Get In Touch
Medical AI Gone Wrong is maintained by practicing physicians who care about patient safety and accountability in healthcare AI.
📧 General Inquiries
contact@medicalaigonewrong.com
For general questions, media inquiries, or collaboration proposals
🚨 Submit a Case
Document medical AI failures you've witnessed or experienced
🤝 Partnerships
partnerships@medicalaigonewrong.com
Academic collaborations, research partnerships, policy organizations
About the Founder
John C. Ferguson, MD, FACS
Quintuple Board-Certified Surgeon | AI Builder | Healthcare AI Governance Expert
Dr. Ferguson brings a unique combination of surgical expertise, AI development experience, and governance authority to the question of medical AI safety:
- Clinical Experience: 25+ years practicing cosmetic and facial plastic surgery
- Medical Leadership: President-Elect, American Board of Facial Cosmetic Surgery
- Medical Education: Co Editor-in-Chief, StatPearls Publishing
- AI Development: CEO & Founder, EdAI Systems (content-controlled medical AI)
- Governance: AI2030 Global Fellow for Healthcare AI Governance
- Board Certifications: Five specialty boards including Otolaryngology, Facial Plastics, and Cosmetic Surgery
"I pay malpractice insurance. I've paid it for 25 years. I pay it because when I make a mistake, someone gets hurt, and I'm accountable for that harm. AI companies don't pay malpractice insurance. That asymmetry matters."
Why This Work Matters
Medical AI Gone Wrong emerged from direct experience testing the "best" medical AI systems and watching them fail catastrophically on specialty board questions—the exact domain where EdAI Systems succeeds.
The site documents failures not to attack AI, but to build accountability through evidence. Every case is verified, analyzed through six frameworks grounded in biological and clinical reality, and presented with constructive alternatives.
This work complements:
- EdAI Systems: Proving content-controlled intelligence works (zero hallucinations, 100% customer retention)
- AI2030 Fellowship: Contributing to global healthcare AI governance frameworks
- StatPearls Leadership: Ensuring medical education content maintains highest standards
- Board Leadership: Setting standards for specialty certification and professional competence
Collaborations Welcome
We're Interested In:
- Academic research partnerships on medical AI safety
- Policy development with regulatory organizations
- Joint documentation efforts with patient safety groups
- Media collaborations for investigative journalism
- Speaking engagements at conferences and institutions
- Expert witness opportunities in medical AI litigation
- Curriculum development for medical AI education
Organizations We Work With:
- AI2030 Global Initiative: Healthcare AI governance and policy
- American Board of Facial Cosmetic Surgery: Professional certification standards
- American Board of Cosmetic Surgery: Specialty board leadership
- StatPearls Publishing: Medical education content
- EdAI Systems: Content-controlled medical AI development