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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AI identifies schizophrenia with 87% accuracy

Researchers at the University of Alberta have developed a new AI-based software––Ensemble Algorithm with Multiple Parcellations for Schizophrenia Prediction, or EMPaSchiz––that will allow physicians to identify schizophrenia in fMRI scans with 87 percent accuracy. Their research was published in NJP Schizophrenia.

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FDA, AI company partner to improve drug development process

Dana Solutions, a California-based AI company, is partnering with the FDA’s Center for Drug Evaluation and Research to improve the drug development process by using AI, the company announced Feb. 25.

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AI detects high-risk breast lesions with accuracy

A new machine learning model allows for physicians to determine whether atypical ductal hyperplasia (ADH) could upgrade to cancer, according to new research published in JCO Clinical Cancer Informatics. The model can identify 98 percent of all malignant cases prior to surgery, while sparing 16 percent of women from unnecessary surgeries. 

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Diagnostic company raises $6M for AI-based breast cancer screening tool

Niramai Health Analytix, an AI-based diagnostic company, has raised $6 million in funding for its tool that leverages AI to screen for early stage breast cancer.

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Five more AI-powered health clinics open in Phoenix grocery stores

Arizona-based telehealth company Akos has opened five additional AI-powered health clinics at Phoenix-area grocery stores in a continued push to provide better access to healthcare, the company recently announced.

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Low-value procedures harm patients, consume hospital resources

The use of low-value procedures is harming patients, consuming hospital resources and delaying care for patients for whom the services would be appropriate, according to a new assessment of seven low-value procedures published in JAMA Internal Medicine.

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Cedars-Sinai uses Alexa-powered platform to create smart hospital room

In a quest to make hospital rooms more intelligent and convenient, Cedars-Sinai Medical Center in Los Angeles is piloting Aiva—an Alexa-powered platform that allows patients to interact hands-free with hospital staff and control their in-room entertainment.

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Patient satisfaction scores should adjust for race, ethnicity

A study published in JAMA Open Network found Asian physicians received lower likelihood to recommend (LTR) scores, compared to non-Hispanic white physicians. With this in mind, health organizations using patient satisfaction scores for physician compensation and promotion should adjust for patient race and ethnicity.

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.