ObGyn Intelligence — Evidence Matters

Clinical Tools & Resources

Evidence-based interactive tools for clinicians, nurses, and patients — built on peer-reviewed guidelines.

101 Evidence-Based Clinical Tools — Free & Accessible
9 Categories
50+ Years Clinical Experience
175+ Peer-Reviewed Publications
10,000+ Deliveries
How These Tools Are Built

Every tool on this platform is created through Structured Collaboration™ (SC Coding©) — a methodology developed by Amos Grünebaum, MD after more than two years of iterative clinical AI work: testing what broke, refining what held, and discarding what produced plausible-sounding errors that no amount of prompting could reliably prevent. What emerged is neither the hype nor the backlash. It is a working method.

SC sits between two approaches that each sacrifice something essential in clinical work. Fully autonomous AI removes the physician. Vibe coding makes the physician a rubber stamp. Neither is acceptable when the output reaches a patient. Structured Collaboration holds that any AI-assisted clinical output requires defined structure on the human side and sustained professional oversight on the output side. The physician defines the role, scenario, and output format. The AI drafts under source-verification and triangulation constraints. The physician retains final authority over every clinical claim before it reaches a patient or clinician. The AI drafts. The clinician directs, reviews, and executes.

This is not a shortcut. It is a discipline — one built from 50 years of clinical practice, 175+ peer-reviewed publications, and the hard-won understanding that in medicine, the cost of a confident error is not an embarrassing correction. It is a patient.

Physician-Defined Structure Source Verification at Every Step Clinician Retains Final Authority

Structured Collaboration™ & SC Coding© 2026 Amos Grünebaum, MD — All rights reserved.

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