Thalamus AI Hub

Thalamus has been innovating in medical education for over a decade. Today, we stand at the forefront of shaping how artificial intelligence (AI) can responsibly improve residency and fellowship recruitment. This hub is our commitment to transparency, fairness, and mission — a central space to explore our policies, methodologies, product features, and educational resources.

Our Ethical AI Principles

Guided by Principles, Built for Trust

They represent our Commitment to the UME and GME communities.

Transparency

We show exactly how our AI works — and what it does and doesn’t do.

Ethics

Guided by the AAMC’s Principles for the Responsible Use of AI in Medical Education; built to reduce bias and protect applicants.

Mission

Ensure the right doctors ends up at the right hospital to treat the right patients.

Impact

Investing in equity and systemic reform through scholarships and workforce research.

Innovation

Responsible technology that strengthens and enhances GME and physician recruitment for all.

AI in Our Products

How We Use AI, And How We Don’t

Our philosophy is simple: AI should support, not replace, human decision-making.

We build tools that directly address day-to-day challenges in recruitment, save faculty time, and create a fairer process for applicants.

What AI does at Thalamus

Enhanced Grade Normalization (Cortex): Transcript and MSPE analysis within and across medical schools.

Academic Career Interest Badge (Cortex): Standardized detection of academic career interest in personal statements.

What AI does NOT do at Thalamus

No automatic filtering, selection or rejection.

No policing of essays written with AI tools, avoiding unfair biases to applicants.

No "black box" scoring. We are committed to mission-aligned selection and retention.

AI Methodology

Thalamus AI Insights: Methodology

We’re committed to transparency in how AI is used across Thalamus products.
Live AI

Cortex

Tech-assisted application screening and review to support mission-aligned selection and retention.

  • Enhanced Grade Normalization (Cortex): Provides standardized review of transcripts and MSPEs within and across medical schools.

  • Academic Career Interest Badge (Cortex): Identifies academic career interest in personal statements to support fair, consistent, and equitable application review.

No AI currently in use

Thalamus Core

Interview scheduling and management

No AI currently in use

Thalamus Video

Video interview platform

No AI currently in use

Cerebellum

Data and analytics dashboard

No AI currently in use

Automated Itinerary Wizard

Itinerary building

Our Core DNA

Who We Are & What We Care About

Thalamus is not just software. We are a Public Benefit Corporation (PBC), built by and for the physician educational pathway, ensuring equity, transparency, and trust. Backed by mission-driven investors and grounded in real-world physician workforce research, we are committed to making sure every doctor finds the right training path — and every patient has access to the right care.

Physician-Founded

Built by a former applicant and current program director to streamline and humanize the GME recruitment process.

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Public Benefit Corporation

Corporate charter includes our public benefit purpose centered on equitable access to training, reducing systemic inequities, and improving patient outcomes.

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Free for Applicants

The only platform in GME that charges applicants $0. Programs and health systems purchase Thalamus because of the value, efficiency, fairness, and outcomes our platform delivers.

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Nonprofit Commitment

Through our sibling non-profit organization, Thalamus.org, we fund scholarships and grants to reduce financial barriers in applying to residency.

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Thought Leadership

Our publications spotlight systemic challenges and opportunities in GME recruitment and the broader physician workforce.

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Mission-Driven Investors

Backed by social impact-driven investment, such as from Kapor Capital, we’ve taken a pledge to bias reduction, impact goals, and education.

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Our Ethical AI Policy

AI should support, never replace, human judgment. Our Ethical AI Policy outlines how we design and deploy AI responsibly, with accountability at every step.
  • Bias detection and mitigation incorporated into product development.

  • Privacy-first approach to applicant and program data.

  • Commitment to publish methodology white papers for every AI feature.

  • Independent oversight and future advisory input.

Coming Soon

Transparency through Research and Methodological Outcomes

We publish technical and methodology white papers for each AI feature we introduce. These documents show the community exactly how our systems work, why they were designed, and how they are validated.
Future Ethical AI Advisory Board

Independent Oversight for the Future

We are building an AI Ethical Advisory Board of physicians, ethicists, and technologists. This group will provide independent oversight, ensuring our AI always aligns with the mission of equity, transparency, and fairness.

Annual AI & Ethics Report

Accountability requires visibility. Every year, we publish a report on our AI’s adoption, impact, and ongoing improvements — with case studies, adoption metrics, and external advisory input.
Report Coming Soon