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.  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.  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.  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.  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.  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.  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.  Discuss
CT textures predict interstitial lung disease survival
July 23, 2020 -- Quantitative analysis of texture patterns on CT exams in interstitial lung disease patients can yield better survival predictions than a radiologist's classification of usual interstitial pneumonia (UIP) versus non-UIP, according to research presented at last week's virtual ECR.  Discuss
ECR 2020: Radiologists, data scientists needed for AI
July 17, 2020 -- Greater involvement by radiologists and more help from data scientists are needed to improve the performance of artificial intelligence (AI) algorithms and expand their use in clinical practice, a leading Spanish expert told ECR Online registrants on Thursday.  Discuss
SNMMI 2020: AI can aid in diagnosis of Parkinson's disease
July 14, 2020 -- An artificial intelligence (AI) algorithm was highly accurate for diagnosing Parkinson's disease on dopamine transporter SPECT exams, according to research presented at the annual meeting of the Society of Nuclear Medicine and Molecular Imaging (SNMMI).  Discuss