BEGIN:VCALENDAR VERSION:2.0 PRODID:-//HasGeek//NONSGML Funnel//EN DESCRIPTION:Implementation of AI Systems and Risk Mitigation in Radiology and Clinical Delivery X-WR-CALDESC:Implementation of AI Systems and Risk Mitigation in Radiology and Clinical Delivery NAME:Navigating AI Challenges in Radiology X-WR-CALNAME:Navigating AI Challenges in Radiology REFRESH-INTERVAL;VALUE=DURATION:PT12H SUMMARY:Navigating AI Challenges in Radiology TIMEZONE-ID:Asia/Kolkata X-PUBLISHED-TTL:PT12H X-WR-TIMEZONE:Asia/Kolkata BEGIN:VEVENT SUMMARY:Navigating AI Challenges in Radiology DTSTART:20231109T133000Z DTEND:20231109T150000Z DTSTAMP:20260420T050525Z UID:session/Gegsv7NvjHhzgatW9vhGGJ@hasgeek.com SEQUENCE:22 CREATED:20231107T022727Z DESCRIPTION:### About the talk\nBargava Subramanian\, Chief Product and Da ta Officer at 5C Network\, and Dr Praveen Shastry\, Head of Clinical Excel lence at 5C Network and Head of Technical and Clinical Academics at Manipa l HealthMap\, will be discussing the implementation of AI systems in radio logy and mitigating various risks pertaining to the same. The discussion w ill be moderated by [Dr Anand Philip](https://www.linkedin.com/in/anandphi lip/) and [Dr Hannah Thomas](https://www.linkedin.com/in/hannah-mary-thoma s-t-838a0113/)\, editors of the healthtech track for the AI and Risk Mitig ation project.\n\nComputer vision and large language models (LLMs) signifi cantly enhance the clinical delivery of radiology by augmenting diagnostic precision and efficiency. Computer vision algorithms excel at pattern rec ognition in imaging\, identifying nuances that may elude the human eye\, s uch as early signs of diseases like cancer. LLMs contribute by processing vast amounts of radiology reports to generate insights\, assist in decisio n-making\, and augment report creation\, reducing the cognitive load on ra diologists. Together\, they improve patient outcomes. In this talk\, the s peakers explain why AI is inevitable in Radiology and based on their exper ience implementing it in real-life Clinical Delivery setting\, provide a f ramework to understand and mitigate risks when building and using AI-drive n systems in healthcare. \n\n\n### Key takeaways for the audience\n1. The various areas in Radiology where AI systems can be implemented\n2. Risks a ssociated with using AI systems in radiology and in clinical delivery\n3. Building guardrails\, ecosystems and best practices to mitigate these risk s through a mix of privacy-preserving practices and human intervention\n\n *Have questions for the speakers? [Leave a comment](https://hasgeek.com/an thillinside/navigating-ai-challenges-in-radiology/comments).*\n### About t he speakers\n[Bargava Subramanian](https://www.linkedin.com/in/bargava/) i s the Chief Product and Data Officer at 5C Network. His expertise is in bu ilding AI-driven products. He has significant experience in computer visio n\, LLMs\, forecasting and recommendation systems. He is currently buildin g a suite of AI products to revolutionise the field of Diagnostics. \n\n[D r Praveen Shastry](https://www.linkedin.com/in/dr-praveen-shastry/) is the head of Clinical Excellence at 5C Network and heads Technical and Clinica l Academics at Manipal HealthMap. He specialized in Musculoskeletal Imagin g and is a Senior Consultant Radiologist. He has significant experience in integrating AI in clinical setup.\n\n### RSVP and venue\nThis session wil l be held online on the 9th of November from 7 pm - 8:30 pm. You can RSVP to participate via Zoom or watch the livestream on YouTube.\n\n### About t he AI and Risk Mitigation series\nThis session is part of the AI and Risk Mitigation series which will host meet-ups/talks on healthtech\, fintech\, agritech\, and ed-tech and public services. These will be a mix of online and hybrid sessions. Takeaways from these sessions will be used to develo p a knowledge repository in the form of practical guidelines and a self-re gulated charter for Ethical AI.\n\n### How you can contribute\n1. Post a c omment here to suggest a topic you’d like to discuss. This should involv e a brief outline of the use cases and challenges regarding AI implementat ion.\n2. Moderate/discuss a topic someone else is proposing.\n3. Spread th e word among colleagues and friends.\n4. Join The Fifth Elephant [Telegram group](https://t.me/fifthel) or [WhatsApp group](https://chat.whatsapp.co m/KJPmJsMC0MO7r1v9cRdZfu).\n\n### About Anthill Inside\nAnthill Inside is a community where topics in AI and Deep Learning such as tools and technol ogies\, methodologies and strategies for incorporating AI and Deep Learnin g into various applications and businesses\, and AI engineering are discus sed. Furthermore\, Anthill Inside places a strong emphasis on exploring an d addressing ethical concerns\, privacy\, and the issue of bias both in pr actice and within AI products.\n\n### Contact\nFollow us on Twitter at [@a nthillin](https://twitter.com/anthillin). For inquiries\, [leave a comment ](https://hasgeek.com/anthillinside/navigating-ai-challenges-in-radiology/ comments) or call Anthill Inside at +91-7676332020. LAST-MODIFIED:20240107T141503Z LOCATION:Online - https://hasgeek.com/anthillinside/navigating-ai-challeng es-in-radiology/ ORGANIZER;CN="Anthill Inside":MAILTO:no-reply@hasgeek.com URL:https://hasgeek.com/anthillinside/navigating-ai-challenges-in-radiolog y/ BEGIN:VALARM ACTION:display DESCRIPTION:Navigating AI Challenges in Radiology in 5 minutes TRIGGER:-PT5M END:VALARM END:VEVENT END:VCALENDAR