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Cardiologist leaves Amazon leadership role to join digital health startup

Maulik Majmudar, MD

In the past, Majmudar has also helped manage the Healthcare Transformation Lab at Massachusetts General Hospital and served as an associate professor at Harvard Medical School.

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Radiology Partners quality initiative dramatically improves abdominal aortic aneurysm reporting and tracking

quality

Prior to implementation, only 2% of reports for dangerous AAAs included follow-up recommendations, but that number jumped to 58% afterward, experts wrote in JACR. 

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More than 60% of radiologists believe ethical, legal issues will hinder widespread AI adoption

The scales of justice coming out of a book

The findings are the second installment of an international survey analyzing attitudes toward artificial intelligence in imaging.

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BASILICA before TAVR is safe and effective, new data confirms

Same-day discharge after TAVR is safe for low-risk patients, leads to considerable cost savings

Researchers found that the procedure was associated with a high success rate and low mortality and stroke rates after 30 days.

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Patient who received 6 doses of COVID-19 vaccine reports no adverse reaction

Covid Vaccine

A patient who was given five times the regular dose of a COVID-19 vaccine by a distracted nurse has reported no adverse symptoms after being monitored at a hospital, CBS News reported.

 

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CDC changes reporting for vaccinated people who test positive for COVID-19

elderly patient mask covid

The CDC is changing the way it reports people who contract COVID-19 after they have been vaccinated against the virus, drawing some questions and ire from those it affects.

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Walmart acquires telehealth provider MeMD

walmart_health.jpeg

Walmart is advancing its healthcare capabilities with the acquisition of telehealth provider MeMD.

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Artificial intelligence shows promise spotting small bone fractures invisible to humans on X-rays

X-ray

Michigan Medicine scientists helped design a deep convolutional neural network that could pinpoint nearly 91% of occult fractures on scaphoid radiographs.

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Combining imaging data, genomic info may increase radiologists’ confidence diagnosing cancer

UCLA radiological experts unveiled their neural network framework in the Journal of Medical Imaging.

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Screws tighten on lung cancer with cross-field AI analytics

burn_matches.jpg
Photo by Maksim Goncharenok via Pexels

Deep neural networks are capable of tying oncological findings from genetic testing with those from medical imaging and biopsy analysis to not only validate previously discovered connections among and between the three fields but also uncover new ones.  

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