Could imaging AI research be endangering patients?
March 25, 2020 -- Many research studies claim that artificial intelligence (AI) algorithms are better or equal to human experts for interpreting medical images. But many of these studies are of poor quality and exaggerate claims -- fueling hype around AI and potentially endangering patients, according to research published March 25 in the BMJ.
Discuss
March 25, 2020 -- Many research studies claim that artificial intelligence (AI) algorithms are better or equal to human experts for interpreting medical images. But many of these studies are of poor quality and exaggerate claims -- fueling hype around AI and potentially endangering patients, according to research published March 25 in the BMJ.
Discuss New framework could support ethical data sharing for AI
March 24, 2020 -- Who should profit from a patient's clinical data? No one, as it should only be utilized for the greater good, according to a proposed framework for ethical use and sharing of clinical imaging data for artificial intelligence (AI) published online March 24 in Radiology.
Discuss
March 24, 2020 -- Who should profit from a patient's clinical data? No one, as it should only be utilized for the greater good, according to a proposed framework for ethical use and sharing of clinical imaging data for artificial intelligence (AI) published online March 24 in Radiology.
Discuss AI differentiates COVID-19 from other pneumonia
March 20, 2020 -- Researchers from China have developed an artificial intelligence (AI) algorithm that accurately detects COVID-19 and differentiates it from community-acquired pneumonia and other lung diseases. They shared their results in an article published online March 19 in Radiology.
Discuss
March 20, 2020 -- Researchers from China have developed an artificial intelligence (AI) algorithm that accurately detects COVID-19 and differentiates it from community-acquired pneumonia and other lung diseases. They shared their results in an article published online March 19 in Radiology.
Discuss Operational applications drive AI adoption in radiology
March 17, 2020 -- When talking about artificial intelligence (AI) in radiology, one immediately thinks of the classic clinical use case of computer vision and powerful algorithms identifying abnormalities on imaging studies. Operational applications of AI, however, will likely be the first to be widely adopted.
Discuss
March 17, 2020 -- When talking about artificial intelligence (AI) in radiology, one immediately thinks of the classic clinical use case of computer vision and powerful algorithms identifying abnormalities on imaging studies. Operational applications of AI, however, will likely be the first to be widely adopted.
Discuss AI comparable to rads for interpreting wrist x-rays
March 17, 2020 -- An artificial intelligence (AI) deep-learning algorithm performs comparably to radiologists when it comes to interpreting wrist x-rays, according to a study published online March 9 in the European Journal of Radiology.
Discuss
March 17, 2020 -- An artificial intelligence (AI) deep-learning algorithm performs comparably to radiologists when it comes to interpreting wrist x-rays, according to a study published online March 9 in the European Journal of Radiology.
Discuss AI shows high accuracy for detecting COVID-19 on CT
March 16, 2020 -- A newly developed artificial intelligence (AI)-based system is highly accurate for detecting the novel coronavirus disease (COVID-19) on thoracic CT studies, according to research published online March 13 on arXiv.org. It can also quantify and track disease burden.
Discuss
March 16, 2020 -- A newly developed artificial intelligence (AI)-based system is highly accurate for detecting the novel coronavirus disease (COVID-19) on thoracic CT studies, according to research published online March 13 on arXiv.org. It can also quantify and track disease burden.
Discuss Can YouTube videos enhance radiology AI performance?
March 13, 2020 -- Pretraining deep-learning models with YouTube video clips can significantly increase the performance of these algorithms in certain radiology applications and help to overcome the challenge of assembling adequate training datasets, according to research published online March 3 in Scientific Reports.
Discuss
March 13, 2020 -- Pretraining deep-learning models with YouTube video clips can significantly increase the performance of these algorithms in certain radiology applications and help to overcome the challenge of assembling adequate training datasets, according to research published online March 3 in Scientific Reports.
Discuss AI predicts final infarct lesion for stroke on MRI
March 12, 2020 -- An artificial intelligence (AI) algorithm can predict -- based on baseline MRI and prior to intervention -- the final infarct lesions in patients with acute ischemic stroke, according to research published online March 12 in JAMA Network Open. It can even outperform current clinical prediction methods.
Discuss
March 12, 2020 -- An artificial intelligence (AI) algorithm can predict -- based on baseline MRI and prior to intervention -- the final infarct lesions in patients with acute ischemic stroke, according to research published online March 12 in JAMA Network Open. It can even outperform current clinical prediction methods.
Discuss AI can help diagnose bipolar disorder on MRI exams
March 11, 2020 -- Artificial intelligence (AI)-based analysis of neuroimaging and neurocognitive measures shows promise as a tool for diagnosing bipolar disorder, according to a small proof-of-concept study published online February 26 in the Asian Journal of Psychiatry.
Discuss
March 11, 2020 -- Artificial intelligence (AI)-based analysis of neuroimaging and neurocognitive measures shows promise as a tool for diagnosing bipolar disorder, according to a small proof-of-concept study published online February 26 in the Asian Journal of Psychiatry.
Discuss AI can accurately quantify emphysema on CT
March 9, 2020 -- An artificial intelligence (AI) algorithm can provide fully automated quantification of emphysema, offering potential as a tool for image-based diagnosis and quantification of emphysema severity, according to research published online March 4 in the American Journal of Roentgenology.
Discuss
March 9, 2020 -- An artificial intelligence (AI) algorithm can provide fully automated quantification of emphysema, offering potential as a tool for image-based diagnosis and quantification of emphysema severity, according to research published online March 4 in the American Journal of Roentgenology.
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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
Artificial Intelligence and Machine Learning in Cardiovascular CT Meeting
April 24-26
New York, New York United States
April 24-26
New York, New York United States
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