Data biases for AI could worsen healthcare disparities
August 21, 2019 -- Careful stewardship of the integrity of big data is crucial to ensure that inherent biases contained in datasets used to train artificial intelligence (AI) algorithms don't make existing disparities in healthcare even worse, according to an article published online August 19 in npj Digital Medicine.
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August 21, 2019 -- Careful stewardship of the integrity of big data is crucial to ensure that inherent biases contained in datasets used to train artificial intelligence (AI) algorithms don't make existing disparities in healthcare even worse, according to an article published online August 19 in npj Digital Medicine.
Discuss Preparing healthcare IT architecture for AI: Part 2
August 20, 2019 -- Preparing IT architecture for artificial intelligence (AI) and business intelligence and analytics in radiology requires a broad strategic architectural perspective and governance that often have been lacking at healthcare institutions, according to Dr. Paul Chang of the University of Chicago.
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August 20, 2019 -- Preparing IT architecture for artificial intelligence (AI) and business intelligence and analytics in radiology requires a broad strategic architectural perspective and governance that often have been lacking at healthcare institutions, according to Dr. Paul Chang of the University of Chicago.
Discuss Preparing healthcare IT architecture for AI: Part 1
August 16, 2019 -- The widespread adoption of artificial intelligence (AI) in radiology could be delayed by significant architectural shortcomings in current healthcare IT infrastructure, according to Dr. Paul Chang of the University of Chicago. He spoke on Thursday in a webinar held by the Society for Imaging Informatics in Medicine (SIIM).
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August 16, 2019 -- The widespread adoption of artificial intelligence (AI) in radiology could be delayed by significant architectural shortcomings in current healthcare IT infrastructure, according to Dr. Paul Chang of the University of Chicago. He spoke on Thursday in a webinar held by the Society for Imaging Informatics in Medicine (SIIM).
Discuss AI can find patients at risk for MRI safety issues
August 16, 2019 -- Using artificial intelligence (AI) to analyze clinical reports in electronic health records can accurately identify patients who have implantable devices that pose a safety risk for MRI exams, according to research published online August 12 in the Journal of the American College of Radiology.
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August 16, 2019 -- Using artificial intelligence (AI) to analyze clinical reports in electronic health records can accurately identify patients who have implantable devices that pose a safety risk for MRI exams, according to research published online August 12 in the Journal of the American College of Radiology.
Discuss AI, plaque quantification predicts cardiac outcomes
August 13, 2019 -- The combination of plaque quantified on coronary CT angiography and artificial intelligence (AI)-powered fractional flow reserve analysis can accurately predict future major adverse cardiac events, according to research published online August 8 in the American Journal of Cardiology.
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August 13, 2019 -- The combination of plaque quantified on coronary CT angiography and artificial intelligence (AI)-powered fractional flow reserve analysis can accurately predict future major adverse cardiac events, according to research published online August 8 in the American Journal of Cardiology.
Discuss The value of the CIIP: Part 5 -- AI
August 12, 2019 -- Artificial intelligence (AI) offers the potential to dramatically impact radiology. In the final article of his series, Luke Bideaux describes how certified imaging informatics professionals (CIIPs) can play a crucial role in transforming medical imaging through the strategic implementation of AI technology.
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August 12, 2019 -- Artificial intelligence (AI) offers the potential to dramatically impact radiology. In the final article of his series, Luke Bideaux describes how certified imaging informatics professionals (CIIPs) can play a crucial role in transforming medical imaging through the strategic implementation of AI technology.
Discuss AI may help cut back on overutilization of CT for PE
August 8, 2019 -- An artificial intelligence (AI) algorithm can predict -- from electronic medical record data -- if a patient is likely to have a pulmonary embolism (PE) prior to receiving CT pulmonary angiography, potentially avoiding unnecessary scans, according to research published online August 7 in JAMA Network Open.
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August 8, 2019 -- An artificial intelligence (AI) algorithm can predict -- from electronic medical record data -- if a patient is likely to have a pulmonary embolism (PE) prior to receiving CT pulmonary angiography, potentially avoiding unnecessary scans, according to research published online August 7 in JAMA Network Open.
Discuss AI shows promise for reducing mammography workload
August 7, 2019 -- An artificial intelligence (AI) algorithm can improve the specificity of mammography interpretation without affecting sensitivity and reduce the mammography workload for radiologists by nearly one-fifth, according to a new study published online August 6 in Radiology.
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August 7, 2019 -- An artificial intelligence (AI) algorithm can improve the specificity of mammography interpretation without affecting sensitivity and reduce the mammography workload for radiologists by nearly one-fifth, according to a new study published online August 6 in Radiology.
Discuss AI-based model enhances diagnosis of brain MRI exams
August 7, 2019 -- An artificial intelligence (AI)-based model that mimics a radiologist's image interpretation process can provide automated diagnosis of brain MRI exams at a level comparable to an academic neuroradiologist, according to researchers from the Hospital of the University of Pennsylvania in Philadelphia.
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August 7, 2019 -- An artificial intelligence (AI)-based model that mimics a radiologist's image interpretation process can provide automated diagnosis of brain MRI exams at a level comparable to an academic neuroradiologist, according to researchers from the Hospital of the University of Pennsylvania in Philadelphia.
Discuss AI algorithm could reduce wrong-side medical mistakes
August 5, 2019 -- Wrong-side medical procedures are among the most devastating -- and preventable -- errors in healthcare. But what if you could stop wrong-side mistakes simply by analyzing radiographs with a machine-learning algorithm? A research group gave the idea a try and described their findings in the August edition of the Journal of Digital Imaging.
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August 5, 2019 -- Wrong-side medical procedures are among the most devastating -- and preventable -- errors in healthcare. But what if you could stop wrong-side mistakes simply by analyzing radiographs with a machine-learning algorithm? A research group gave the idea a try and described their findings in the August edition of the Journal of Digital Imaging.
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Organ Imaging Review
September 20-22
Toronto, Ontario Canada
September 20-22
Toronto, Ontario Canada
Machine Intelligence in Medical imaging (C-MIMI)
September 22-23
Austin, Texas United States
September 22-23
Austin, Texas United States
Texas Children's Symposium on AI in Pediatric Radiology
October 28-29
Houston, Texas United States
October 28-29
Houston, Texas United States
Ai4 Healthcare Conference
November 11-12
New York City, New York United States
November 11-12
New York City, New York United States
AIMed 2019
December 11-14
Dana Point, California United States
December 11-14
Dana Point, California United States