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Clinical Webinar · September 17, 2026
The Clinician's
Guide to AI.
Models, data, and better decisions at the point of care.
Learn how to think about large language models as practical clinical tools rather than mysterious “AI.” Join Tim Oates, Ph.D., Chief Data Scientist at Synaptiq, to see how their usefulness grows as you give them richer, more relevant context — from general health questions, to reasoning about an individual case, to synthesizing longitudinal records, labs, and wearable data.
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Why This Matters
What you feed AI determines what it's worth.
A general-purpose model gives general answers. The same model becomes a genuine clinical tool when it is grounded in the right, patient-specific context.
What Most People Mean by AI
A chatbot with no context.
- General health questions
- Textbook-level answers
- No view of the patient
- Plausible, but unverifiable
What That Misses
The things that make it clinical.
- Patient-specific context
- Longitudinal synthesis
- Provenance and evidence
- Exposed uncertainty
Context-Grounded AI Reveals
Decisions you can act on.
- Patterns across labs and wearables
- Meaningful changes over time
- Evidence-backed reasoning
- A path from insight to the source
Why Context Is the Lever
AI can connect signals across every system in the body.
The more of the picture a model can see, the more useful its reasoning becomes.
Context is not a nice-to-have. It is the difference between a generic answer and a clinical one. The data you connect is what makes AI useful.
Featured Speaker
Learn from a leader bridging AI research and practice.
AI & Machine Learning Expert
Tim Oates, Ph.D.
Chief Data Scientist ·
Tim Oates, Ph.D. is Chief Data Scientist at Synaptiq with more than 20 years of experience helping organizations apply AI and machine learning to solve complex business challenges.
He earned his Ph.D. in Computer Science from the University of Massachusetts Amherst, completed a postdoctoral fellowship at the MIT AI Lab, and serves as the Oros Family Professor of Computer Science at the University of Maryland, Baltimore County (UMBC), where he teaches AI and machine learning.
In This Session
Key takeaways.
Practical, clinical, and immediately applicable to the patients on your roster.
Context is everything.
The quality of AI depends heavily on the quality and relevance of its context. The same model becomes far more useful when grounded in patient-specific data.
LLMs are especially valuable for synthesis.
They help clinicians identify important changes, patterns, and relationships across large amounts of longitudinal information.
Asking better questions produces better results.
Practical techniques for defining the task, constraining the answer, requesting supporting evidence, and exposing uncertainty.
AI should augment judgment, not replace it.
Useful systems make it easy to move from an AI-generated observation back to the underlying evidence.
Wearables create new opportunities.
AI can surface patterns across sleep, activity, glucose, HRV, weight, and other continuous measurements that are hard to recognize manually.
The next step beyond chat is proactive AI.
Agents can help prepare for visits, monitor patient data, and surface changes that warrant attention, while keeping clinicians in control.
Designed For
Who should attend?
Inside Heads Up
See the complete picture.
AI becomes far more powerful when it can reason across everything you are already tracking. Heads Up unifies your clinical data into one longitudinal record — the context that makes AI genuinely useful.
James's sleep score is up 6 points since April. Across his connected data, three signals line up:
- HRV (Whoop) trending +9% — better overnight recovery.
- Glucose (Dexcom) more stable — 96% time-in-range, fewer late-evening spikes.
- Activity (Apple) 42 weekly zone minutes, but sessions after 7pm correlate with lower deep sleep.
His testosterone and VO₂ max both moved into optimal range over the same window. Suggest shifting workouts earlier to protect deep sleep.
Any model can answer a question. Context is what makes it clinical.
Measure your organization's
AIQ™ score.
Get started with our free AIQ™ assessment to measure your organization’s AI readiness — then share your AIQ™ score with your colleagues to take an initial step toward AI and data transformation.
Ready to put AI to work in your practice?
Discover how context-grounded AI helps clinicians synthesize longitudinal data, surface what matters, and make better decisions, with judgment kept firmly in your hands.
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