ResearchPilotResearchPilot
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Idea to study

AI Agent generates and vets medical research directions

Enter a research question; AI generates candidate directions and reviews each for novelty, feasibility, and risk.

Generate directionsSee how it works
Example: Evaluation Summary (Excerpt)

Analysis of Metabolic and Renal Function Indicators for Referable Retinopathy Risk in Type 2 Diabetes Patients

Population
Type 2 diabetes patients
Exposure
HbA1c, eGFR, ACR
Outcome
Referable retinopathy

Research Evaluation

Novelty7/10

Moderate-High

Feasibility8/10

Relatively High (retrospective data available)

Potential Risk

Confounding and indicator collinearity exist

Evidence Signals

PubMed

Existing research focuses on single risk factors, but systematic analysis of 'progression velocity' remains limited

This example is for output format demonstration only and does not constitute specific research conclusions.

Methodology
PubMed literature-signal validationEvidence-based methodology frameworkNot a substitute for expert judgment

How ResearchPilot Supports Research Decisions

A unified evaluation framework for explainable review and guidance

01

Define the Research Question

Clarify domain, population, exposures, outcomes, and data availability.

02

Generate Candidate Directions

Generate and deduplicate in parallel to form a comparable set of directions.

BasicParallel generation and deduplication.
AdvancedDeeper inference with boundary risk checks and a research blueprint.
03

Structured Review

Evaluate novelty, feasibility, and risk with a consistent framework.

BasicCore risk coverage.
AdvancedFiner-grained risk identification with reviewer-style scrutiny.
Supporting: Retrospective data available, adequate sample sizeRisk: Indicator collinearity must be adjusted for in the model
04

Decision Guidance

Output evaluation summaries and next-step guidance; full reports live in the Workspace.

BasicStructured evaluation summary.
AdvancedIn-depth review report with blueprint.

Methodology & Compliance

Structured review and clear boundaries for medical research workflows

Methodology framework

A unified framework for novelty, feasibility, and risk review.

  • Structured dimensions with score guidance
  • Key variables and design pathway hints
  • Explicit risk and uncertainty disclosure

Compliance & boundaries

Clarifies decision-support scope and ethical responsibilities.

  • Not a substitute for clinical judgment or ethics review
  • Outputs are for research reference and planning
  • Validate with real data and expert review

Key Problems ResearchPilot Helps You Solve

Explainable decision support through direction comparison, risk review, and feasibility checks

Reduce Direction Selection Uncertainty

Transform scattered ideas into a comparable pool of research directions to help identify the most promising path.

Identify Duplication Risks & Novelty Gaps

Use literature signals to surface potential duplication and reduce wasted exploration.

Clarify Next-Step Study Design

Provide design concepts and statistical pathways aligned with the research question.

Principles & Boundaries

Decision support, not clinical or ethics replacement

Scope

  • Help researchers evaluate and screen research directions at early stages
  • Provide explainable evaluation basis and real-constraint analysis
  • Support research planning, while final judgment remains with the researcher

Not Provided

  • Does not automatically generate full papers or complete protocols
  • Does not promise publication or ethics approval outcomes
  • Does not replace professional statistical consulting or domain expert opinions

New User Welcome Bonus

New user benefit: 50 research credits + 7 days of Pro when you sign up

Generate directions

ResearchPilot provides structured research direction assessment, risk guidance, and methodology hints to support feasibility and novelty review before study launch.

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