DeepPET network smooths out PET image quality
April 25, 2019 -- Researchers from Memorial Sloan Kettering Cancer Center (MSK) in New York City have developed a deep-learning network called DeepPET to generate high-quality PET images more than 100 times faster than currently possible, according to a study published in the May issue of Medical Image Analysis.
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April 25, 2019 -- Researchers from Memorial Sloan Kettering Cancer Center (MSK) in New York City have developed a deep-learning network called DeepPET to generate high-quality PET images more than 100 times faster than currently possible, according to a study published in the May issue of Medical Image Analysis.
Discuss Can radiomics detect pancreatic ductal adenocarcinoma?
April 25, 2019 -- Radiomics and a machine-learning algorithm can differentiate pancreatic ductal adenocarcinoma from a normal pancreas on CT studies, potentially enabling earlier diagnosis of this highly lethal cancer, according to research published online April 23 in the American Journal of Roentgenology.
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April 25, 2019 -- Radiomics and a machine-learning algorithm can differentiate pancreatic ductal adenocarcinoma from a normal pancreas on CT studies, potentially enabling earlier diagnosis of this highly lethal cancer, according to research published online April 23 in the American Journal of Roentgenology.
Discuss AI predicts lung cancer survival from CT scan data
April 22, 2019 -- Harvard researchers have developed an artificial intelligence (AI) algorithm capable of analyzing routine CT scans to predict how well lung cancer patients will respond to treatment, as well as their likelihood of survival, according to an article published online April 22 in Clinical Cancer Research.
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April 22, 2019 -- Harvard researchers have developed an artificial intelligence (AI) algorithm capable of analyzing routine CT scans to predict how well lung cancer patients will respond to treatment, as well as their likelihood of survival, according to an article published online April 22 in Clinical Cancer Research.
Discuss AI can identify, classify prostate cancer on mpMRI
April 18, 2019 -- An artificial intelligence (AI) algorithm called FocalNet was able to identify prostate cancer on multiparametric MRI (mpMRI) nearly as well as experienced radiologists and also predicted the lesion's aggressiveness, according to research presented at the recent IEEE International Symposium on Biomedical Imaging in Venice, Italy.
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April 18, 2019 -- An artificial intelligence (AI) algorithm called FocalNet was able to identify prostate cancer on multiparametric MRI (mpMRI) nearly as well as experienced radiologists and also predicted the lesion's aggressiveness, according to research presented at the recent IEEE International Symposium on Biomedical Imaging in Venice, Italy.
Discuss AI can spot malpositioned catheters on pediatric x-rays
April 17, 2019 -- An artificial intelligence (AI) algorithm can automatically analyze pediatric x-rays to identify patients with incorrectly positioned catheters, potentially enabling these studies to be triaged for priority review by radiologists, according to research published online April 10 in the Journal of Digital Imaging.
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April 17, 2019 -- An artificial intelligence (AI) algorithm can automatically analyze pediatric x-rays to identify patients with incorrectly positioned catheters, potentially enabling these studies to be triaged for priority review by radiologists, according to research published online April 10 in the Journal of Digital Imaging.
Discuss The 5 things radiology needs to speed up AI use
April 16, 2019 -- What's needed to accelerate advances in artificial intelligence (AI) in radiology? New image reconstruction methods, automated image labeling and annotation techniques, pretrained model architectures, explainable AI, and imaging data aggregation are all needed, according to a special report published April 16 in Radiology.
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April 16, 2019 -- What's needed to accelerate advances in artificial intelligence (AI) in radiology? New image reconstruction methods, automated image labeling and annotation techniques, pretrained model architectures, explainable AI, and imaging data aggregation are all needed, according to a special report published April 16 in Radiology.
Discuss Ultrasound CADx software can stratify thyroid nodules
April 15, 2019 -- Although it doesn't perform as well as a sonography expert, ultrasound computer-aided diagnosis (CADx) software can still be useful for stratifying thyroid nodules by their risk of malignancy, according to research published online April 11 in the American Journal of Roentgenology.
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April 15, 2019 -- Although it doesn't perform as well as a sonography expert, ultrasound computer-aided diagnosis (CADx) software can still be useful for stratifying thyroid nodules by their risk of malignancy, according to research published online April 11 in the American Journal of Roentgenology.
Discuss 5 ways artificial intelligence can augment clinicians
April 5, 2019 -- Artificial intelligence (AI) can augment the work of clinicians in five key areas: prognosis, diagnosis, treatment, workflow, and expanding the availability of clinical expertise, according to a review article published April 4 in the New England Journal of Medicine. But key challenges remain.
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April 5, 2019 -- Artificial intelligence (AI) can augment the work of clinicians in five key areas: prognosis, diagnosis, treatment, workflow, and expanding the availability of clinical expertise, according to a review article published April 4 in the New England Journal of Medicine. But key challenges remain.
Discuss AI malware deceives radiologists with fake tumors on CT
April 5, 2019 -- Researchers from Israel have developed malware based on an artificial intelligence (AI) algorithm capable of realistically altering the appearance of lung tumors on 3D CT scans, according to an April 3 article from the Washington Post.
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April 5, 2019 -- Researchers from Israel have developed malware based on an artificial intelligence (AI) algorithm capable of realistically altering the appearance of lung tumors on 3D CT scans, according to an April 3 article from the Washington Post.
Discuss SBI: AI improves DBT's performance in dense tissue
April 4, 2019 -- Using artificial intelligence (AI) software with digital breast tomosynthesis (DBT) shortens reading time and improves breast cancer detection, sensitivity, and specificity in both dense and nondense breasts, according to research presented April 4 at the Society of Breast Imaging (SBI) annual meeting in Hollywood, FL.
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April 4, 2019 -- Using artificial intelligence (AI) software with digital breast tomosynthesis (DBT) shortens reading time and improves breast cancer detection, sensitivity, and specificity in both dense and nondense breasts, according to research presented April 4 at the Society of Breast Imaging (SBI) annual meeting in Hollywood, FL.
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Special Feature
Industry News
Conferences
AIMed Radiology 2019
June 18-19
Chicago, Illinois United States
June 18-19
Chicago, Illinois United States
Computer Assisted Radiology and Surgery (CARS) 2019
June 18-21
Rennes, Bretagne France
June 18-21
Rennes, Bretagne France
Conference on Artificial Intelligence in Medicine
June 26-29
Poznan Poland
June 26-29
Poznan Poland
Machine Learning for Health Care (MLHC)
August 8-10
Ann Arbor, Michigan United States
August 8-10
Ann Arbor, Michigan United States
Organ Imaging Review
September 20-22
Toronto, Ontario Canada
September 20-22
Toronto, Ontario Canada