New AI training model addresses data privacy concerns
October 14, 2019 -- A new approach to training artificial intelligence (AI) algorithms on imaging data from multiple institutions can produce high-performing models -- while still preserving patient privacy, according to new research from graphics processing unit technology developer Nvidia and King's College London.  Discuss
4 steps for physicians to influence AI legal issues
October 9, 2019 -- The adoption of artificial intelligence (AI) in clinical practice can engender complex medicolegal issues, but physicians can take certain actions to shape how liability determinations will play out, according to an article published online October 4 in the Journal of the American Medical Association.  Discuss
AI model could speed up pneumonia diagnosis in ED
October 4, 2019 -- An artificial intelligence (AI) algorithm for chest x-rays that was tested in real-time in the emergency department (ED) could improve the quality of care for patients suspected to have pneumonia, according to research presented on September 30 at the European Respiratory Society International Congress in Madrid.  Discuss
Societies team up to promote ethics in radiology AI
October 2, 2019 -- The adoption of artificial intelligence (AI) in radiology engenders complex societal and ethical issues, and it's time to begin developing codes of ethics and practice for the technology, according to a statement published October 2 by seven radiology and imaging informatics organizations in North America and Europe.  Discuss
AI algorithm can accurately diagnose appendicitis
October 1, 2019 -- By analyzing lab values and ultrasound data, an artificial intelligence (AI) algorithm can be highly accurate for diagnosing acute appendicitis and could potentially help avoid unnecessary surgery in two-thirds of patients without appendicitis, according to research published online September 25 in PLOS One.  Discuss
Video from C-MIMI 2019: Dr. Eliot Siegel on clinical adoption of AI
September 30, 2019 -- AUSTIN, TX - In a video interview, Dr. Eliot Siegel of the University of Maryland shared his highlights from the Society for Imaging Informatics in Medicine's Conference on Machine Intelligence in Medical Imaging (C-MIMI). He also offered his perspective on what's needed to drive the clinical adoption of artificial intelligence (AI) in radiology.  Discuss
Video from C-MIMI 2019: Paul Nagy on the state of AI research
September 26, 2019 -- AUSTIN, TX - A focus on clinical applications and a broader scope for artificial intelligence (AI) algorithms were among the research highlights at the Society for Imaging Informatics in Medicine's Conference on Machine Intelligence in Medical Imaging (C-MIMI) this week, said Paul Nagy, PhD, of Johns Hopkins University in a video interview.  Discuss
Video from C-MIMI 2019: Dr. Bradley Erickson on key AI trends
September 24, 2019 -- AUSTIN, TX - Dr. Bradley Erickson, PhD, of the Mayo Clinic in Rochester, MN, discussed several important trends in artificial intelligence (AI) for medical imaging in a video interview at the Society for Imaging Informatics in Medicine's Conference on Machine Intelligence in Medical Imaging (C-MIMI).  Discuss
What can AI do to speed up cardiac MRI interpretations?
September 24, 2019 -- Artificial intelligence (AI) can dramatically reduce the time it takes to analyze heart function on cardiac MRI scans with no significant difference in accuracy compared to human interpreters, according to a study published online September 24 in Circulation: Cardiovascular Imaging.  Discuss
C-MIMI: AI could cut mammography workload in half
September 23, 2019 -- AUSTIN, TX - An artificial intelligence (AI) algorithm could cut in half the number of screening mammograms that need to be interpreted by radiologists by directing them only to cases most likely to contain cancer, according to research presented on Sunday at the Society for Imaging Informatics in Medicine's Conference on Machine Intelligence in Medical Imaging (C-MIMI).  Discuss