AI enhances performance of CT lung cancer screening
January 22, 2021 -- Combining artificial intelligence (AI) with Lung-RADS can sharply increase specificity in low-dose CT lung cancer screening programs without hurting sensitivity, according to a January 19 study in the Journal of the American College of Radiology.
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January 22, 2021 -- Combining artificial intelligence (AI) with Lung-RADS can sharply increase specificity in low-dose CT lung cancer screening programs without hurting sensitivity, according to a January 19 study in the Journal of the American College of Radiology.
Discuss FDA proposal to relax 510(k) rules on AI raises eyebrows
January 19, 2021 -- A proposal by the U.S. Food and Drug Administration (FDA) to eliminate 510(k) review for a number of artificial intelligence (AI) software applications is raising eyebrows in the radiology industry. The question is whether the proposal will be implemented after the Trump administration ends this week.
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January 19, 2021 -- A proposal by the U.S. Food and Drug Administration (FDA) to eliminate 510(k) review for a number of artificial intelligence (AI) software applications is raising eyebrows in the radiology industry. The question is whether the proposal will be implemented after the Trump administration ends this week.
Discuss AI, radiomics predicts prostate cancer recurrence
January 19, 2021 -- A diagnostic model that incorporates artificial intelligence (AI) analysis of radiomics features on multiparametric MRI can predict the likelihood of prostate cancer recurrence prior to surgical treatment, enabling preoperative risk stratification of patients, according to research published in the January issue of EBioMedicine.
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January 19, 2021 -- A diagnostic model that incorporates artificial intelligence (AI) analysis of radiomics features on multiparametric MRI can predict the likelihood of prostate cancer recurrence prior to surgical treatment, enabling preoperative risk stratification of patients, according to research published in the January issue of EBioMedicine.
Discuss How high a price for incidental lung nodules on CT?
January 19, 2021 -- A new study published January 19 in JAMA Internal Medicine links overtreatment of incidental lung nodules found on CT with more radiation, adverse events, and higher health system costs. However, researchers couldn't determine whether or not it also resulted in earlier cancer diagnosis.
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January 19, 2021 -- A new study published January 19 in JAMA Internal Medicine links overtreatment of incidental lung nodules found on CT with more radiation, adverse events, and higher health system costs. However, researchers couldn't determine whether or not it also resulted in earlier cancer diagnosis.
Discuss Radiomics, AI can guide NSCLC treatment decisions
January 15, 2021 -- Radiomics and artificial intelligence (AI) can be used to guide treatment of non-small cell lung cancer (NSCLC) without the need for a biopsy, according to research presented January 13 at the American Association for Cancer Research Virtual Special Conference on Artificial Intelligence, Diagnosis, and Imaging.
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January 15, 2021 -- Radiomics and artificial intelligence (AI) can be used to guide treatment of non-small cell lung cancer (NSCLC) without the need for a biopsy, according to research presented January 13 at the American Association for Cancer Research Virtual Special Conference on Artificial Intelligence, Diagnosis, and Imaging.
Discuss CT radiomics classifies small nodules found in CT lung screening
January 15, 2021 -- A machine-learning algorithm can be highly accurate for classifying very small lung nodules found in low-dose CT lung screening programs, according to a poster presentation at this week's American Association for Cancer Research Virtual Special Conference on Artificial Intelligence, Diagnosis, and Imaging.
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January 15, 2021 -- A machine-learning algorithm can be highly accurate for classifying very small lung nodules found in low-dose CT lung screening programs, according to a poster presentation at this week's American Association for Cancer Research Virtual Special Conference on Artificial Intelligence, Diagnosis, and Imaging.
Discuss Could AI lower malpractice risk for physicians?
January 12, 2021 -- Although some legal scholars believe that liability concerns could hinder adoption of artificial intelligence (AI) software in personalized medicine, a new study published in the Journal of Nuclear Medicine found that physicians who follow the technology's advice may actually be shielded from malpractice liability.
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January 12, 2021 -- Although some legal scholars believe that liability concerns could hinder adoption of artificial intelligence (AI) software in personalized medicine, a new study published in the Journal of Nuclear Medicine found that physicians who follow the technology's advice may actually be shielded from malpractice liability.
Discuss FDA publishes action plan for medical AI software
January 12, 2021 -- The U.S. Food and Drug Administration (FDA) has published an action plan for medical artificial intelligence (AI) algorithms that includes a draft guidance, efforts to harmonize good machine-learning practices, and development of methodologies for evaluating algorithms and monitoring their real-world performance.
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January 12, 2021 -- The U.S. Food and Drug Administration (FDA) has published an action plan for medical artificial intelligence (AI) algorithms that includes a draft guidance, efforts to harmonize good machine-learning practices, and development of methodologies for evaluating algorithms and monitoring their real-world performance.
Discuss AI bolsters specificity of screening breast ultrasound
January 12, 2021 -- A diagnostic model that incorporates artificial intelligence (AI)-based quantitative analysis can significantly decrease false-positive rates for masses detected on screening breast ultrasound exams, potentially helping to reduce unnecessary biopsies, according to a study published online January 11 in Scientific Reports.
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January 12, 2021 -- A diagnostic model that incorporates artificial intelligence (AI)-based quantitative analysis can significantly decrease false-positive rates for masses detected on screening breast ultrasound exams, potentially helping to reduce unnecessary biopsies, according to a study published online January 11 in Scientific Reports.
Discuss Can AI spot breast cancer years before radiologists?
January 11, 2021 -- A deep-learning algorithm successfully detected breast cancer on screening mammography, in some cases as early as two years before it was diagnosed during conventional interpretation, according to research published online January 11 in Nature Medicine. The algorithm also performed well with digital breast tomosynthesis (DBT) exams.
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January 11, 2021 -- A deep-learning algorithm successfully detected breast cancer on screening mammography, in some cases as early as two years before it was diagnosed during conventional interpretation, according to research published online January 11 in Nature Medicine. The algorithm also performed well with digital breast tomosynthesis (DBT) exams.
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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
AI in CT Image Creation
February 5
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February 5
Online
21st Annual Vail 2021: MR and CT Advanced Imaging and Artificial Intelligence
February 21-26
Vail, Colorado United States
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9th Snowmass 2021: Hot Topics in Radiology: Advanced Application and Artificial Intelligence
February 28 - March 5
Snowmass, Colorado United States
February 28 - March 5
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AI in Healthcare Virtual Summit
March 25-26
Online
March 25-26
Online
Ai4 2021 Healthcare Summit
May 5-6
Online
May 5-6
Online