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Brigham's Gawande picked as CEO of Amazon-Berkshire Hathaway-JPMorgan healthcare initiative

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Tim Llewellyn

Amazon, Berkshire Hathaway and JPMorgan Chase announced Atul Gawande, MD, MPH, as the new CEO for its partnership on U.S. employee healthcare. A surgeon at Brigham and Women’s Hospital in Boston and professor at Harvard Medical School, he will begin his new role July 9.

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Radiologist sentenced to up to 7 years for child enticement

A 31-year-old radiologist from Spokane, Washington, has been sentenced to up to seven years in prison for enticing a child under the age of 16.

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GE delisted from Dow Jones after 110-year run in 30-company index

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For the first time in 110 years, General Electric won’t be a part of the Dow Jones Industrial Average, after S&P Dow Jones Indices announced the corporate giant will be delisted when the stock market opens June 26.

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Single blood sample may be enough to ID type 2 diabetes

A single blood sample to test both fasting glucose and hemoglobin A1c (HbA1c) may be sufficient to identify people with undiagnosed type 2 diabetes, according to a study published June 19 in the Annals of Internal Medicine.

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Ransomware incidents down 17%—but threat of cyberattacks continues to grow

Cyberattacks are on the rise, but ransomware has declined 17 percent, according to ISACA’s State of Cybersecurity 2018 survey.

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Mayo Clinic, Medicalchain sign work agreement to explore blockchain

Medicalchain, providers of blockchain technology for the secure storage and transfer of electronic health records, have signed a joint work agreement with Mayo Clinic to improve blockchain technology utilization in healthcare.

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Radiology departments lose $1M a year due to no-shows

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Outpatient no-shows for scheduled imaging exams can cost a radiology department at a standard U.S. academic medical center as much as $1 million in lost revenue per year, according to a study published in Academic Radiology.

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Convolutional neural network reveals 'choices'—and why they were made—in classifying retinal images

A convolutional neural network (CNN) model performed as well as clinicians in classifying the area of concern in retinal fundus images and provided evidence for why those choices were made—a common problem for artificial intelligence (AI) technology.

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Lab uses eye-tracking device, AI to study impact of contextual bias on radiologists interpreting mammograms

mammogram ORNL Oak Ridge National Laboratory eye-tracking

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Credit: Hong-Jun Yoon/Oak Ridge National Laboratory, U.S. Dept. of Energy

Radiologists are “significantly influenced” by contextual bias when interpreting mammograms, according to a new study published in the Journal of Medical Imaging.

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Language processing algorithm 97.6% accurate using clinical data to detect disease symptoms

Researchers have developed a natural language processing algorithm, trained on clinical record data, capable of detecting disease symptoms with high accuracy, according to a study published June 15 in the JMIR Medical Informatics.

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