Astra MD

Modern clinicians work under conditions of cognitive overload and informational fragmentation. Astra addresses three critical tasks that arise in nearly every clinical encounter:
1 Evidence retrieval: What do landmark randomized trials, guidelines, or systematic reviews recommend for a given scenario?
2 Diagnostic reasoning: How should competing diagnoses be weighted and investigated?
3 Therapeutic planning and documentation: What is the next best step, and how should it be communicated clearly and defensibly?

Astra is designed to assist—not replace—clinical judgment. It surfaces cited, contextualized insights to inform decision-making without disrupting workflow.

Functional Overview

Research Agent

Designed for time-sensitive decision-making, the Research Agent interprets focused clinical questions and retrieves concise, citation-backed summaries. It prioritizes high-quality evidence—such as randomized trials, meta-analyses, and guideline statements—and displays only results that can be traced to trusted, peer-reviewed sources.

Differential Agent

Given a presenting problem, the Differential Agent produces a structured, ranked list of possible diagnoses. Each entry includes supporting clinical features, relevant likelihood ratios, and recommended tests to refine pre-test probabilities. Its output is modeled after real-world diagnostic reasoning: probabilistic, prioritized, and evidence-aware. Whenever possible, it references landmark studies, scoring systems, or validated diagnostic criteria (e.g., Wells, Centor, PERC).

Assessment & Plan Agent

The A&P Agent transforms raw clinical impressions into structured documentation that mirrors modern standards of care. It frames problems in a SOAP-style format or by active issue, and recommends evidence-aligned management steps—labs, imaging, consults, pharmacotherapy, and monitoring. Each suggestion is mapped to a specific citation when available, creating a transparent, reviewable clinical trail. It is designed to support day-to-day rounding, rapid note writing, and preparation for case presentations or handoffs.

Technical Foundations
• Modular agent system: Each clinical function is handled by a distinct reasoning module trained and retrieved against relevant medical literature
• Retrieval-based synthesis: Embedding-based search across a curated corpus of clinical trials and guidel