AI analyzes likelihood, extent of COVID-19 on chest CT
August 6, 2020 -- A freely available artificial intelligence (AI) algorithm can yield comparable diagnostic performance to radiologists for assessing the likelihood and severity of COVID-19 on noncontrast chest CT exams in patients suspected of having the disease, according to research published online in Radiology on July 30.
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August 6, 2020 -- A freely available artificial intelligence (AI) algorithm can yield comparable diagnostic performance to radiologists for assessing the likelihood and severity of COVID-19 on noncontrast chest CT exams in patients suspected of having the disease, according to research published online in Radiology on July 30.
Discuss NIH launches COVID-19 AI, imaging data center
August 5, 2020 -- The U.S. National Institutes of Health (NIH) has launched the Medical Imaging and Data Resource Center, which will provide artificial intelligence (AI) and medical imaging data to clinicians treating patients with COVID-19.
August 5, 2020 -- The U.S. National Institutes of Health (NIH) has launched the Medical Imaging and Data Resource Center, which will provide artificial intelligence (AI) and medical imaging data to clinicians treating patients with COVID-19.
Radiologists reading mammograms show wide variation
July 31, 2020 -- Radiologists interpreting mammograms demonstrated a wide range of sensitivity for detecting cancer, according to results of a study published July 28 in Radiology. The authors believe the findings justify the use of computer-aided detection (CAD) solutions for breast screening.
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July 31, 2020 -- Radiologists interpreting mammograms demonstrated a wide range of sensitivity for detecting cancer, according to results of a study published July 28 in Radiology. The authors believe the findings justify the use of computer-aided detection (CAD) solutions for breast screening.
Discuss Federated learning yields high-quality AI model
July 31, 2020 -- Federated learning -- an approach to training deep-learning models that incorporates data from other sites without sharing the actual data -- can protect patient privacy and enable more-generalizable radiology artificial intelligence (AI) algorithms, according to research published online July 28 in Scientific Reports.
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July 31, 2020 -- Federated learning -- an approach to training deep-learning models that incorporates data from other sites without sharing the actual data -- can protect patient privacy and enable more-generalizable radiology artificial intelligence (AI) algorithms, according to research published online July 28 in Scientific Reports.
Discuss AI boosts MRI's performance for detecting liver lesions
July 29, 2020 -- An artificial intelligence (AI) algorithm improved MRI's performance when it comes to tracking changes in liver lesions after therapy has started, according to a study published July 25 in the Journal of the American College of Radiology.
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July 29, 2020 -- An artificial intelligence (AI) algorithm improved MRI's performance when it comes to tracking changes in liver lesions after therapy has started, according to a study published July 25 in the Journal of the American College of Radiology.
Discuss Using AI with x-ray improves hip fracture diagnosis
July 29, 2020 -- Using an artificial intelligence (AI) deep convolutional neural network to analyze x-ray images improves radiologist performance in identifying hip fractures, according to a study published July 23 in the European Journal of Radiology.
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July 29, 2020 -- Using an artificial intelligence (AI) deep convolutional neural network to analyze x-ray images improves radiologist performance in identifying hip fractures, according to a study published July 23 in the European Journal of Radiology.
Discuss AI, radiomics can predict stroke treatment success
July 28, 2020 -- Artificial intelligence (AI) and radiomics can help to predict if a particular treatment strategy for acute ischemic stroke will be successful and how difficult the procedure will be, potentially paving the way for personalized endovascular patient management, according to research published online July 20 in Stroke.
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July 28, 2020 -- Artificial intelligence (AI) and radiomics can help to predict if a particular treatment strategy for acute ischemic stroke will be successful and how difficult the procedure will be, potentially paving the way for personalized endovascular patient management, according to research published online July 20 in Stroke.
Discuss AI spots cervical cancer lymph node metastasis on MRI
July 24, 2020 -- An artificial intelligence (AI) algorithm was able to preoperatively identify lymph node metastasis on MRI in patients with cervical cancer, potentially enabling some patients to avoid unnecessary surgery, according to research published online July 24 in JAMA Network Open.
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July 24, 2020 -- An artificial intelligence (AI) algorithm was able to preoperatively identify lymph node metastasis on MRI in patients with cervical cancer, potentially enabling some patients to avoid unnecessary surgery, according to research published online July 24 in JAMA Network Open.
Discuss AI can assess COVID-19 severity on chest x-rays
July 24, 2020 -- An artificial intelligence (AI) algorithm can quantitatively assess the severity of COVID-19 on frontal chest x-rays, offering potential as a clinical triage and workflow optimization tool, according to research published online July 22 in Radiology: Artificial Intelligence.
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July 24, 2020 -- An artificial intelligence (AI) algorithm can quantitatively assess the severity of COVID-19 on frontal chest x-rays, offering potential as a clinical triage and workflow optimization tool, according to research published online July 22 in Radiology: Artificial Intelligence.
Discuss AI reduces missed lung cancers on chest x-ray
July 23, 2020 -- An artificial intelligence (AI) algorithm can help reduce the number of missed lung cancers on chest x-ray, according to a study published July 21 in Radiology. The study results point to AI as an effective way to address the challenging task of spotting subtle suspicious lung lesions.
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July 23, 2020 -- An artificial intelligence (AI) algorithm can help reduce the number of missed lung cancers on chest x-ray, according to a study published July 21 in Radiology. The study results point to AI as an effective way to address the challenging task of spotting subtle suspicious lung lesions.
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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
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
United States
August 27-30
United States
Ai4 Healthcare Conference
September 1-2
Las Vegas, Nevada United States
September 1-2
Las Vegas, Nevada United States
Machine Intelligence in Medical Imaging (C-MIMI)
September 13-14
Baltimore, Maryland United States
September 13-14
Baltimore, Maryland United States
Artificial Intelligence in Oncology (AIO) Symposium: Advancing Science and Policy
October 19-20
United States
October 19-20
United States