Health Imaging spoke with Eliot Siegel, MD, before this year’s SIIM Conference on Machine Intelligence in Medical Imaging to learn more about challenges and opportunities related to artificial intelligence (AI) in medical imaging, how AI and machine learning should be incorporated into clinical applications and what the future holds for AI.
Health Imaging spoke with the FDA about its regulation process for machine learning-based medical imaging devices and applications, how the medical imaging industry may benefit from machine learning technologies and more.
With the Radiological Society of North America (RSNA)'s 2018 annual conference fast-approaching, Steve Holloway, with U.K.-based healthcare technology consultancy Signify Research, identified four trends expected to emerge at the 104th meeting on Nov. 25 to 30 in Chicago.
Adding fluorine-18 (18F)-fluciclovine PET/CT to the diagnostic treatment plan of patients with biochemical recurrence of prostate cancer can identify previously undetected lesions and alter treatment management for patients with the disease.
Private practices face different informatics challenges than larger institutions, but Adam H. Kaye, MD, with Advanced Radiology Consultants in Bridgeport, Connecticut, believes there are a number of areas radiologists can focus on to show value to the institution and drive profits.
Chris Roth, MD, PhD and vice chair of information technology and clinical informatics at Duke University Medical Center once led a enterprise imaging initiative that resulted in hard times for the hospital and himself—but he helped implement a governance strategy so his mistakes are never repeated.
PET imaging may better predict long-term benefits and guide discontinuation of therapy compared to standard contrast CT for patients with metastatic melanoma, according to findings presented at the 2018 American Society of Clinical Oncology (ASCO) annual meeting in Chicago.
A group of imaging leaders took to the stage during a session at the Society for Imaging informatics in Medicine (SIIM) 2018 annual meeting to share memorable hardships related to imaging informatics and what they learned.
Research presented at ASCO 2018 found that using contrast perfusion-weighted MRI enhanced by artificial intelligence (AI) and texture analysis can differentiate between brain tumors according to their mutation status.
Michael Recht, MD, chairman of the department of radiology at NYU Langone Medical Center, said, during a session at SIIM's 2018 annual meeting, that data need to be accurate, customizable, actionable and accessible for a strong analytics program.
The Society for Imaging Informatics in Medicine’s 2018 annual meeting wrapped up with a keynote address from Curt Langlotz, MD, PhD, with Stanford University, on the rise of artificial intelligence (AI).
A group of panelists at the Society for Imaging Informatics in Medicine (SIIM)'s annual meeting say radiology and pathology must partner to advance both specialties, with a Google-like capability for clinicians as one possible goal.