AI boosts assessment of cancer treatment response
June 3, 2020 -- Artificial intelligence (AI) software can significantly enhance assessment of cancer treatment response on serial CT exams by reducing errors, speeding up interpretations, and decreasing interobserver variability, according to research presented May 29 at the online American Society of Clinical Oncology meeting.
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June 3, 2020 -- Artificial intelligence (AI) software can significantly enhance assessment of cancer treatment response on serial CT exams by reducing errors, speeding up interpretations, and decreasing interobserver variability, according to research presented May 29 at the online American Society of Clinical Oncology meeting.
Discuss AI can handle quality assessment of 3D cardiac MRI
June 2, 2020 -- An artificial intelligence (AI) algorithm can automatically assess image quality on 3D whole-heart cardiac MR images, achieving results similar to a human expert, according to research published online May 27 in Radiology: Artificial Intelligence.
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June 2, 2020 -- An artificial intelligence (AI) algorithm can automatically assess image quality on 3D whole-heart cardiac MR images, achieving results similar to a human expert, according to research published online May 27 in Radiology: Artificial Intelligence.
Discuss AI can aid radiologists in detecting pancreatic cancer
June 1, 2020 -- An artificial intelligence (AI) algorithm helped radiologists from Taiwan improve their performance in detecting pancreatic cancer on CT exams, demonstrating strong performance across a range of ethnicities, according to research published online May 26 in Lancet Digital Health.
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June 1, 2020 -- An artificial intelligence (AI) algorithm helped radiologists from Taiwan improve their performance in detecting pancreatic cancer on CT exams, demonstrating strong performance across a range of ethnicities, according to research published online May 26 in Lancet Digital Health.
Discuss fMRI-based machine learning helps predict coma outcomes
May 26, 2020 -- A machine-learning algorithm can predict from resting-state functional MRI (fMRI) data if a patient in a coma after cardiac arrest will regain consciousness, according to a study published online May 21 in the American Journal of Neuroradiology.
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May 26, 2020 -- A machine-learning algorithm can predict from resting-state functional MRI (fMRI) data if a patient in a coma after cardiac arrest will regain consciousness, according to a study published online May 21 in the American Journal of Neuroradiology.
Discuss Can machine-learning models predict IR outcomes?
May 22, 2020 -- Machine-learning algorithms can utilize nonimaging data such as patient demographics and prior medical history to predict outcomes from interventional radiology (IR) procedures, according to research published online May 4 in the Journal of Vascular and Interventional Radiology.
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May 22, 2020 -- Machine-learning algorithms can utilize nonimaging data such as patient demographics and prior medical history to predict outcomes from interventional radiology (IR) procedures, according to research published online May 4 in the Journal of Vascular and Interventional Radiology.
Discuss AI boosts CT's COVID-19 diagnostic performance
May 20, 2020 -- Artificial intelligence (AI) boosts the performance of chest CT when combined with clinical history and laboratory data in diagnosing COVID-19 pneumonia, according to a study published May 19 in Nature Medicine.
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May 20, 2020 -- Artificial intelligence (AI) boosts the performance of chest CT when combined with clinical history and laboratory data in diagnosing COVID-19 pneumonia, according to a study published May 19 in Nature Medicine.
Discuss AI can detect, quantify traumatic brain injury on CT
May 20, 2020 -- An artificial intelligence (AI) algorithm was able to help accurately detect traumatic brain injury (TBI) on head CT exams, as well as assess the type of injury, quantify lesion burden, and measure lesion progression, U.K. researchers reported in an article published online May 14 in Lancet Digital Health.
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May 20, 2020 -- An artificial intelligence (AI) algorithm was able to help accurately detect traumatic brain injury (TBI) on head CT exams, as well as assess the type of injury, quantify lesion burden, and measure lesion progression, U.K. researchers reported in an article published online May 14 in Lancet Digital Health.
Discuss AI can differentiate normal, abnormal chest x-rays
May 19, 2020 -- Artificial intelligence (AI) algorithms can differentiate normal and abnormal chest radiographs with an accuracy on par with experienced radiologists, enabling triage of these studies for priority review, according to research published online May 14 in npj Digital Medicine.
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May 19, 2020 -- Artificial intelligence (AI) algorithms can differentiate normal and abnormal chest radiographs with an accuracy on par with experienced radiologists, enabling triage of these studies for priority review, according to research published online May 14 in npj Digital Medicine.
Discuss AI-based image reconstruction poses challenges
May 15, 2020 -- The use of deep learning to enhance image reconstruction has been considered to be a key application for artificial intelligence (AI) in radiology. A multinational team of researchers is warning, however, that the technology is prone to instability issues that could potentially even lead to a wrong diagnosis.
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May 15, 2020 -- The use of deep learning to enhance image reconstruction has been considered to be a key application for artificial intelligence (AI) in radiology. A multinational team of researchers is warning, however, that the technology is prone to instability issues that could potentially even lead to a wrong diagnosis.
Discuss Initially hiding CAD findings could improve mammography
May 15, 2020 -- The performance of computer-aided detection (CAD) software for breast cancer screening could be improved by initially hiding CAD findings from radiologists as they review images, according to the findings of a small study published on May 7 in the Journal of Experimental Psychology: Applied.
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May 15, 2020 -- The performance of computer-aided detection (CAD) software for breast cancer screening could be improved by initially hiding CAD findings from radiologists as they review images, according to the findings of a small study published on May 7 in the Journal of Experimental Psychology: Applied.
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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
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Conferences
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
Conference on Artificial Intelligence in Medicine (AIME)
August 26-29
Minneapolis, Minnesota United States
August 26-29
Minneapolis, Minnesota United States
Eastern Neuroradiological Society (ENRS) 2020 Annual Meeting
August 27-30
Burlington, Vermont United States
August 27-30
Burlington, Vermont United States
Ai4 Healthcare Conference
September 1-2
Las Vegas, Nevada United States
September 1-2
Las Vegas, Nevada United States