

Also called personalized medicine, this evolving field makes use of an individual’s genes, lifestyle, environment and other factors to identify unique disease risks and guide treatment decision-making.
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Deep learning improves identification of adverse drug events from EHRs

Using a deep-learning model, a University of Massachusetts Lowell research team was able to significantly improve the extraction of adverse drug events (ADEs) from electronic health records (EHRs).

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Nova Vision CEO: AI equalizes quality between rural, urban areas of China

Jim Wang, chief executive officer of healthcare conglomerate Nova Vision Group, believes AI will help even the quality of healthcare between rural and urban parts of China, according to a report by CNBC.

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AI-powered health clinics open in Phoenix-area stores

AI-powered medical clinics will now be offered to shoppers at several Phoenix-area grocery stores in an effort to provide better access to healthcare.

NYU to release large-scale MRI dataset for AI project with Facebook

NYU Langone Health’s Department of Radiology is planning to release a large-scale dataset that includes more than 1.5 million MRI knee images in an ongoing effort to make MRI scans faster with AI.

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RSNA 2018: Researchers use AI to predict cancer survival, treatment response

After using deep learning on patient scans to track cancer evolution, one research team is hopeful the “promising results” can help improve treatment response and survival predictions for cancer patients.

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Philadelphia physician earns RSNA Margulis Award for AI research

A physician whose research produced promising results for using AI to improve the detection of tuberculosis (TB) was awarded the Alexander R. Margulis Award for Scientific Excellence during the annual RSNA conference in Chicago.

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AI predicts risk of ER admission

University of Oxford researchers were able to predict a patient’s risk of being admitted into emergency care by using machine-learning techniques with electronic health records (EHRs), according to a study published in PLOS Medicine.

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Deep-learning algorithm matches, outperforms radiologists in screening chest X-rays

A deep-learning algorithm was significantly faster and just as accurate as most radiologists in analyzing chest X-rays for several diseases, according to a study led by Stanford University researchers.

Around the web

HHS has thought through the ways AI can and should become an integral part of healthcare, human services and public health. Last Friday—possibly just days ahead of seating a new secretary—the agency released a detailed plan for getting there from here.

Philips is recalling the software associated with its Mobile Cardiac Outpatient Telemetry devices after certain high-risk ECG events were never routed to trained cardiology technicians as intended. The issue, which lasted for two years, has been linked to more than 100 injuries. 

Heart Rhythm Society President Kenneth A. Ellenbogen, MD, detailed a new advocacy group focused on improving EP reimbursements, patient care and access. “If you’re not at the table, you’re on the menu," he said.