The Advanced Differential Diagnosis (DDx) Engine.
Reduce diagnostic error and combat cognitive bias. Input your patient’s clinical picture—including history, physical exam findings, and lab results—and generate a comprehensive, probability-ranked differential diagnosis in seconds.
🔬 Diagnosis Assistant
Clinical reasoning for differential diagnosis and case analysis.
🤖 AI Clinical Reasoning Assistant
Enter patient information to receive AI-powered differential diagnosis with likelihood rankings and suggested workup.
Core Capabilities
Built for Clinical Reasoning
- 📋 Multi-Modal InputDon’t just search symptoms. Input raw data:
- Demographics: Age, Sex, History.
- Vitals: BP, HR, SpO2, Temp.
- Labs: “Sodium 125”, “WBC 18k”, “CRP Elevated”.
- Physical Exam: “Murmur grade 3/6”, “Positive Murphy’s sign”.
- 🧠 Probability RankingThe AI ranks potential diagnoses by likelihood (High/Moderate/Low) based on the prevalence of the disease and the specificity of the findings provided.
- ⚠️ “Must Not Miss” AlertsWe separate the Likely from the Critical. Even if a dangerous condition (e.g., Aortic Dissection) is rare, the system flags it as a “Must Rule Out” based on red-flag symptoms.
- 🧪 Workup GuideDon’t just get a name. The tool suggests the Next Best Step in management or the specific diagnostic test (Gold Standard) needed to confirm the hypothesis.
The AI Advantage
Combat “Anchoring Bias”
In fast-paced clinical environments, it is easy to fixate on the first likely diagnosis. [Your Tool Name] acts as your cognitive safety net.
- Pattern Recognition: Detects subtle constellations of symptoms that point to syndromic or rare diseases (e.g., identifying Kawasaki Disease vs. Scarlet Fever).
- Lab Interpretation: It automatically correlates lab abnormalities. (e.g., Hyponatremia + High Urine Osmolality $\to$ Suggests SIADH vs. Hypovolemia).
- Evidence Links: Every suggested diagnosis links to its monograph, referencing UpToDate or Harrison’s Principles of Internal Medicine criteria.
Use Cases
From Medical School to Attending Rounds
| User | Benefit |
| Medical Students | Learn to build a DDx. See why a diagnosis was suggested based on the inputs. |
| Junior Doctors | Quick verify during admissions. Ensure no critical differentials were missed before presenting to the Attending. |
| Nurse Practitioners | Expand diagnostic scope for complex patients with multiple comorbidities. |
| Rural Clinicians | Generalist support when Specialist referral is not immediately available. |
The Future of Clinical Decision Support (CDSS)
Augmenting, Not Replacing
The AI medical diagnosis field is evolving. [Your Tool Name] is designed to fit into the SOAP note workflow. It takes the Subjective and Objective data and assists with the Assessment, allowing the clinician to focus on the Plan.
Handling Complex Internal Medicine
For patients with vague presentations—such as “Fever of Unknown Origin (FUO)” or “Altered Mental Status”—our diagnostic reasoning tool helps systematically parse through infectious, autoimmune, and neoplastic etiologies, ensuring a thorough workup.
Safety & Liability
Professional Disclaimer
For Healthcare Professionals Only
This tool is a Clinical Decision Support System (CDSS) intended for use by licensed healthcare providers. It is designed to assist in the diagnostic process, not to replace professional judgment. All outputs should be verified against standard clinical guidelines.
Frequently Asked Questions
Diagnosis Assistant FAQ
Q: Is this HIPAA compliant?
A: Yes. The tool is designed to be “de-identified.” You should never input Patient Names or MRNs. We process the clinical values (Age, Symptoms, Labs) without storing personal identifiers.
Q: How does it handle rare diseases?
A: Our database includes over 8,000 distinct conditions, including orphan diseases. If the specific constellation of symptoms matches a rare genetic disorder, it will appear in the differential, often highlighted as a “Zebra” case.
Q: Can I copy the results into my EMR?
A: Yes. You can export the DDx list and the “medical reasoning” summary to clipboard to assist in writing your documentation (e.g., “Differential diagnosis includes X, Y, and Z; plan to rule out X via CT scan…”).
