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. Read More
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. Read More
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. Read More
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. Read More
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Administration (FDA) has published an action plan for medical artificial intelligence (AI) algorithms that includes a draft guidance, efforts to harmonize good machine-learning practices, and development of methodologies for evaluating algorithms and monitoring their real-world performance. Read More
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. Read More
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. Read More
AI predicts metastasis in gastric cancer patients
January 7, 2021 -- An artificial intelligence (AI) algorithm can predict the presence of occult peritoneal metastasis in gastric cancer patients based on preoperative CT scans, potentially helping in treatment decision-making and avoiding unnecessary surgeries, according to research published online January 5 in JAMA Network Open. Read More
AI helps predict lung cancer screening eligibility
January 4, 2021 -- An artificial intelligence (AI) deep learning-based risk prediction model trained on chest x-rays and medical record data improves assessment of patients' eligibility for CT lung cancer screening, according to a review published December 15 in the American Journal of Roentgenology. Read More
CT radiomics predicts COVID-19 severity, outcome
December 22, 2020 -- A machine-learning algorithm based on CT radiomics can help clinicians predict the severity of COVID-19 disease and patient outcomes, according to research presented at the recent virtual RSNA 2020 meeting. Read More