AI can help predict heart attacks, death on CCTA
June 25, 2019 -- An artificial intelligence (AI) algorithm can predict heart attacks and death better on coronary CT angiography (CCTA) studies than risk-assessment methods such as the Coronary Artery Disease Reporting and Data System, according to research published online June 25 in Radiology.
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June 25, 2019 -- An artificial intelligence (AI) algorithm can predict heart attacks and death better on coronary CT angiography (CCTA) studies than risk-assessment methods such as the Coronary Artery Disease Reporting and Data System, according to research published online June 25 in Radiology.
Discuss AI can improve reproducibility of radiomics in CT
June 24, 2019 -- An artificial intelligence (AI) algorithm may be able to help overcome one of the biggest issues limiting the clinical use of radiomics in CT -- the low reproducibility of quantitative imaging features on images from different reconstruction algorithms, according to research published online June 18 in Radiology.
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June 24, 2019 -- An artificial intelligence (AI) algorithm may be able to help overcome one of the biggest issues limiting the clinical use of radiomics in CT -- the low reproducibility of quantitative imaging features on images from different reconstruction algorithms, according to research published online June 18 in Radiology.
Discuss CAD improves ABUS novice reader performance
June 21, 2019 -- Computer-aided detection (CAD) systems help less experienced readers improve their performance in detecting breast cancer on automated breast ultrasound (ABUS) screening exams, according to a study published online June 18 in Radiology.
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June 21, 2019 -- Computer-aided detection (CAD) systems help less experienced readers improve their performance in detecting breast cancer on automated breast ultrasound (ABUS) screening exams, according to a study published online June 18 in Radiology.
Discuss AI enhances diagnostic performance in mammography
June 20, 2019 -- An artificial intelligence (AI) algorithm that analyzes mammograms and patient clinical information in electronic health records can accurately diagnose breast cancer -- even in many cases in which cancers are missed by radiologists, according to research published online June 18 in Radiology.
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June 20, 2019 -- An artificial intelligence (AI) algorithm that analyzes mammograms and patient clinical information in electronic health records can accurately diagnose breast cancer -- even in many cases in which cancers are missed by radiologists, according to research published online June 18 in Radiology.
Discuss Practical Considerations of AI: Part 4 -- Adoption
June 19, 2019 -- PACSman Michael J. Cannavo explores some potential applications for artificial intelligence (AI) in radiology and offers advice on how institutions can get started on the path to implementing the technology in part 4 of his Practical Considerations of AI series.
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June 19, 2019 -- PACSman Michael J. Cannavo explores some potential applications for artificial intelligence (AI) in radiology and offers advice on how institutions can get started on the path to implementing the technology in part 4 of his Practical Considerations of AI series.
Discuss AI converts low-dose CT scans to high-quality studies
June 12, 2019 -- An artificial intelligence (AI) algorithm can transform low-dose CT (LDCT) scans into high-quality exams that radiologists may even prefer over LDCT studies produced via commercial iterative reconstruction techniques, according to research published online June 10 in Nature Machine Intelligence.
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June 12, 2019 -- An artificial intelligence (AI) algorithm can transform low-dose CT (LDCT) scans into high-quality exams that radiologists may even prefer over LDCT studies produced via commercial iterative reconstruction techniques, according to research published online June 10 in Nature Machine Intelligence.
Discuss Deep learning helps detect intracranial aneurysms
June 10, 2019 -- A deep-learning algorithm called HeadXNet can improve the performance of clinicians of varied specialties and levels of experience for detecting intracranial aneurysms on head CT angiography exams, according to research published online June 7 in JAMA Network Open.
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June 10, 2019 -- A deep-learning algorithm called HeadXNet can improve the performance of clinicians of varied specialties and levels of experience for detecting intracranial aneurysms on head CT angiography exams, according to research published online June 7 in JAMA Network Open.
Discuss 6 ways AI will enhance musculoskeletal imaging
June 7, 2019 -- Artificial intelligence (AI) is poised to greatly improve all aspects of the musculoskeletal imaging chain, helping radiology practices be more efficient while still maintaining accuracy and report quality, according to an article published online June 5 in the American Journal of Roentgenology.
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June 7, 2019 -- Artificial intelligence (AI) is poised to greatly improve all aspects of the musculoskeletal imaging chain, helping radiology practices be more efficient while still maintaining accuracy and report quality, according to an article published online June 5 in the American Journal of Roentgenology.
Discuss CAD software helps stratify risk in lung cancer patients
June 6, 2019 -- By measuring the percentage of pulmonary fibrosis on CT exams in lung cancer patients, computer-aided detection (CAD) software can also detect and quantify the extent of interstitial lung abnormalities and help in risk stratification of these patients, according to research published online June 4 in Radiology.
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June 6, 2019 -- By measuring the percentage of pulmonary fibrosis on CT exams in lung cancer patients, computer-aided detection (CAD) software can also detect and quantify the extent of interstitial lung abnormalities and help in risk stratification of these patients, according to research published online June 4 in Radiology.
Discuss AI can trim mammography workload for radiologists
June 4, 2019 -- An artificial intelligence (AI) algorithm can sharply decrease the number of mammograms that require interpretation by radiologists -- without affecting diagnostic accuracy, according to research published online May 30 in the Journal of the American College of Radiology.
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June 4, 2019 -- An artificial intelligence (AI) algorithm can sharply decrease the number of mammograms that require interpretation by radiologists -- without affecting diagnostic accuracy, according to research published online May 30 in the Journal of the American College of Radiology.
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Industry News
Conferences
Conference on Artificial Intelligence in Medicine
June 26-29
Poznan Poland
June 26-29
Poznan Poland
Machine Learning for Health Care (MLHC)
August 8-10
Ann Arbor, Michigan United States
August 8-10
Ann Arbor, Michigan United States
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
Ai4 Healthcare Conference
November 11-12
New York City, New York United States
November 11-12
New York City, New York United States