Training for AI
AI in Brief: Radiology Reports Reimagined
July 26, 2024
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Inayat Grewal; Howard Chen
This briefing is part of our series summarizing key research and articles to keep you up to speed on the latest in medical imaging AI.
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From Bias to Breakthroughs: Key Takeaways from the 2024 ACR-SIIM Data Science SummitJuly 11, 2024 | Howard ChenThis year’s event, held on June 26, 2024, at the Gaylord National Resort in National Harbor, Maryland, brought together thought leaders, industr...
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Navigating the Integration of FDA-Cleared AI Tools in Clinical Practice: Opportunities, Challenges, and Future DirectionsJune 5, 2024 | Sanaz Vahdati; Ross Filice; Bradley EricksonThe advent of FDA-cleared artificial intelligence (AI) tools in clinical settings marks a significant milestone in bringing these technologies from re...
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Benefits and Dangers of Synthetic Data for Radiology AIDecember 12, 2022 | Bryant Chang, BS, MS, MS3; Tessa Cook, MD, PhD, CIIP, FSIIM, FCPPSynthetic data has the potential to fill research gaps, but radiologists should be aware of potential drawbacks.
Five Ways to Sharpen Your Data Science Skills as a RadiologistMay 10, 2022 | Po-Hao (Howard) Chen, MD, MBAYou don’t need to be a full-time data scientist to keep abreast of the newest technologies.
AI-LAB Federated Learning to Expand AI Opportunities to More RadiologistsNovember 16, 2021 | Kendall Schmidt, PhDRadiologists can now get involved and develop expertise by registering their sites to take part in the ACR DSI AI federated learning program on AI-LAB...
Don't Be Afraid to Talk to Medical Students About AIMarch 15, 2021 | Bibb Allen Jr., MD, FACRMedical students today want to hear radiology’s value proposition in an AI-enabled era. We must be prepared to explain why radiology is a solid ...
4 Steps Radiology Residents and Fellows Can Take Now to Prepare for AI in PracticeNovember 11, 2019 | Walter Wiggins, MD, PhDA self-guided approach to being well-prepared for integrating artificial intelligence into clinical practice and adapting to the impact on efficiency ...
What Medical Students See in AIJune 11, 2019 | Ayis Pyrros, MDYounger generations are generally willing to embrace new technology like artificial intelligence. For better or worse, AI will be shaped by them.