{"product_id":"meetings-by-mail-decoding-radiology-ai-a-sabi-primer-2025","title":"Meetings By Mail Decoding Radiology AI A SABI Primer 2025","description":"\u003cdiv class=\"product-tabs-wrapper\"\u003e\r\n\u003cdiv class=\"container\"\u003e\r\n\u003cdiv class=\"row\"\u003e\r\n\u003cdiv class=\"col-12 poduct-tabs-inner\"\u003e\r\n\u003cdiv class=\"woocommerce-tabs wc-tabs-wrapper tabs-layout-tabs\" data-state=\"first\" data-layout=\"tabs\"\u003e\r\n\u003cdiv class=\"wd-accordion-item\"\u003e\r\n\u003cdiv id=\"tab-description\" class=\"entry-content woocommerce-Tabs-panel woocommerce-Tabs-panel--description wd-active panel wc-tab\" role=\"tabpanel\" aria-labelledby=\"tab-title-description\" data-accordion-index=\"description\"\u003e\r\n\u003cdiv class=\"wc-tab-inner\"\u003e\r\n\u003ch1 class=\"product_title entry-title\"\u003eMeetings By Mail Decoding Radiology AI A SABI Primer 2025\u003c\/h1\u003e\r\n\u003cstrong\u003e+ Include: 29 videos + 1 pdf, size: 2.44 GB\u003c\/strong\u003e\r\n\r\n\u003cstrong\u003e+ Target Audience: radiologists, imaging scientists, technologists\u003c\/strong\u003e\r\n\r\n\u003cstrong\u003e+ Information:\u003c\/strong\u003e\r\n\r\n\u003cstrong\u003eRelease date: October 21, 2025\r\n\u003c\/strong\u003e\r\n\r\nA source of innovation for nearly fifty years, the \u003cstrong\u003e\u003cem\u003eSociety for Advanced Body Imaging (SABI) \u003c\/em\u003e\u003c\/strong\u003epresents this exploration into AI fundamentals, practical uses and opportunities for Radiologists at all experience levels.  \u003cstrong\u003e\u003cem\u003eDecoding Radiology AI: A SABI Primer\u003c\/em\u003e\u003c\/strong\u003e provides the requisite foundational skills and perspectives to flourish in this constantly evolving technological landscape.\r\n\r\nTopics include: Fundamentals, radiomics, large language model integration, reporting, applications for body, cardiothoracic, MSK, neuro, pediatric, breast and nuclear imaging, ethics and bias, generative AI and much more!\r\n\r\nThe \u003cem\u003eMeetings By Mail: Decoding Radiology AI – A SABI Primer 2025\u003c\/em\u003e is best for radiologists, imaging scientists, technologists, and healthcare leaders who want training on how artificial intelligence is reshaping radiology practice. It is designed as a flexible, on‑demand program that introduces AI concepts from fundamentals to clinical applications, with a focus on practical integration into imaging workflows.\r\n\u003ch3\u003e Who Should Enroll\u003c\/h3\u003e\r\n\u003cul\u003e\r\n \t\u003cli\u003eRadiologists \u0026amp; imaging specialists seeking to understand and apply AI in diagnostic imaging.\u003c\/li\u003e\r\n \t\u003cli\u003eMedical physicists \u0026amp; imaging scientists exploring algorithm development and validation.\u003c\/li\u003e\r\n \t\u003cli\u003eRadiology technologists interested in how AI tools affect workflow and image acquisition.\u003c\/li\u003e\r\n \t\u003cli\u003eHealthcare administrators \u0026amp; leaders evaluating AI adoption in radiology departments.\u003c\/li\u003e\r\n \t\u003cli\u003eResidents, fellows, and trainees in radiology who need structured exposure to AI concepts.\u003c\/li\u003e\r\n \t\u003cli\u003eIndustry professionals (AI developers, vendors) wanting to align solutions with clinical needs.\u003c\/li\u003e\r\n\u003c\/ul\u003e\r\n\u003ch3\u003e What You’ll Learn\u003c\/h3\u003e\r\n\u003cul\u003e\r\n \t\u003cli\u003eAI fundamentals in radiology: machine learning, deep learning, and neural networks explained.\u003c\/li\u003e\r\n \t\u003cli\u003eClinical applications: AI in image interpretation, workflow optimization, and decision support.\u003c\/li\u003e\r\n \t\u003cli\u003eValidation \u0026amp; regulation: FDA approval pathways, bias reduction, and ethical considerations.\u003c\/li\u003e\r\n \t\u003cli\u003eCase‑based examples: real‑world demonstrations of AI tools in radiology practice.\u003c\/li\u003e\r\n \t\u003cli\u003eFuture directions: generative AI, multimodal imaging integration, and precision medicine.\u003c\/li\u003e\r\n\u003c\/ul\u003e\r\n \r\n\r\n\u003cstrong\u003e+ Topics:\u003c\/strong\u003e\r\n\u003ctable border=\"1\" cellspacing=\"0\" cellpadding=\"0\"\u003e\r\n\u003ctbody\u003e\r\n\u003ctr\u003e\r\n\u003ctd colspan=\"2\" bgcolor=\"#CCCCCC\"\u003e\u003cstrong\u003eSession 1: AI Fundamentals\u003c\/strong\u003e\u003c\/td\u003e\r\n\u003c\/tr\u003e\r\n\u003ctr\u003e\r\n\u003ctd width=\"709\"\u003eIntroduction to AI Terms and Methods\u003c\/td\u003e\r\n\u003ctd width=\"322\"\u003eJordan Perchik, MD\u003c\/td\u003e\r\n\u003c\/tr\u003e\r\n\u003ctr\u003e\r\n\u003ctd\u003eAI and the User Interface\u003c\/td\u003e\r\n\u003ctd\u003eDr. Clare Rainey\u003c\/td\u003e\r\n\u003c\/tr\u003e\r\n\u003ctr\u003e\r\n\u003ctd\u003eQ\u0026amp;A: Artificial Intelligence You Need to Know\u003c\/td\u003e\r\n\u003ctd\u003eMultiple Faculty\u003c\/td\u003e\r\n\u003c\/tr\u003e\r\n\u003ctr\u003e\r\n\u003ctd\u003eRadiomics in Pancreatic Tumor Imaging\u003c\/td\u003e\r\n\u003ctd\u003eRichard Do, MD, PhD\u003c\/td\u003e\r\n\u003c\/tr\u003e\r\n\u003ctr\u003e\r\n\u003ctd\u003eLarge Language Models Integration Into Radiology Workflow: Potential Applications, Efficacy and Limitations\u003c\/td\u003e\r\n\u003ctd\u003eSoheil Kooraki, MD\u003c\/td\u003e\r\n\u003c\/tr\u003e\r\n\u003ctr\u003e\r\n\u003ctd\u003eImproving Radiology Report Conciseness \u0026amp; Structure Via Large Language Models\u003c\/td\u003e\r\n\u003ctd\u003eLes Folio, DO, MPH\u003c\/td\u003e\r\n\u003c\/tr\u003e\r\n\u003ctr\u003e\r\n\u003ctd\u003e\u003c\/td\u003e\r\n\u003ctd\u003e\u003c\/td\u003e\r\n\u003c\/tr\u003e\r\n\u003ctr\u003e\r\n\u003ctd colspan=\"2\" bgcolor=\"#CCCCCC\"\u003e\u003cstrong\u003eSession 2: Body Imaging Applications\u003c\/strong\u003e\u003c\/td\u003e\r\n\u003c\/tr\u003e\r\n\u003ctr\u003e\r\n\u003ctd\u003eIntelligent Scanning: Using Automated Tools to Improve and Personalize MRI Scans\u003c\/td\u003e\r\n\u003ctd\u003eAngela Tong, MD\u003c\/td\u003e\r\n\u003c\/tr\u003e\r\n\u003ctr\u003e\r\n\u003ctd\u003eAI in Pulmonary Imaging\u003c\/td\u003e\r\n\u003ctd\u003eSteven Rothenberg, MD\u003c\/td\u003e\r\n\u003c\/tr\u003e\r\n\u003ctr\u003e\r\n\u003ctd\u003eApplication of AI in Cardiac Imaging\u003c\/td\u003e\r\n\u003ctd\u003eHuma Samar, MBBS\u003c\/td\u003e\r\n\u003c\/tr\u003e\r\n\u003ctr\u003e\r\n\u003ctd\u003eDeep Learning Advances in Cardiopulmonary Imaging– Flow, Structure and Function\u003c\/td\u003e\r\n\u003ctd\u003eAlbert Hsiao, MD, PhD\u003c\/td\u003e\r\n\u003c\/tr\u003e\r\n\u003ctr\u003e\r\n\u003ctd\u003eAbdominal Organ Segmentations: The Power of Deep Learning\u003c\/td\u003e\r\n\u003ctd\u003eMartin Prince, MD, PhD\u003c\/td\u003e\r\n\u003c\/tr\u003e\r\n\u003ctr\u003e\r\n\u003ctd\u003eMy Favorite App For That\u003c\/td\u003e\r\n\u003ctd\u003eJordan Perchik, MD\u003c\/td\u003e\r\n\u003c\/tr\u003e\r\n\u003ctr\u003e\r\n\u003ctd\u003eHot Topics in AI: Updates in Pancreatic Imaging\u003c\/td\u003e\r\n\u003ctd\u003eLinda Chu, MD\u003c\/td\u003e\r\n\u003c\/tr\u003e\r\n\u003ctr\u003e\r\n\u003ctd\u003eHot Topics in AI: Enhancing Endometriosis Detection: A Deep Learning Approach Using MRI Imaging\u003c\/td\u003e\r\n\u003ctd\u003eMana Moassefi, MD\u003c\/td\u003e\r\n\u003c\/tr\u003e\r\n\u003ctr\u003e\r\n\u003ctd\u003e\u003c\/td\u003e\r\n\u003ctd\u003e\u003c\/td\u003e\r\n\u003c\/tr\u003e\r\n\u003ctr\u003e\r\n\u003ctd colspan=\"2\" bgcolor=\"#CCCCCC\"\u003e\u003cstrong\u003eSession 3:  Imaging Applications for MSK, Neuro, Breast \u0026amp; More\u003c\/strong\u003e\u003c\/td\u003e\r\n\u003c\/tr\u003e\r\n\u003ctr\u003e\r\n\u003ctd\u003eAI in MSK Imaging\u003c\/td\u003e\r\n\u003ctd\u003eJake Mandell, MD\u003c\/td\u003e\r\n\u003c\/tr\u003e\r\n\u003ctr\u003e\r\n\u003ctd\u003eAI Applications in Neuroradiology\u003c\/td\u003e\r\n\u003ctd\u003eMarwa Ismail, PhD\u003c\/td\u003e\r\n\u003c\/tr\u003e\r\n\u003ctr\u003e\r\n\u003ctd\u003eAI in Pediatric Imaging\u003c\/td\u003e\r\n\u003ctd\u003eAndrew Smith, MD, PhD\u003c\/td\u003e\r\n\u003c\/tr\u003e\r\n\u003ctr\u003e\r\n\u003ctd\u003eIntroduction to AI Applications in Breast Imaging\u003c\/td\u003e\r\n\u003ctd\u003eMark Traill, MD\u003c\/td\u003e\r\n\u003c\/tr\u003e\r\n\u003ctr\u003e\r\n\u003ctd\u003eAI in Nuclear Imaging\u003c\/td\u003e\r\n\u003ctd\u003eTyler Bradshaw, PhD\u003c\/td\u003e\r\n\u003c\/tr\u003e\r\n\u003ctr\u003e\r\n\u003ctd\u003e\u003c\/td\u003e\r\n\u003ctd\u003e\u003c\/td\u003e\r\n\u003c\/tr\u003e\r\n\u003ctr\u003e\r\n\u003ctd colspan=\"2\" bgcolor=\"#CCCCCC\"\u003e\u003cstrong\u003eSession 4: Ethics and Bias\u003c\/strong\u003e\u003c\/td\u003e\r\n\u003c\/tr\u003e\r\n\u003ctr\u003e\r\n\u003ctd\u003eIntelligent Imaging: Exploring the Sustainability of Radiology and Radiology AI\u003c\/td\u003e\r\n\u003ctd\u003eFlorence Doo, MD\u003c\/td\u003e\r\n\u003c\/tr\u003e\r\n\u003ctr\u003e\r\n\u003ctd\u003eNavigating Bias in Artificial Intelligence for Clinical Radiology: Key Considerations and Challenges\u003c\/td\u003e\r\n\u003ctd\u003eMelina Hosseiny, MD and Rita Maria Lahoud, MD\u003c\/td\u003e\r\n\u003c\/tr\u003e\r\n\u003ctr\u003e\r\n\u003ctd\u003eEthical Considerations in Imaging AI\u003c\/td\u003e\r\n\u003ctd\u003eMuhammad Umair, MD\u003c\/td\u003e\r\n\u003c\/tr\u003e\r\n\u003ctr\u003e\r\n\u003ctd\u003eBias in AI: Case Study in Comparing Performance Between US and African Hospitals\u003c\/td\u003e\r\n\u003ctd\u003eJordan Perchik, MD\u003c\/td\u003e\r\n\u003c\/tr\u003e\r\n\u003ctr\u003e\r\n\u003ctd\u003ePanel Discussion: Should We Let Computers Write Our Reports for Us?\u003c\/td\u003e\r\n\u003ctd\u003eMultiple Faculty\u003c\/td\u003e\r\n\u003c\/tr\u003e\r\n\u003ctr\u003e\r\n\u003ctd\u003e\u003c\/td\u003e\r\n\u003ctd\u003e\u003c\/td\u003e\r\n\u003c\/tr\u003e\r\n\u003ctr\u003e\r\n\u003ctd colspan=\"2\" bgcolor=\"#CCCCCC\"\u003e\u003cstrong\u003eSession 5: Looking Forward . . .\u003c\/strong\u003e\u003c\/td\u003e\r\n\u003c\/tr\u003e\r\n\u003ctr\u003e\r\n\u003ctd\u003ePreparing Radiologists for an AI Enhanced Future: Practical Tips for Trainees\u003c\/td\u003e\r\n\u003ctd\u003eMelina Hosseiny, MD\u003c\/td\u003e\r\n\u003c\/tr\u003e\r\n\u003ctr\u003e\r\n\u003ctd\u003eAI and Its Changing Role in Healthcare\u003c\/td\u003e\r\n\u003ctd\u003eOmer Awan, University of Maryland\u003c\/td\u003e\r\n\u003c\/tr\u003e\r\n\u003ctr\u003e\r\n\u003ctd\u003eUpdate on AI and Academic Publishing\u003c\/td\u003e\r\n\u003ctd\u003eEric Tamm, MD, Ali Shah Tejani, MD and Samuel Galgano, MD\u003c\/td\u003e\r\n\u003c\/tr\u003e\r\n\u003ctr\u003e\r\n\u003ctd\u003eChatGPT \u0026amp; Generative AI: A New Frontier For Healthcare\u003c\/td\u003e\r\n\u003ctd\u003eFlorence Doo, MD\u003c\/td\u003e\r\n\u003c\/tr\u003e\r\n\u003ctr\u003e\r\n\u003ctd\u003ePanel Discussion: Generative AI\u003c\/td\u003e\r\n\u003ctd\u003eMultiple Faculty\u003c\/td\u003e\r\n\u003c\/tr\u003e\r\n\u003c\/tbody\u003e\r\n\u003c\/table\u003e\r\n\u003c\/div\u003e\r\n\u003c\/div\u003e\r\n\u003c\/div\u003e\r\n\u003c\/div\u003e\r\n\u003c\/div\u003e\r\n\u003c\/div\u003e\r\n\u003c\/div\u003e\r\n\u003c\/div\u003e","brand":"meducours","offers":[{"title":"Default Title","offer_id":42954680402018,"sku":"MED-AMB08075","price":30.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0662\/9549\/6802\/files\/Meetings-By-Mail-Decoding-Radiology-AI-A-SABI-Primer-2025.jpg?v=1779382309","url":"https:\/\/meducourse.com\/products\/meetings-by-mail-decoding-radiology-ai-a-sabi-primer-2025","provider":"Meducourse","version":"1.0","type":"link"}