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New framework promotes ethical, secure data sharing for developing AI

Artificial intelligence (AI) has been one of the biggest stories in healthcare for years, but many clinicians still remain unsure about how, exactly, they should be using AI to help their patients. A new analysis in European Heart Journal explored that exact issue, providing cardiology professionals with a step-by-step breakdown of how to get the most out of this potentially game-changing technology.

Stanford University School of Medicine clinicians detailed their suggestions to spur the development of artificial intelligence Tuesday in Radiology.

  • Read more about New framework promotes ethical, secure data sharing for developing AI

3 priorities for radiology departments to protect staff, patients against coronavirus

Experts from West China Hospital explained the reconfiguration of their unit, standardized exam procedures and communication priorities in a study published Tuesday.

  • Read more about 3 priorities for radiology departments to protect staff, patients against coronavirus

Digital PET/CT roots out smaller cancers with quicker imaging times

Clinicians using this modern machine can get a more accurate contrast measurement and improve their cancer diagnosis, researchers wrote in the Journal of Nuclear Medicine.

  • Read more about Digital PET/CT roots out smaller cancers with quicker imaging times

Machine learning scans MRIs to diagnose specific forms of muscular dystrophy

Researchers from Spain used nearly 1,000 pelvic and lower limb MRIs, displaying various forms of the disease, to create their model.

  • Read more about Machine learning scans MRIs to diagnose specific forms of muscular dystrophy

PSMA PET/CT tops conventional imaging for pinpointing high-risk cancer

prostate cancer PET/CT

Australian researchers also recommended updating current diagnostic pathways to incorporate the new molecular imaging approach.

  • Read more about PSMA PET/CT tops conventional imaging for pinpointing high-risk cancer

X-ray emerges as frontline tool for coronavirus: 3 lessons from radiologists battling the pandemic

Chest imaging experts at the center of the U.K.'s COVID-19 outbreak shared their early learnings in a new BMJ opinion piece.

  • Read more about X-ray emerges as frontline tool for coronavirus: 3 lessons from radiologists battling the pandemic

AI extracts imaging data to predict lung cancer treatment response

“With AI, cancer imaging can move from an inherently subjective tool to a quantitative and objective asset for precision medicine approaches," Columbia University Irving Medical Center radiologists wrote Friday.

  • Read more about AI extracts imaging data to predict lung cancer treatment response

ACR outlines 10 priorities to steer federal oversight of artificial intelligence

AI

The college shared high-level principles in its comments submitted to the White House Office of Management and Budget, emphasizing validation, transparency and safety.

  • Read more about ACR outlines 10 priorities to steer federal oversight of artificial intelligence

Many patients have COVID-19 lung abnormalities at discharge; follow-up imaging may be necessary

Lungs

More than 90% of individuals with the new virus still had lingering irregularities on their CT scans when they left the hospital, experts wrote recently in Radiology.

  • Read more about Many patients have COVID-19 lung abnormalities at discharge; follow-up imaging may be necessary

New MRI contrast agent detects cancers before they spread to the brain

The material increases magentic resonance sensitivity so that providers can visualize abnormal tissue changes indicative of metastasis.

  • Read more about New MRI contrast agent detects cancers before they spread to the brain

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