Overview:
AI for Radiology: See More, Miss Less is a rapid fire, application focused program that empowers imaging professionals to integrate ChatGPT into their daily workflow.
We open with
- Module 1: The Radiology Workflow Challenge, quantifying documentation delays, reporting errors, and how AI bridges the gap
- Module 2: Introduction to ChatGPT & Generative AI demystifies transformer models, showcases current radiology use cases, and sets realistic expectations
- Module 3: ChatGPT for Radiology Reporting-Use Cases, you'll see live demos drafting X ray, CT, MRI, and ultrasound reports; converting narrative text to structured formats; and generating concise impression summaries
- Module 4: Hands On Prompting & Review lets you craft prompts for varied study types, leverage a template library, and practice critical review to avoid bias, hallucinations, or omissions
- Module 5: Integration, Privacy & Best Practices covers PACS/RIS plug ins, browser based assistants, HIPAA safeguards, and time saving workflow hacks
- Finally, Module 6: Future Directions & Getting Started outlines the evolving AI landscape and provides a quick start guide so you can pilot ChatGPT in your department tomorrow. Blending conceptual clarity with real world tactics, the course equips you to elevate report quality, accuracy, and throughput
Why you should Attend:
Are unread studies piling up while you struggle to craft detailed reports? Worried a missed impression could snowball into a malpractice claim? You're not alone-radiologists are now interpreting 35?% more images per shift than a decade ago, fuelling burnout and diagnostic error.
This 90 minute, high impact session shows how ChatGPT can cut report writing time by half, auto generate structured impressions, and suggest evidence based recommendations-all while maintaining HIPAA compliance.
Live demos walk through real CT, MRI, and ultrasound cases, revealing how AI drafts polished findings in seconds and flags potential misses. You'll leave with ready to use prompt templates, PACS/RIS integration tips, and an action checklist you can deploy on your very next list. If you're searching for a practical edge to keep pace without compromising accuracy, this webinar delivers the blueprint.
Areas Covered in the Session:
- Reporting bottlenecks and error risks in radiology
- ChatGPT fundamentals and radiology specific capabilities
- Drafting and refining X ray, CT, MRI, and ultrasound reports
- Structured vs. narrative reporting assistance
- Impression summaries, recommendations, and guideline look ups
- Hands on prompt engineering and template library
- Reviewing AI output for accuracy and bias
- PACS/RIS integration pathways and workflow hacks
- HIPAA, privacy, and clinical judgment safeguards
- Future trends and implementation roadmap
Who Will Benefit:
- Radiologists (Attending, Fellows, Residents)
- Radiology Technologists
- Imaging Support Staff
- Medical Students
- Trainees
- Radiology Administrators
- Quality & Safety Leads
- PACS/RIS Teams