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Draft evaluation
Build a Google ADK & OpenAI o3 Multi-Cancer Diagnostic Utility Agent — evaluation
Evaluates agent ability to generate appropriate follow-up diagnostic pathways from MCED signals.
Evaluation type
task based
Challenge
Build a Google ADK & OpenAI o3 Multi-Cancer Diagnostic Utility Agent
Difficulty
Advanced
Rigor
Not declared
The author has not specified a rigor level.
Evaluation overview
How the linked challenge is judged: tasks, benchmarks, and criteria count.
Tasks
1
Benchmarks
0
Criteria
0
Task templates
Inputs and expected outputs.
Task 1
mced_diagnostic_eval
Evaluates clinical action plan and tissue-of-origin workup recommendation accuracy.
Input format
JSON containing signal_detected (boolean), predicted_too (string), and patient_age (int).
Output format
JSON with recommended_workup (list), recommended_imaging (list), and clinical_summary (string).