Practical Considerations of AI: Part 7 -- Economics
September 21, 2020 -- In part 7 of his Practical Considerations of AI series, consultant Michael J. Cannavo analyzes the impact of the recent decision by the U.S. Centers for Medicaid and Medicaid Services to provide reimbursement for Viz.ai's AI stroke detection software and explains why better AI market education is needed.  Discuss
AI can enhance evaluation of cancer response over time
September 18, 2020 -- Radiology reports created with help from artificial intelligence (AI) are more accurate and faster to produce than current reporting methods in evaluating the response of advanced cancer to treatment over time, according to research presented at the recent Conference on Machine Intelligence in Medical Imaging.  Discuss
C-MIMI: AI peer review can spot missed lung cancer
September 15, 2020 -- A peer review process that's driven by artificial intelligence (AI) can identify lung nodules that were overlooked by radiologists on CT exams, potentially enabling early detection of cancers that would have otherwise been missed, according to a Monday talk at the Conference on Machine Intelligence in Medical Imaging (C-MIMI).  Discuss
C-MIMI: Use of AI in radiology is evolving
September 14, 2020 -- The use of artificial intelligence (AI) in radiology to aid in image interpretation tasks is evolving, but many of the old factors and concepts from the computer-aided detection era still remain, according to a Sunday talk at the Conference on Machine Intelligence in Medical Imaging (C-MIMI).  Discuss
CT radiomics predicts esophageal cancer outcomes
September 11, 2020 -- Machine-learning models that assess both peritumoral and intratumoral radiomics features on pretreatment CT images can yield a promising level of performance for predicting treatment outcomes in patients with esophageal squamous cell carcinoma, according to research published online September 10 in JAMA Network Open.  Discuss
AI reduces no-shows for MRI exams
September 11, 2020 -- Artificial intelligence (AI) can help reduce the no-show rate for MRI exams, according to a study published September 10 in the American Journal of Roentgenology.  Discuss
Medical imaging AI market projected for strong growth
September 10, 2020 -- The world market for artificial intelligence (AI)-based clinical applications for use in medical imaging is set to reach almost $1.5 billion by 2024, despite a slower-than-expected uptake of these products and the impact of the COVID-19 pandemic, according to a new report from Signify Research.  Discuss
Can AI diagnose heart failure on chest x-rays?
September 8, 2020 -- An artificial intelligence (AI) algorithm can provide a promising level of accuracy for diagnosing heart failure on chest radiographs, according to a presentation from Japanese researchers at the recent European Society of Cardiology virtual congress.  Discuss
AI can spot smokers at high risk of cancer on x-rays
September 4, 2020 -- By analyzing chest radiographs and a patient's electronic medical record (EMR), a deep-learning algorithm was able to identify more high-risk smokers who could benefit from CT lung cancer screening than current Medicare eligibility criteria, according to research published September 1 in the Annals of Internal Medicine.  Discuss
Radiologists, AI make a great team in screening mammo
August 27, 2020 -- The combination of an artificial intelligence (AI)-based computer-aided detection algorithm with radiologist interpretation can detect more cases of breast cancer on screening mammograms than double reading by radiologists, according to research published online August 27 in JAMA: Oncology.  Discuss