{"slug": "1m-to-advance-ai-medical-documentation-and-decision-support", "title": "$1M to advance AI medical documentation and decision support", "summary": "DARPA is launching the Documentation and Decision Support (D2) Sprint, a $1 million prize competition to advance AI-driven medical tools for battlefield casualty care, where 75% of pre-hospital combat casualty care currently goes unrecorded. Team Qualifications open Sept. 10, 2026, with final submissions due March 1, 2027 and awards on March 26, 2027; each of the two tracks — Documentation and Decision Support — pays $300,000 for first place, $150,000 for second, and $50,000 for third. \"By leveraging artificial intelligence, we can provide warfighters with real-time clinical decision support and automated documentation,\" said Dr. Jeremy C. Pamplin, DARPA program manager for the D2 Sprint.", "body_md": "##### Sept. 14, 2026\n\nTraumatic injury remains a critical threat in large-scale combat operations, where 75% of pre-hospital combat casualty care currently goes unrecorded. To address this severe limitation and support warfighters providing point-of-injury care, DARPA is launching the [Documentation and Decision Support (D2)Documentation and Decision Support (D2) Sprint](https://www.darpa.mil/research/challenges/d2), a $1 million prize competition designed to rapidly advance AI-driven medical tools.\n\nSpecifically, the D2 Sprint aims to spur the development of software that can automatically assess casualties, recommend and guide care, monitor quality, and seamlessly document medical interventions. \"In chaotic battlefield environments, capturing medical data and making split-second clinical decisions is incredibly difficult for non-specialists,\" said Dr. Jeremy C. Pamplin, DARPA program manager for the D2 Sprint. \"By leveraging artificial intelligence, we can provide warfighters with real-time clinical decision support and automated documentation, ensuring better care at the point of injury and a seamless handoff to higher echelons of care.\"\n\nThe DARPA D2 Sprint will kick off officially with Team Qualifications opening Sept. 10, 2026. The competition will feature two main tracks:\n\n| **Documentation Track**  |  | \n| 1st place | $300,000 | \n| 2nd place | $150,000 | \n| 3rd place | $50,000 | \n\n| **Decision Support Track**  |  | \n| 1st place | $300,000 | \n| 2nd place | $150,000 | \n| 3rd place | $50,000 | \n\nFinal team submissions are due March 1, 2027, with the Awards Ceremony scheduled for March 26, 2027. DARPA is collaborating with key partners to execute the sprint, including Massachusetts Institute of Technology Lincoln Labs (MIT-LL), Air Force Research Lab (AFRL), JHU Applied Physics Lab, Navel Air War Center Training Support Division (NAWCTSD).\n\nInnovators in AI, machine learning, and medical software are encouraged to participate. The Biological Technologies Office will host an Industry Day for potential competitors on Tuesday, Sept. 22, 2026. To register, visit: [https://www.sam.gov](https://sam.gov/opp/b393a967de4f4c64b258fb233a3352ff/view).\n\nFor more information about the D2 Sprint, including rules, metrics, and registration details, visit [https://centralfloridatechgrove.org/darpa-d2-sprint/](https://centralfloridatechgrove.org/darpa-d2-sprint/).\n\n##\n\n*Media with inquiries should contact DARPA Public Affairs at* *outreach@darpa.mil**.*\n\n| **“** |  By leveraging artificial intelligence, we can provide warfighters with real-time clinical decision support and automated documentation, ensuring better care at the point of injury and a seamless handoff to higher echelons of care. – **Dr. Jeremy C. Pamplin,** D2 Sprint program manager |", "url": "https://wpnews.pro/news/1m-to-advance-ai-medical-documentation-and-decision-support", "canonical_source": "https://www.darpa.mil/news/2026/darpa-sprint-d2", "published_at": "2026-09-10 13:16:10+00:00", "updated_at": "2026-09-15 03:30:50.378067+00:00", "lang": "en", "topics": ["artificial-intelligence", "ai-policy", "ai-products"], "entities": ["DARPA", "Documentation and Decision Support (D2) Sprint", "Jeremy C. Pamplin", "Massachusetts Institute of Technology Lincoln Labs", "Air Force Research Lab", "JHU Applied Physics Lab", "Navel Air War Center Training Support Division", "Biological Technologies Office"], "alternates": {"html": "https://wpnews.pro/news/1m-to-advance-ai-medical-documentation-and-decision-support", "markdown": "https://wpnews.pro/news/1m-to-advance-ai-medical-documentation-and-decision-support.md", "text": "https://wpnews.pro/news/1m-to-advance-ai-medical-documentation-and-decision-support.txt", "jsonld": "https://wpnews.pro/news/1m-to-advance-ai-medical-documentation-and-decision-support.jsonld"}}