AI can identify, triage abnormal chest x-rays
January 22, 2019 -- An artificial intelligence (AI) algorithm was able to accurately identify chest radiographs that contain abnormal findings, enabling automated triage of these exams so they can be interpreted sooner by radiologists, U.K. researchers reported in a study published online January 22 in Radiology.
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January 22, 2019 -- An artificial intelligence (AI) algorithm was able to accurately identify chest radiographs that contain abnormal findings, enabling automated triage of these exams so they can be interpreted sooner by radiologists, U.K. researchers reported in a study published online January 22 in Radiology.
Discuss How AI will become an integral part of standard care
January 17, 2019 -- The current medical landscape for artificial intelligence (AI) allows for early adopters to embrace AI innovation with ease, yet it has left the majority of medical institutions struggling to catch up. Elad Walach and Dr. Carl Aschkenasi examine what needs to happen for AI to become an integral part of the standard of care.
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January 17, 2019 -- The current medical landscape for artificial intelligence (AI) allows for early adopters to embrace AI innovation with ease, yet it has left the majority of medical institutions struggling to catch up. Elad Walach and Dr. Carl Aschkenasi examine what needs to happen for AI to become an integral part of the standard of care.
Discuss AI can differentiate glioblastoma, brain metastasis
January 16, 2019 -- The combination of radiomics and an artificial intelligence (AI) algorithm can yield a high rate of accuracy for differentiating between glioblastoma and solitary brain metastasis on T1-weighted MRI exams, according to research published online January 11 in the Journal of Magnetic Resonance Imaging.
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January 16, 2019 -- The combination of radiomics and an artificial intelligence (AI) algorithm can yield a high rate of accuracy for differentiating between glioblastoma and solitary brain metastasis on T1-weighted MRI exams, according to research published online January 11 in the Journal of Magnetic Resonance Imaging.
Discuss Machine learning, fMRI unlock cellular brain properties
January 11, 2019 -- The combination of machine learning and functional MRI (fMRI) can reveal the cellular properties of brain regions, offering potential for noninvasive assessment of treatments for neurological diseases and the use of individualized therapies, according to research published online January 9 in Science Advances.
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January 11, 2019 -- The combination of machine learning and functional MRI (fMRI) can reveal the cellular properties of brain regions, offering potential for noninvasive assessment of treatments for neurological diseases and the use of individualized therapies, according to research published online January 9 in Science Advances.
Discuss AI bolsters diagnostic accuracy of thyroid ultrasound
January 7, 2019 -- Can an artificial intelligence (AI) algorithm enhance the diagnostic accuracy of radiologists in detecting thyroid cancer on ultrasound studies? Yes, it can, according to research published online December 21 in Lancet Oncology.
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January 7, 2019 -- Can an artificial intelligence (AI) algorithm enhance the diagnostic accuracy of radiologists in detecting thyroid cancer on ultrasound studies? Yes, it can, according to research published online December 21 in Lancet Oncology.
Discuss AI could help radiologists track follow-up advice
January 4, 2019 -- Artificial intelligence (AI) algorithms can identify follow-up recommendations included in radiology reports, potentially giving radiologists a tool to ensure their recommendations have been followed, according to research published online December 29 in the Journal of the American College of Radiology.
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January 4, 2019 -- Artificial intelligence (AI) algorithms can identify follow-up recommendations included in radiology reports, potentially giving radiologists a tool to ensure their recommendations have been followed, according to research published online December 29 in the Journal of the American College of Radiology.
Discuss AI uses features outside nodules to predict malignancy
December 19, 2018 -- An artificial intelligence (AI) algorithm was able to distinguish benign from malignant nodules in cases of suspected non-small cell lung cancer on CT scans by analyzing the area immediately outside of the nodule, according to a December 18 paper in Radiology by researchers from Case Western Reserve University.
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December 19, 2018 -- An artificial intelligence (AI) algorithm was able to distinguish benign from malignant nodules in cases of suspected non-small cell lung cancer on CT scans by analyzing the area immediately outside of the nodule, according to a December 18 paper in Radiology by researchers from Case Western Reserve University.
Discuss AI could bring ultralow-dose imaging to amyloid PET
December 18, 2018 -- With the help of artificial intelligence (AI), researchers have developed a way to generate diagnostic-quality images from PET/MR scans to detect amyloid deposits with considerably less radiotracer dose. Their findings were published online December 11 in Radiology.
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December 18, 2018 -- With the help of artificial intelligence (AI), researchers have developed a way to generate diagnostic-quality images from PET/MR scans to detect amyloid deposits with considerably less radiotracer dose. Their findings were published online December 11 in Radiology.
Discuss New algorithm overcomes imaging AI challenges
December 17, 2018 -- Researchers have developed a new artificial intelligence (AI) algorithm designed to address two of the biggest challenges in imaging AI: its "black box" nature and the need for large amounts of image data to train the models, according to a study published online December 17 in Nature Biomedical Engineering.
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December 17, 2018 -- Researchers have developed a new artificial intelligence (AI) algorithm designed to address two of the biggest challenges in imaging AI: its "black box" nature and the need for large amounts of image data to train the models, according to a study published online December 17 in Nature Biomedical Engineering.
Discuss Dual-energy mammography plus AI could reduce biopsies
December 12, 2018 -- A new mammography technique that uses an artificial intelligence (AI) algorithm to map the biological tissue composition of tumors on dual-energy mammography images could help reduce unnecessary biopsies, according to a study published online December 11 in Radiology.
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December 12, 2018 -- A new mammography technique that uses an artificial intelligence (AI) algorithm to map the biological tissue composition of tumors on dual-energy mammography images could help reduce unnecessary biopsies, according to a study published online December 11 in Radiology.
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Special Feature
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Conferences
Vail 2019: MR and CT Advanced Imaging and Artificial Intelligence
February 3-8
Vail, Colorado United States
February 3-8
Vail, Colorado United States
Snowmass 2019: Hot Topics in Radiology: Advanced Applications and Artificial Intelligence
February 10-15
Snowmass, Colorado United States
February 10-15
Snowmass, Colorado United States
Computer Assisted Radiology and Surgery (CARS) 2019
June 18-21
Rennes, Bretagne France
June 18-21
Rennes, Bretagne France