We diagnose what's broken in healthcare AI adoption—and build the cure.
You're drowning in AI vendor pitches without clinical context to separate breakthrough from snake oil.
Every conference promises "revolutionary AI that will transform healthcare." But when you dig deeper, you find marketing materials written by people who've never treated a patient or defended a budget to a hospital board.
What happens next? Implementation disasters. Wasted budgets. AI tools that create more work instead of reducing it.
We've been exactly where you are.
During late-night conversations between us, we realized healthcare was adopting AI like downloading a consumer app—not implementing medical technology that affects patient lives.
Each of us had navigated healthcare AI from different angles, but we all shared the same frustration with the vendor noise drowning out clinical truth.
So we built the Clinical AI Diagnostic Framework
We apply the same systematic methodology physicians use for patient care to evaluate healthcare AI:
1
Presenting
Symptoms
Symptoms
2
Taking
History
History
3
Physical
Examination
Examination
4
Consulting
Specialists
Specialists
5
Prescribing
Treatment
Treatment
6
Follow-up
Care
Care
Every Tuesday, we cut through the noise.
No sales pitches. No AI evangelism. Just honest conversations from people who've built, bought, and implemented these technologies in real clinical settings.
This helps you avoid costly mistakes and make decisions you can defend to your board.
Instead of second-guessing AI vendors, you'll lead your organization's digital transformation with confidence—while keeping patient care at the center of every decision.
If you're tired of making AI decisions based on vendor demos instead of clinical evidence, we'd love to help.
Signal & Symptoms gives you the frameworks and insights to evaluate healthcare AI with the same rigor you bring to the work you do.
Meet Your Roundtable Experts
Junaid Kalia, MD
Neurologist & AI Startup Founder
Dr. Junaid Kalia is a board-certified neurologist specializing in neurocritical care who founded NeuroCare.AI, developing breakthrough AI applications like NeuroICH for detecting cerebral hemorrhage and AIZAMD for clinical documentation.
With 1,632+ citations and plans for FDA approval, he's democratizing healthcare AI globally while maintaining his clinical practice where he reduced UTI rates from 26% to just 1 event per year.
Harvey Castro, MD, MBA
Emergency Medicine Physician & "Dr. GPT"
Dr. Harvey Castro is an emergency medicine physician and serial entrepreneur who transformed from treating crisis after it walked through the doors to harnessing AI, orbital sensors, and space-borne imaging to predict illness before symptoms strike.
As "#DrGPT" and advisor to the Singapore Ministry of Health, he's implemented AI triage blueprints in 40+ emergency departments achieving 18% faster door-to-doctor times while authoring the definitive books on ChatGPT in healthcare.
Edward Marx
Healthcare Digital Transformation Leader
Edward Marx spent over 20 years in healthcare C-suites including CIO roles at Cleveland Clinic and NYC Health & Hospitals, discovering his calling at the convergence of clinical environments, business operations, and digital infrastructure.
As CEO of Marx Advisory and LinkedIn's "Top 25 Healthcare Influencer," he's the bestselling author of "Healthcare Digital Transformation" with a Top 3% globally ranked podcast, bringing enterprise-level strategic expertise to healthcare AI implementation.
Our Core Values
Clinical
Precision
Evidence-based analysis, not vendor hype.
Diagnostic Clarity
Complex AI made easy for healthcare professionals.
Collaborative Expertise
Combining clinical, strategic, and academic perspectives.
Patient-Centered Focus
Technology that genuinely improves patient outcomes.
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