AI enables screening of fracture risk from CT scans
January 27, 2020 -- Patients at risk for osteoporotic fractures can be identified through their routine chest or abdomen CT scans thanks to an artificial intelligence (AI) algorithm tested in Israel, according to research published online January 13 in Nature Medicine.
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January 27, 2020 -- Patients at risk for osteoporotic fractures can be identified through their routine chest or abdomen CT scans thanks to an artificial intelligence (AI) algorithm tested in Israel, according to research published online January 13 in Nature Medicine.
Discuss Deep learning of x-rays helps predict pulmonary blood flow
January 22, 2020 -- A deep-learning algorithm that analyzed chest x-rays was able to predict pulmonary to systemic blood flow just as well as clinicians. The finding could give healthcare providers a better way to determine which patients with congenital heart disease require intervention, according to a January 22 article in JAMA Cardiology.
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January 22, 2020 -- A deep-learning algorithm that analyzed chest x-rays was able to predict pulmonary to systemic blood flow just as well as clinicians. The finding could give healthcare providers a better way to determine which patients with congenital heart disease require intervention, according to a January 22 article in JAMA Cardiology.
Discuss FDA finalizes easier rules for CADe software
January 21, 2020 -- The U.S. Food and Drug Administration (FDA) has finalized rules that make it easier for developers of computer-aided detection (CADe) software to win regulatory clearance for their products. Certain CADe products can now be classified as class II devices.
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January 21, 2020 -- The U.S. Food and Drug Administration (FDA) has finalized rules that make it easier for developers of computer-aided detection (CADe) software to win regulatory clearance for their products. Certain CADe products can now be classified as class II devices.
Discuss AI can accurately classify cerebral aneurysm rupture status
January 17, 2020 -- An artificial intelligence (AI) algorithm is able to classify the rupture status of cerebral aneurysms with a promising level of accuracy, even outperforming experienced neurosurgeons, according to research published January 15 in Radiology: Artificial Intelligence.
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January 17, 2020 -- An artificial intelligence (AI) algorithm is able to classify the rupture status of cerebral aneurysms with a promising level of accuracy, even outperforming experienced neurosurgeons, according to research published January 15 in Radiology: Artificial Intelligence.
Discuss AI can differentiate small renal masses on CT
January 10, 2020 -- An artificial intelligence (AI) algorithm can accurately differentiate between benign and malignant small solid masses on multiphase contrast-enhanced CT scans, Japanese researchers reported in a study published online January 8 in the American Journal of Roentgenology.
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January 10, 2020 -- An artificial intelligence (AI) algorithm can accurately differentiate between benign and malignant small solid masses on multiphase contrast-enhanced CT scans, Japanese researchers reported in a study published online January 8 in the American Journal of Roentgenology.
Discuss AI performs well in large-scale breast screening study
January 2, 2020 -- In a large-scale study that replicated real-world breast screening conditions, an artificial intelligence (AI) algorithm performed well in interpreting mammograms, reducing both false positives and false negatives. The findings were published January 1 in Nature.
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January 2, 2020 -- In a large-scale study that replicated real-world breast screening conditions, an artificial intelligence (AI) algorithm performed well in interpreting mammograms, reducing both false positives and false negatives. The findings were published January 1 in Nature.
Discuss AI beats density for predicting breast cancer risk
December 17, 2019 -- An artificial intelligence (AI) algorithm that analyzes negative screening mammography exams yielded better predictions for a woman's future risk of breast cancer than risk models based on breast density measurements in a recent study, published online December 17 in Radiology.
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December 17, 2019 -- An artificial intelligence (AI) algorithm that analyzes negative screening mammography exams yielded better predictions for a woman's future risk of breast cancer than risk models based on breast density measurements in a recent study, published online December 17 in Radiology.
Discuss AI can accurately predict uterine fibroid embolization outcomes
December 13, 2019 -- An artificial intelligence (AI) algorithm's analysis of MRI exams performed prior to uterine fibroid embolization can be more accurate than radiologists in predicting whether the procedure will be successful, according to research presented at the recent RSNA 2019 meeting in Chicago.
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December 13, 2019 -- An artificial intelligence (AI) algorithm's analysis of MRI exams performed prior to uterine fibroid embolization can be more accurate than radiologists in predicting whether the procedure will be successful, according to research presented at the recent RSNA 2019 meeting in Chicago.
Discuss AI-cyberterrorism in radiology: Threat or red herring?
December 12, 2019 -- In this Second Opinion article, Dr. Anton Becker, PhD, of Memorial Sloan Cancer Kettering Cancer in New York City and David Gugelmann, PhD, of Exeon Analytics assess the threat posed by artificial intelligence-powered cyberterrorism in radiology.
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December 12, 2019 -- In this Second Opinion article, Dr. Anton Becker, PhD, of Memorial Sloan Cancer Kettering Cancer in New York City and David Gugelmann, PhD, of Exeon Analytics assess the threat posed by artificial intelligence-powered cyberterrorism in radiology.
Discuss AI-based model aids fMRI in ADHD detection
December 11, 2019 -- A newly developed deep-learning artificial intelligence (AI) model is lending a helping hand to radiologists reading functional MRI (fMRI) scans, helping them better predict attention deficit hyperactivity disorder (ADHD), according to a study published online December 11 in Radiology: Artificial Intelligence.
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December 11, 2019 -- A newly developed deep-learning artificial intelligence (AI) model is lending a helping hand to radiologists reading functional MRI (fMRI) scans, helping them better predict attention deficit hyperactivity disorder (ADHD), according to a study published online December 11 in Radiology: Artificial Intelligence.
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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
ESOR Foundation Course on Artificial Intelligence in Radiology
January 30-31
Rome, Lazio Italy
January 30-31
Rome, Lazio Italy
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
Computer Assisted Radiology and Surgery (CARS) 2020
June 23-27
Munich, Bayern Germany
June 23-27
Munich, Bayern Germany
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