What issues are hindering AI's utility in radiology?
February 26, 2020 -- Artificial intelligence (AI) technology has much potential in radiology, but several key issues are limiting its current clinical utility, according to a presentation on Tuesday at a public workshop held by the U.S. Food and Drug Administration on the evolving role of AI in radiology.
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February 26, 2020 -- Artificial intelligence (AI) technology has much potential in radiology, but several key issues are limiting its current clinical utility, according to a presentation on Tuesday at a public workshop held by the U.S. Food and Drug Administration on the evolving role of AI in radiology.
Discuss AI predicts heart attack, stroke on cardiac MRI
February 21, 2020 -- An artificial intelligence (AI) algorithm that quantifies blood flow on cardiac MRI can predict -- perhaps better than a physician can -- if a patient will have a heart attack or a stroke, according to research published online February 14 in Circulation.
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February 21, 2020 -- An artificial intelligence (AI) algorithm that quantifies blood flow on cardiac MRI can predict -- perhaps better than a physician can -- if a patient will have a heart attack or a stroke, according to research published online February 14 in Circulation.
Discuss AI in radiology? Patients are cautiously optimistic
February 19, 2020 -- Patients are optimistic about the use of artificial intelligence (AI) in radiology, with a caveat: They don't want AI technology to break the connection between patient and care provider, according to a case study published February 14 in the Journal of the American College of Radiology.
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February 19, 2020 -- Patients are optimistic about the use of artificial intelligence (AI) in radiology, with a caveat: They don't want AI technology to break the connection between patient and care provider, according to a case study published February 14 in the Journal of the American College of Radiology.
Discuss AI improves reader performance for ABUS studies
February 14, 2020 -- An artificial intelligence (AI) algorithm could potentially help radiologists and other physicians improve their ability to classify lesions on automated breast ultrasound (ABUS) exams, according to research published online February 12 in Ultrasound in Medicine and Biology.
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February 14, 2020 -- An artificial intelligence (AI) algorithm could potentially help radiologists and other physicians improve their ability to classify lesions on automated breast ultrasound (ABUS) exams, according to research published online February 12 in Ultrasound in Medicine and Biology.
Discuss CT radiomics unlocks basal ganglia stroke onset time
February 11, 2020 -- The combination of radiomics and a machine-learning algorithm can determine on CT if an ischemic stroke in the basal ganglia occurred within the window of time in which a stroke patient can still receive thrombolysis, according to research published online February 10 in the Journal of the Neurological Sciences.
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February 11, 2020 -- The combination of radiomics and a machine-learning algorithm can determine on CT if an ischemic stroke in the basal ganglia occurred within the window of time in which a stroke patient can still receive thrombolysis, according to research published online February 10 in the Journal of the Neurological Sciences.
Discuss AI boosts radiologists' mammography performance
February 10, 2020 -- An artificial intelligence (AI) algorithm trained with a large set of mammography data outperformed radiologists when it came to identifying breast cancer in a new study, but it also helped them improve their own performance, according to research published online February 6 in Lancet Digital Health.
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February 10, 2020 -- An artificial intelligence (AI) algorithm trained with a large set of mammography data outperformed radiologists when it came to identifying breast cancer in a new study, but it also helped them improve their own performance, according to research published online February 6 in Lancet Digital Health.
Discuss AI predicts progression of osteoarthritis on x-rays
February 10, 2020 -- An artificial intelligence (AI) algorithm can predict how osteoarthritis will progress over four years based on analysis of baseline knee x-rays and other risk factors, according to research published online February 6 in Osteoarthritis and Cartilage.
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February 10, 2020 -- An artificial intelligence (AI) algorithm can predict how osteoarthritis will progress over four years based on analysis of baseline knee x-rays and other risk factors, according to research published online February 6 in Osteoarthritis and Cartilage.
Discuss 14 ways AI can improve the business of radiology
February 7, 2020 -- Business analytics based on artificial intelligence (AI) can create value for radiology practices by improving processes, optimizing resources, and enhancing workflow, according to an article published in the current issue of Seminars in Musculoskeletal Radiology.
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February 7, 2020 -- Business analytics based on artificial intelligence (AI) can create value for radiology practices by improving processes, optimizing resources, and enhancing workflow, according to an article published in the current issue of Seminars in Musculoskeletal Radiology.
Discuss AI may help improve management of stroke patients
February 5, 2020 -- Artificial intelligence (AI) algorithms can determine from multiparametric MRI exams if a stroke patient's symptoms began within 4.5 hours -- the recommended window of time for a patient to be treated with thrombolysis, according to research published online January 28 in Stroke.
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February 5, 2020 -- Artificial intelligence (AI) algorithms can determine from multiparametric MRI exams if a stroke patient's symptoms began within 4.5 hours -- the recommended window of time for a patient to be treated with thrombolysis, according to research published online January 28 in Stroke.
Discuss AI helps characterize breast masses on ultrasound
February 4, 2020 -- A breast ultrasound artificial intelligence (AI) algorithm was able to differentiate breast masses at a high level of accuracy by combining analysis of B-mode and color Doppler images, according to research published online January 31 in European Radiology. It even yielded comparable performance to experienced radiologists.
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February 4, 2020 -- A breast ultrasound artificial intelligence (AI) algorithm was able to differentiate breast masses at a high level of accuracy by combining analysis of B-mode and color Doppler images, according to research published online January 31 in European Radiology. It even yielded comparable performance to experienced radiologists.
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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
Steamboat Springs 2020: MR and CT Advanced Imaging and Artificial Intelligence
March 1-6
Steamboat Springs, Colorado United States
March 1-6
Steamboat Springs, Colorado United States
Artificial Intelligence and Machine Learning in Cardiovascular CT Meeting
April 24-26
New York, New York United States
April 24-26
New York, New York United States
Computer Assisted Radiology and Surgery (CARS) 2020
June 23-27
Munich, Bayern Germany
June 23-27
Munich, Bayern Germany
Machine Learning for Healthcare (MLHC)
August 6-8
Durham, North Carolina United States
August 6-8
Durham, North Carolina United States
Conference on Artificial Intelligence in Medicine (AIME)
August 26-29
Minneapolis, Minnesota United States
August 26-29
Minneapolis, Minnesota United States