2025 Pediatric Surgery Update Course - Top AI Tools of 2025
With Dr. Todd Ponsky · hosted by Dr. Todd Ponsky · Live Event Content
Educational content from recorded physician discussions — not medical advice. Talk to your (or your child's) care team about your situation.
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What the experts said
OpenEvidence is a large language model trained specifically on medical text through partnerships with organizations including JAMA
Large language models are fundamentally text completers that depend on their training data
OpenEvidence provides source citations for its answers and does not hallucinate like other large language models
OpenEvidence is HIPAA compliant when registered through a hospital business administrator, allowing input of actual patient information for case solutions
OpenEvidence's attachment feature (US-only) allows uploading hospital guidelines for comparison against current evidence
OpenEvidence still sometimes hallucinates and outputs must always be checked
OpenEvidence is the first AI large language model to score 100% on USMLE
OpenEvidence offers USMLE study sessions for Steps 1, 2, and 3 with adaptive difficulty based on performance
OpenEvidence provides templates for patient notes to decrease charting time
ChatGPT's Operator feature functions as a human-AI co-pilot where AI performs tasks while humans can intervene to steer direction
ChatGPT Projects allow creation of specialized AI team members with uploaded documents and specific expertise
The best way to learn in residency is by making mistakes
A custom GPT was designed for case-based learning that presents consequences of clinical mistakes without immediately revealing the error
ChatGPT study mode changes the endpoint from providing answers to helping users learn through step-by-step explanation with adaptive difficulty
AI coding agents enable creation of custom applications through natural language prompts without traditional development
Vibe coding (natural language app creation) is expected to be democratized within a year, allowing everyone to make hyper-customized solutions
Organizations need both top-down technology purchases and bottom-up workforce empowerment for AI adoption
The effectiveness of AI coding agents raises questions about the viability of software-as-a-service as a business model
Division-by-division workflow automation could save hundreds of millions of dollars over three to four years