AI can detect COVID-19 quickly, accurately on x-rays
November 25, 2020 -- Within seconds, an artificial intelligence (AI) algorithm can assess chest x-rays for the presence of COVID-19, enabling rapid screening and triage of patients arriving at hospitals for reasons other than the virus, according to research published online November 24 in Radiology.
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November 25, 2020 -- Within seconds, an artificial intelligence (AI) algorithm can assess chest x-rays for the presence of COVID-19, enabling rapid screening and triage of patients arriving at hospitals for reasons other than the virus, according to research published online November 24 in Radiology.
Discuss Deep learning gives a boost to CT image reconstruction
November 23, 2020 -- Deep learning-based image reconstruction algorithms can yield higher pediatric CT image quality and lower radiation dose than other conventional reconstruction techniques such as statistical-based iterative reconstruction (SBIR), according to research published online November 17 in Radiology.
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November 23, 2020 -- Deep learning-based image reconstruction algorithms can yield higher pediatric CT image quality and lower radiation dose than other conventional reconstruction techniques such as statistical-based iterative reconstruction (SBIR), according to research published online November 17 in Radiology.
Discuss Radiomics enables prediction of invasive adenocarcinoma
November 19, 2020 -- A machine-learning algorithm based on radiomics features of pure ground-glass nodules on CT can yield a promising level of accuracy for differentiating noninvasive from invasive pulmonary adenocarcinoma prior to surgery, according to research published online November 10 in Clinical Radiology.
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November 19, 2020 -- A machine-learning algorithm based on radiomics features of pure ground-glass nodules on CT can yield a promising level of accuracy for differentiating noninvasive from invasive pulmonary adenocarcinoma prior to surgery, according to research published online November 10 in Clinical Radiology.
Discuss Machine learning boosts chest CT's performance
November 18, 2020 -- Machine learning-based CT texture analysis software improves reader accuracy for assessing patients with chronic obstructive pulmonary disease, interstitial lung diseases, or infectious diseases, according to a study published November 12 in the European Journal of Radiology.
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November 18, 2020 -- Machine learning-based CT texture analysis software improves reader accuracy for assessing patients with chronic obstructive pulmonary disease, interstitial lung diseases, or infectious diseases, according to a study published November 12 in the European Journal of Radiology.
Discuss AI can opportunistically screen for metabolic syndrome
November 17, 2020 -- Artificial intelligence (AI) algorithms can enable screening for metabolic syndrome in individuals receiving abdominal CT exams for other reasons and who don't have symptoms of this dangerous condition, according to research published online November 10 in the American Journal of Roentgenology.
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November 17, 2020 -- Artificial intelligence (AI) algorithms can enable screening for metabolic syndrome in individuals receiving abdominal CT exams for other reasons and who don't have symptoms of this dangerous condition, according to research published online November 10 in the American Journal of Roentgenology.
Discuss How to work the virtual RSNA conference
November 13, 2020 -- Do you have a plan for RSNA 2020, now that it's virtual? It's going to be much different from past editions of radiology's showcase conference. Fortunately, the PACSman -- Michael J. Cannavo -- offers some tips on navigating the virtual meeting.
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November 13, 2020 -- Do you have a plan for RSNA 2020, now that it's virtual? It's going to be much different from past editions of radiology's showcase conference. Fortunately, the PACSman -- Michael J. Cannavo -- offers some tips on navigating the virtual meeting.
Discuss New AI lab at UMass focuses on thoracic imaging
November 13, 2020 -- A new research laboratory at the University of Massachusetts (UMass) in Worcester, MA, has launched this week with the goal of developing, testing, and implementing artificial intelligence (AI) and radiomics methods for thoracic imaging applications.
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November 13, 2020 -- A new research laboratory at the University of Massachusetts (UMass) in Worcester, MA, has launched this week with the goal of developing, testing, and implementing artificial intelligence (AI) and radiomics methods for thoracic imaging applications.
Discuss AI can quantify hematoma in hemorrhagic stroke patients
November 13, 2020 -- An artificial intelligence (AI) algorithm was able to segment and quantify hematoma on noncontrast whole-head CT scans in acute hemorrhagic stroke patients at an accuracy level comparable to that of an expert, according to research published online November 9 in Scientific Reports.
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November 13, 2020 -- An artificial intelligence (AI) algorithm was able to segment and quantify hematoma on noncontrast whole-head CT scans in acute hemorrhagic stroke patients at an accuracy level comparable to that of an expert, according to research published online November 9 in Scientific Reports.
Discuss Knowledge gap is an obstacle to AI implementation
November 10, 2020 -- Radiologists and radiographers are enthusiastic about incorporating artificial intelligence (AI) into their practices, but they often lack knowledge about how to do so, according to a study published October 29 in Academic Radiology.
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November 10, 2020 -- Radiologists and radiographers are enthusiastic about incorporating artificial intelligence (AI) into their practices, but they often lack knowledge about how to do so, according to a study published October 29 in Academic Radiology.
Discuss Radiology residents benefit from education in AI
November 6, 2020 -- Fourth-year radiology residents benefitted from a pilot program that included formal instruction in artificial intelligence (AI) and machine learning as well as collaboration with data scientists on developing models, according to a special report published online November 4 in Radiology: Artificial Intelligence.
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November 6, 2020 -- Fourth-year radiology residents benefitted from a pilot program that included formal instruction in artificial intelligence (AI) and machine learning as well as collaboration with data scientists on developing models, according to a special report published online November 4 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
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Conferences
21st Annual Vail 2021: MR and CT Advanced Imaging and Artificial Intelligence
February 21-26, 2021
Vail, Colorado United States
February 21-26, 2021
Vail, Colorado United States
9th Snowmass 2021: Hot Topics in Radiology: Advanced Application and Artificial Intelligence
Feb. 28 - Mar. 5, 2021
Snowmass, Colorado United States
Feb. 28 - Mar. 5, 2021
Snowmass, Colorado United States