AI can optimize risk stratification of thyroid nodules
May 24, 2019 -- An artificial intelligence (AI) algorithm improved the specificity of the American College of Radiology Thyroid Imaging Reporting and Data System, while also making the thyroid nodule risk-classification system easier for radiologists to use, according to research published online May 21 in Radiology.
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May 24, 2019 -- An artificial intelligence (AI) algorithm improved the specificity of the American College of Radiology Thyroid Imaging Reporting and Data System, while also making the thyroid nodule risk-classification system easier for radiologists to use, according to research published online May 21 in Radiology.
Discuss CAD software helps avoid contrast use in MS patients
May 23, 2019 -- Using computer-aided detection (CAD) software, 3D laboratory radiologic technologists can determine if patients with multiple sclerosis (MS) need a contrast agent for their brain MRI exam while they're still in the scanner, according to research posted online May 16 in the Journal of the American College of Radiology.
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May 23, 2019 -- Using computer-aided detection (CAD) software, 3D laboratory radiologic technologists can determine if patients with multiple sclerosis (MS) need a contrast agent for their brain MRI exam while they're still in the scanner, according to research posted online May 16 in the Journal of the American College of Radiology.
Discuss Google AI accurately assesses CT lung screening scans
May 22, 2019 -- An artificial intelligence (AI) model developed by Google can assess cancer risk on CT lung cancer screening studies as well as, or even better than, experienced radiologists -- potentially enabling automated evaluation of these exams, according to research published online March 20 in Nature Medicine.
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May 22, 2019 -- An artificial intelligence (AI) model developed by Google can assess cancer risk on CT lung cancer screening studies as well as, or even better than, experienced radiologists -- potentially enabling automated evaluation of these exams, according to research published online March 20 in Nature Medicine.
Discuss ISMRM: AI can generate synthetic contrast-enhanced MRI
May 17, 2019 -- MONTREAL - An artificial intelligence (AI) algorithm can produce high-quality synthetic contrast-enhanced brain MR images, potentially helping to avoid usage of gadolinium-based contrast agents, according to a presentation Thursday at the International Society for Magnetic Resonance in Medicine (ISMRM) annual meeting.
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May 17, 2019 -- MONTREAL - An artificial intelligence (AI) algorithm can produce high-quality synthetic contrast-enhanced brain MR images, potentially helping to avoid usage of gadolinium-based contrast agents, according to a presentation Thursday at the International Society for Magnetic Resonance in Medicine (ISMRM) annual meeting.
Discuss ISMRM: AI paves the way for precision medicine
May 16, 2019 -- MONTREAL - Artificial intelligence (AI) in medical imaging could open the door for huge advances in healthcare by assisting in diagnosis, the understanding of disease development, and the prediction of patient outcomes, according to a talk at the International Society for Magnetic Resonance in Medicine (ISMRM) annual meeting.
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May 16, 2019 -- MONTREAL - Artificial intelligence (AI) in medical imaging could open the door for huge advances in healthcare by assisting in diagnosis, the understanding of disease development, and the prediction of patient outcomes, according to a talk at the International Society for Magnetic Resonance in Medicine (ISMRM) annual meeting.
Discuss ISMRM: Deep learning moves toward clinical practice
May 15, 2019 -- MONTREAL - The number of deep-learning algorithms available for radiology applications is rapidly increasing, and it's time to figure out how to make these tools clinically relevant, according to a presentation Tuesday at the International Society for Magnetic Resonance in Medicine (ISMRM) annual meeting.
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May 15, 2019 -- MONTREAL - The number of deep-learning algorithms available for radiology applications is rapidly increasing, and it's time to figure out how to make these tools clinically relevant, according to a presentation Tuesday at the International Society for Magnetic Resonance in Medicine (ISMRM) annual meeting.
Discuss Video from ISMRM 2019: Dr. Bradley Erickson on machine learning and clinical MRI
May 15, 2019 -- MONTREAL - Machine learning in MRI was the focus of Tuesday's plenary session at the International Society for Magnetic Resonance in Medicine (ISMRM). Dr. Bradley Erickson, PhD, of Mayo Clinic focused on clinical applications of machine learning, and he shares his thoughts in this video from the meeting.
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May 15, 2019 -- MONTREAL - Machine learning in MRI was the focus of Tuesday's plenary session at the International Society for Magnetic Resonance in Medicine (ISMRM). Dr. Bradley Erickson, PhD, of Mayo Clinic focused on clinical applications of machine learning, and he shares his thoughts in this video from the meeting.
Discuss Video from ISMRM 2019: Tal Arbel on machine learning and image analysis
May 15, 2019 -- MONTREAL - Machine learning in MRI was the focus of Tuesday's plenary session at the International Society for Magnetic Resonance in Medicine (ISMRM). In this video, Tal Arbel, PhD, of McGill University explains how machine learning is already improving scientific research into multiple sclerosis.
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May 15, 2019 -- MONTREAL - Machine learning in MRI was the focus of Tuesday's plenary session at the International Society for Magnetic Resonance in Medicine (ISMRM). In this video, Tal Arbel, PhD, of McGill University explains how machine learning is already improving scientific research into multiple sclerosis.
Discuss Video from ISMRM 2019: Jong Chul Ye on machine learning and data reconstruction
May 15, 2019 -- MONTREAL - While most of the focus on machine learning in radiology has been image interpretation, Jong Chul Ye, PhD, of the Korea Advanced Institute of Science and Technology (KAIST) in South Korea believes that data reconstruction is also a fertile area for deep learning. He explains in this video from the International Society for Magnetic Resonance in Medicine (ISMRM) conference.
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May 15, 2019 -- MONTREAL - While most of the focus on machine learning in radiology has been image interpretation, Jong Chul Ye, PhD, of the Korea Advanced Institute of Science and Technology (KAIST) in South Korea believes that data reconstruction is also a fertile area for deep learning. He explains in this video from the International Society for Magnetic Resonance in Medicine (ISMRM) conference.
Discuss Video from ISMRM 2019: Dr. Hedvig Hricak on disruptors in MRI interpretation
May 14, 2019 -- MONTREAL - Monday morning's talks on disruptors in MRI came to a close with a talk on disruption in the interpretation of MRI data by Dr. Hedvig Hricak, PhD, of Memorial Sloan Kettering Cancer Center. She sees artificial intelligence as having a major potential impact on MRI interpretation, but there are challenges to overcome along the way.
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May 14, 2019 -- MONTREAL - Monday morning's talks on disruptors in MRI came to a close with a talk on disruption in the interpretation of MRI data by Dr. Hedvig Hricak, PhD, of Memorial Sloan Kettering Cancer Center. She sees artificial intelligence as having a major potential impact on MRI interpretation, but there are challenges to overcome along the way.
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Conferences
AIMed Radiology 2019
June 18-19
Chicago, Illinois United States
June 18-19
Chicago, Illinois United States
Computer Assisted Radiology and Surgery (CARS) 2019
June 18-21
Rennes, Bretagne France
June 18-21
Rennes, Bretagne France
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