Upload a clinical PDF and let AI pre-fill these fields.
Screening (guideline-based decisions)
No arbitrary percentages: qualitative indicators and EAU/AUA/NCCN recommendations.
Inputs
Enter total PSA for each dated draw and add free PSA when available. PSA density uses the latest total value; % free PSA uses the latest pair.
Qualitative indicators
PSA trend
Background keyed to PSA density using the provided volume.
Recommendation
Import exams and reports to auto-populate the localized scenario.
Localized — risk stratification & decision support
Care pathway
Choose whether you are evaluating a treatment-naïve patient or someone already treated.
Inputs (EAU 2024 + Briganti 2019)
Positive core percentage: —
Output (EAU + Briganti)
Post-treatment history
Post–radical prostatectomy
Enter at least two dated values to estimate doubling time (EAU 2024).
Use historical reports to speed up completing this scenario.
mHSPC — approved therapies and notes
Inputs
Values feed the trend chart below.
✅ Recommended
🟨 Consider
⛔ Avoid
Why (rationale + trials)
Approved options (filtered by risk/burden)
Integrate extensive reports to suggest next lines with more context.
mCRPC — prior lines & decision support
Clinical context
Completed systemic therapies
Use the canonical options (ADT Monotherapy, Docetaxel, Cabazitaxel, ARPIs, PARP inhibitors, Radium-223, 177Lu-PSMA-617, Sipuleucel-T) so the rule engine and AI intake can auto-match therapies.
PSA tracking
Document the PSA trajectory alongside systemic therapy choices.
Guideline-first engine
✅ Eligible
🟨 Consider
⛔ Avoid
Rationale & trials
Suggestions follow EAU/NCCN guidance and cited trials; they do not replace clinical judgement.