AMVC Fall 2020: AI can improve efficiency, reduce stress
September 24, 2020 -- The second article in a two-part series on Dr. Eliot Siegel's presentation at AuntMinnie.com's Fall 2020 Virtual Conference (AMVC) details how artificial intelligence (AI) could help radiologists be more efficient and productive -- as well as less stressed -- during and after the COVID-19 pandemic.
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September 24, 2020 -- The second article in a two-part series on Dr. Eliot Siegel's presentation at AuntMinnie.com's Fall 2020 Virtual Conference (AMVC) details how artificial intelligence (AI) could help radiologists be more efficient and productive -- as well as less stressed -- during and after the COVID-19 pandemic.
Discuss Will Medicare reimbursement propel radiology AI market?
September 23, 2020 -- The decision by the U.S. Centers for Medicare and Medicaid Services' earlier this month to provide its first-ever reimbursement of a radiology artificial intelligence (AI) algorithm was a significant milestone for the industry, raising hopes that it could set the groundwork for broader coverage of imaging AI software.
Discuss
September 23, 2020 -- The decision by the U.S. Centers for Medicare and Medicaid Services' earlier this month to provide its first-ever reimbursement of a radiology artificial intelligence (AI) algorithm was a significant milestone for the industry, raising hopes that it could set the groundwork for broader coverage of imaging AI software.
Discuss AMVC Fall 2020: AI can reshape radiology post-COVID-19
September 23, 2020 -- Artificial intelligence (AI) can help radiology navigate challenges related to remote practice and extreme variation in imaging volume caused by the COVID-19 pandemic, according to the first of a two-part article series on a presentation by Dr. Eliot Siegel at AuntMinnie.com's Fall 2020 Virtual Conference (AMVC).
Discuss
September 23, 2020 -- Artificial intelligence (AI) can help radiology navigate challenges related to remote practice and extreme variation in imaging volume caused by the COVID-19 pandemic, according to the first of a two-part article series on a presentation by Dr. Eliot Siegel at AuntMinnie.com's Fall 2020 Virtual Conference (AMVC).
Discuss AMVC Fall 2020: 6 ways rads can improve perception of AI
September 22, 2020 -- As the development of artificial intelligence (AI) tools for healthcare continues, so does the debate about whether incorporating it into patient care will put physicians -- especially radiologists -- out of a job.
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September 22, 2020 -- As the development of artificial intelligence (AI) tools for healthcare continues, so does the debate about whether incorporating it into patient care will put physicians -- especially radiologists -- out of a job.
Discuss AI plus CT improves liver steatosis assessment
September 22, 2020 -- Artificial intelligence (AI) used with contrast-enhanced abdominal CT makes the modality more suited to assess liver steatosis, according to a study published online September 16 in the American Journal of Roentgenology.
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September 22, 2020 -- Artificial intelligence (AI) used with contrast-enhanced abdominal CT makes the modality more suited to assess liver steatosis, according to a study published online September 16 in the American Journal of Roentgenology.
Discuss Practical Considerations of AI: Part 7 -- Economics
September 21, 2020 -- In part 7 of his Practical Considerations of AI series, consultant Michael J. Cannavo analyzes the impact of the recent decision by the U.S. Centers for Medicaid and Medicaid Services to provide reimbursement for Viz.ai's AI stroke detection software and explains why better AI market education is needed.
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September 21, 2020 -- In part 7 of his Practical Considerations of AI series, consultant Michael J. Cannavo analyzes the impact of the recent decision by the U.S. Centers for Medicaid and Medicaid Services to provide reimbursement for Viz.ai's AI stroke detection software and explains why better AI market education is needed.
Discuss AI can enhance evaluation of cancer response over time
September 18, 2020 -- Radiology reports created with help from artificial intelligence (AI) are more accurate and faster to produce than current reporting methods in evaluating the response of advanced cancer to treatment over time, according to research presented at the recent Conference on Machine Intelligence in Medical Imaging.
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September 18, 2020 -- Radiology reports created with help from artificial intelligence (AI) are more accurate and faster to produce than current reporting methods in evaluating the response of advanced cancer to treatment over time, according to research presented at the recent Conference on Machine Intelligence in Medical Imaging.
Discuss C-MIMI: AI peer review can spot missed lung cancer
September 15, 2020 -- A peer review process that's driven by artificial intelligence (AI) can identify lung nodules that were overlooked by radiologists on CT exams, potentially enabling early detection of cancers that would have otherwise been missed, according to a Monday talk at the Conference on Machine Intelligence in Medical Imaging (C-MIMI).
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September 15, 2020 -- A peer review process that's driven by artificial intelligence (AI) can identify lung nodules that were overlooked by radiologists on CT exams, potentially enabling early detection of cancers that would have otherwise been missed, according to a Monday talk at the Conference on Machine Intelligence in Medical Imaging (C-MIMI).
Discuss C-MIMI: Use of AI in radiology is evolving
September 14, 2020 -- The use of artificial intelligence (AI) in radiology to aid in image interpretation tasks is evolving, but many of the old factors and concepts from the computer-aided detection era still remain, according to a Sunday talk at the Conference on Machine Intelligence in Medical Imaging (C-MIMI).
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September 14, 2020 -- The use of artificial intelligence (AI) in radiology to aid in image interpretation tasks is evolving, but many of the old factors and concepts from the computer-aided detection era still remain, according to a Sunday talk at the Conference on Machine Intelligence in Medical Imaging (C-MIMI).
Discuss CT radiomics predicts esophageal cancer outcomes
September 11, 2020 -- Machine-learning models that assess both peritumoral and intratumoral radiomics features on pretreatment CT images can yield a promising level of performance for predicting treatment outcomes in patients with esophageal squamous cell carcinoma, according to research published online September 10 in JAMA Network Open.
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September 11, 2020 -- Machine-learning models that assess both peritumoral and intratumoral radiomics features on pretreatment CT images can yield a promising level of performance for predicting treatment outcomes in patients with esophageal squamous cell carcinoma, according to research published online September 10 in JAMA Network Open.
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Special Feature
Video from RSNA 2019: Dr. Paul Chang on AI and radiology
Dr. Paul Chang of the University of Chicago shares his views on how recent changes in artificial intelligence promise to reshape medical imaging. Learn more
Industry News
Conferences
Artificial Intelligence in Oncology (AIO) Symposium: Advancing Science and Policy
October 19-20
Online
October 19-20
Online
21st Annual Vail 2021: MR and CT Advanced Imaging and Artificial Intelligence
February 21-26, 2021
Vail, Colorado United States
February 21-26, 2021
Vail, Colorado United States
9th Snowmass 2021: Hot Topics in Radiology: Advanced Application and Artificial Intelligence
Feb. 28 - Mar. 5, 2021
Snowmass, Colorado United States
Feb. 28 - Mar. 5, 2021
Snowmass, Colorado United States