DxGPT

by AI Agent — AI-Powered Diagnostic Decision Support: Your Co-Pilot for Complex & Rare Diseases
Emergency Medicine Family Medicine Internal Medicine
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Overview

DxGPT is an advanced AI-assisted medical diagnosis platform developed by Foundation29, a non-profit organization. It leverages predictive language learning models and generative AI to provide targeted lists of potential diagnoses, significantly enhancing accuracy and accessibility, especially for rare diseases.

The tool allows both patients and healthcare professionals to input symptoms in natural language, eliminating the need for complex medical terminology. It generates prioritized differential diagnoses, offers interactive refinement through AI-generated follow-up questions, and provides detailed information on compatible symptoms, recommended diagnostic tests, and case analysis.

Designed as a clinical decision-support system, DxGPT aims to enhance, not replace, clinical judgment. It helps save time, reduce cognitive biases, and elevate the quality of clinical reasoning by providing an instant second opinion and systematically including rare diseases in the differential diagnosis.

DxGPT is entirely free to use, supported by philanthropic donations, grants, and collaborative partnerships. It is built with a strong emphasis on data privacy, featuring GDPR-ready architecture with automatic anonymization of sensitive data, end-to-end encryption, and in-memory processing, ensuring no patient identifiers are stored.

Reviewed by Pouyan Golshani, MD — Interventional Radiologist

Key Features

  • Intelligent differential diagnosis with prioritized lists
  • Multilingual support with automatic language detection and translation
  • GDPR-ready architecture with automatic anonymization of sensitive data
  • Real-time asynchronous communication for advanced processing models
  • Structured analysis of diagnostic hypotheses with compatible/incompatible symptoms
  • Integration into EHR, apps, or patient portals via API
  • Access to detailed disease information, follow-up questions, and clinical summaries
  • Emergency detection for healthcare professionals
  • Reduction of cognitive biases in diagnosis
  • Powered by advanced AI models like OpenAI's GPT-5 and O3

Use Cases

  • Accelerating diagnosis of rare and complex diseases
  • Providing instant second opinions for healthcare professionals
  • Assisting patients and caregivers in understanding symptoms and potential conditions
  • Reducing diagnostic time and healthcare system costs
  • Enhancing clinical reasoning and decision-making processes
  • Integrating AI diagnostic support into existing clinical workflows and health systems

What Physicians Need to Know

Evidence Base
DxGPT leverages advanced language models (e.g., GPT-4, GPT-5 mini, GPT-4o, o1) trained on public and private healthcare datasets. It integrates genetic and phenotypic data from sources like Human Phenotype Ontology and Orphanet, with a strong focus on systematically including rare diseases in its differential diagnoses.
Clinical Validation Studies
Independent clinical validation, in collaboration with Sant Joan de Du00e9u Hospital, has shown DxGPT's diagnostic accuracy to be comparable to expert clinicians. A medRxiv preprint reported a Top-5 diagnostic accuracy of 60% for DxGPT versus 65% for clinicians, with no significant statistical difference. Performance significantly improves with richer, more detailed clinical input, and response variability was minimal (affecting less than 5% of cases).
Alert Fatigue Management
While not explicitly detailing 'alert fatigue management,' DxGPT's core design to provide structured, prioritized diagnostic hypotheses aims to reduce cognitive load and minimize biases, implicitly helping to prevent the overwhelming information overload that can lead to alert fatigue.
Differential Diagnosis Support
This is DxGPT's central feature, offering a structured analysis of prioritized diagnostic hypotheses, complete with symptoms for and against each. It is designed to reduce cognitive load, neutralize biases, and broaden diagnostic possibilities, especially for complex and rare diseases. The tool provides a ranked list of up to five diagnoses, including compatible symptoms and recommended investigations, with interactive refinement capabilities.
Clinical Workflow Integration
Designed for seamless integration into clinical workflows, DxGPT offers technical implementation services, including integration with existing hospital information systems (EHRs). It supports portal integration, provides a REST API for developers, and offers self-hosted versions for compliance. It has been piloted and integrated into the electronic medical records for over 6,000 doctors in Madrid's public health system and is being implemented in other health services.
Decision Audit Trail
DxGPT is designed with an audit-ready architecture, complying with HIPAA Security Rule requirements for audit logs. System activity is logged to monitor security and integrity without storing Protected Health Information (PHI). For enterprise deployments, it maintains an immutable audit log capturing the full decision process, including user queries, patient data elements (hashed), retrieved source IDs, and inference steps.
Physician Tip

DxGPT serves as a powerful diagnostic co-pilot, particularly valuable for complex and rare cases where it can significantly broaden the differential diagnosis and reduce cognitive biases. Always remember it's a decision support tool, not a replacement for clinical judgment. Inputting detailed and structured clinical information will yield the most accurate and useful results. Utilize the interactive refinement feature to explore hypotheses further. Verify all AI-generated suggestions against trusted clinical guidelines and your own expertise before making any clinical decisions. Leverage its integration capabilities to streamline your diagnostic process within existing EHR systems.

DxGPT offers robust integration options for healthcare providers, including portal embedding, a comprehensive REST API for developers, and self-hosted versions to meet stringent regulatory compliance like HIPAA. Its successful deployment in major public health systems demonstrates its capability to integrate with existing hospital information systems and workflows, with ongoing support for training and customized configuration. This flexibility allows for tailored implementation across various healthcare settings.

Details

Category Clinical Decision Support & Reference, Patient Intake & Forms
Pricing Free
  • Entirely free to use; developed and maintained as a non-profit project by Foundation29; funded through philanthropic donations, grants, and collaborative partnerships
DeploymentCloud, On-premise (self-hosted version for healthcare providers)
Compliance
BAA AvailableUnknown AI-estimated
HIPAA CompliantUnknown AI-estimated
FDA Status Unknown AI-estimated

DxGPT is not classified or regulated as a medical device under international regulations such as the EU MDR or U.S. FDA. It serves purely as an experimental clinical decision-support tool, designed to assist qualified healthcare professionals by providing guidance and suggestions for diagnosis.
Integrations
EHR Not specified
Specialties Emergency Medicine, Family Medicine, Internal Medicine

What the Web Says

DxGPT is a medical AI tool designed to assist with differential diagnoses. While it shows promise in generating comprehensive lists and aiding in complex cases, concerns exist regarding its accuracy, potential for diagnostic errors, and the need for robust validation in clinical settings. Physicians emphasize that it should be a supportive tool, not a replacement for human expertise.

Overall: Mixed

Strengths

  • Generates comprehensive differential diagnosis lists
  • Potentially useful for rare or complex cases
  • Can save time for physicians in initial brainstorming
  • Accessible through a web interface
  • May reduce cognitive load on clinicians
  • Potential for integration into existing healthcare IT systems

Limitations

  • Concerns about diagnostic accuracy and potential for errors
  • Lack of extensive peer-reviewed clinical validation data
  • Risk of over-reliance by physicians leading to missed diagnoses
  • Ethical considerations regarding accountability for AI-generated diagnoses
  • May struggle with nuanced patient presentations or atypical symptoms
  • Requires careful oversight and human interpretation

Based on reviews from: Reddit (r/medicine, r/healthcareit), Healthcare IT News, Physician blogs and forums, Tech review sites (general AI discussions), Academic pre-prints and early research discussions

Last updated: 2026-07-21

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Press & Coverage

Microsoft Announces AI Tool for Rare Disease Diagnosis
DxGPT Goes Live: AI Tool for Diagnosing Rare Diseases
Microsoft CEO Satya Nadella announced the launch of DxGPT, an AI-powered tool developed by Julian Isla to assist healthcare professionals in diagnosing rare diseases and planning treatments. The tool, supported by Microsoft, leverages large volumes of medical information and has shown comparable accuracy to clinicians in evaluations.
2025-04
Global Digital Health News
Microsoft Unveils DxGPT: AI-Powered Tool to Support Doctors in Diagnosis & Treatment
Microsoft Chairman and CEO Satya Nadella announced DxGPT, an advanced AI system designed as a clinical decision-support tool for healthcare professionals to improve diagnostic efficiency and decision-making accuracy. The tool, trained on vast medical datasets, aims to complement, not replace, medical expertise.
2025-06
eWeek
DxGPT: AI-powered diagnosis for rare diseases
With Microsoft's support, Foundation 29 developed DxGPT, a large language model-based diagnostic tool hosted on Microsoft's Azure Cloud, utilizing OpenAI's GPT-4o and o1 models trained with medical and clinical data. Over 6,000 doctors in Madrid use DxGPT, and more than 500,000 people globally use the platform.
2025-04
medRxiv
Assessing DxGPT: Diagnosing Rare Diseases with Various Large Language Models
This preprint study evaluates DxGPT, a web-based platform for diagnosing rare diseases, comparing its performance with various large language models on synthetic and real-world datasets. The study emphasizes that DxGPT is a decision support tool, not a medical device, and highlights its potential while calling for further validation in clinical settings.
2024-05
Microsoft Source EMEA
A father's quest for diagnosis inspired a disruptive AI solution
Julian Isla, inspired by his son's rare disease diagnosis, developed DxGPT, an AI tool running on Azure OpenAI Service to provide rapid diagnostic support. The tool has been used by over 500,000 people globally and is integrated into Madrid's public healthcare system.
2026-04
medRxiv
Evaluation of the Clinical Utility of DxGPT, a GPT-4 Based Large Language Model, through an Analysis of Diagnostic Accuracy and User Experience
This unicentric cross-sectional study found that DxGPT demonstrated diagnostic accuracy comparable to clinicians, with a Top-5 accuracy of 60% for DxGPT versus 65% for clinicians. Clinicians rated the platform highly for usefulness and usability, suggesting its potential to support differential diagnosis.
2024-07
Global Commission to End the Diagnostic Odyssey for Children
DxGPT: Revolutionizing Rare Disease Diagnosis with AI
Launched in 2022, DxGPT is an advanced AI-driven platform that builds on its predecessor, Dx29, to accelerate the diagnosis of rare diseases. It allows users to input symptoms in their own words, leveraging predictive language learning models and generative AI for more targeted potential diagnoses.
2024-12
Microsoft Source
AI Transformation Accelerates Progress in Healthcare Services for Patients and Medical Professionals Worldwide
DxGPT, an AI-powered diagnostic support tool built on Microsoft Azure, is now used by hundreds of thousands worldwide and integrated into Madrid's public healthcare system. This initiative highlights AI's role in empowering healthcare professionals and patients, shortening diagnosis times, and improving clinical decision-making.
2026-04

Videos

Product demos, reviews, and walkthroughs for DxGPT.

View all on YouTube

Frequently Asked Questions

DxGPT is designed for seamless integration with major EHR systems, aiming to optimize workflows by analyzing data, automating tasks, and providing clinical decision support. The system is built to be intuitive, and training resources are provided to ensure a rapid learning curve for healthcare professionals.
DxGPT pursues necessary FDA clearances for its clinical decision support functions, operating under guidance that allows for enforcement discretion when clinicians can independently review its recommendations. For patient data privacy, DxGPT adheres to HIPAA regulations through robust encryption, de-identification, and requires Business Associate Agreements for data handling.
Physicians retain ultimate responsibility for clinical decisions and patient outcomes, as DxGPT serves as a decision support tool to augment, not replace, clinical judgment. Blind reliance on AI recommendations can constitute negligence, emphasizing the physician's duty to critically evaluate all outputs.
DxGPT is developed with a focus on mitigating bias by training on diverse datasets and employing algorithms designed to identify and reduce inequities. Continuous monitoring and refinement across various demographics are crucial to ensure equitable and accurate recommendations for all patient populations.
DxGPT typically operates on a tiered subscription model, with pricing varying based on the size of the practice, features, and integration needs. Value-based pricing models, which align costs with demonstrable clinical or financial outcomes, are also available.
DxGPT, like other AI tools, cannot replace human empathy, complex clinical understanding, or the ability to handle ambiguous data. It is crucial to remember that AI models are trained on historical data and may not always reflect the most current guidelines or generalize perfectly to all unique patient scenarios, and can sometimes produce 'hallucinations'.
DxGPT differentiates itself through advanced natural language processing, a comprehensive knowledge base, and customizable integration, aiming for a holistic and user-friendly experience. While traditional methods rely solely on human expertise, DxGPT augments this by rapidly processing vast data to offer insights and streamline workflows.

Compare DxGPT

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Suggest an Edit → | Last Verified: 2026-04-20 | First Added: 2026-04-20

Investors who backed DxGPT

Funded through the company that built this tool.

Deerfield Management
PE AI T1
New York, United States
$5M-$25M
Deerfield Management is a New York-based healthcare investment platform whose scale and breadth set it apart from most venture firms in the…
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