Clinical Suspecting AI: Structured Diagnostic Reasoning

Support your clinical reasoning with AI-assisted differential diagnosis, pretest probability estimation, and evidence-based diagnostic workflows.

Try Clinical Suspecting AI

AI-Assisted Differential Diagnosis

Generate a structured differential from symptoms, risk factors, and clinical findings with probability estimates.

Pretest Probability Support

Estimate pretest probability before testing to optimize test selection and reduce unnecessary procedures.

Evidence-Based Grounding

Every suggestion is grounded in PubMed literature and clinical guidelines with cited sources.

Bayesian Reasoning Framework

Update your probability estimates iteratively as new findings arrive, formalizing the diagnostic reasoning process.

How It Works

  1. 1

    Enter the patient's presenting symptoms, relevant history, and key exam findings.

  2. 2

    The AI generates a ranked differential diagnosis with estimated probabilities for each condition.

  3. 3

    Review the pretest probability estimates and recommended diagnostic workup for the top differentials.

  4. 4

    Update the assessment as new lab results or imaging arrive, with the AI recalculating probabilities.

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