
The Human Diagnosis Project
@hdx
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Join us in building an open intelligence system that helps medical professionals train and care for those in need.
Joined November 2013
RT @hacid_project: 🧵1/8.Our latest study in @PNASNews shows a powerful insight: combining human doctors with #AI (LLMs) leads to more accur….
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🚨 New research we co-published with @hacid_project,.@mpib_berlin, & @CNRsocial_ shows Human-AI collectives outperforming both individual doctors and the best LLMs in diagnostic accuracy. #AI #HealthTech #Diagnosis #CollectiveIntelligence.
mpib-berlin.mpg.de
Artificial intelligence (AI) can effectively support doctors in making diagnoses. It makes different mistakes than humans—and this complementarity represents a previously untapped strength. An...
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RT @hacid_project: The paper “Ontology Generation Using Large Language Models” shows how LLMs can support ontology engineering, outperformi….
link.springer.com
The ontology engineering process is complex, time-consuming, and error-prone, even for experienced ontology engineers. In this work, we investigate the potential of Large Language Models (LLMs) to...
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RT @hacid_project: Here we go again! The second webinar of the series on hybrid collective intelligence is going to take place soon! . Wha….
hacid-project.eu
We are organising a series of webinars to dig into the opportunities offered by hybrid collective intelligence, that...
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RT @hacid_project: We are proud to announce the first webinar of the serie organised by the @hacid_project about hybrid collective intellig….
linkedin.com
The webinar will explore the opportunities offered by hybrid collective intelligence, that is, the joint problem-solving abilities of humans and machines. We will discuss perspectives and challenges...
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RT @hacid_project: 1/8 🚀📄 New HACID project preprint! Our study shows that human-AI collectives, combining human ex….
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RT @mattshumer_: Open-sourcing `AI-Oracle`. Generates better responses than Claude 3 Opus. A very simple approach that combines the abili….
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Help us with our research on #CollectiveIntelligence by solving cases in the HACID pack in the HDx app: @mpib_berlin @cnr_istc @metoffice @nesta_uk @hacid_project
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RT @hacid_project: The Center for Collective Intelligence @nesta_uk and the @metoffice are collaborating to understand how a hybrid (human….
nesta.org.uk
Showcasing our findings and recommendations for supporting climate services to work more effectively
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RT @hacid_project: The first article of the HACID project is out! Hybrid Collective Intelligence for Decision Support in Complex Open-Ended….
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RT @hacid_project: Can you imagine the future of collaborative clinical decision support tools?.Partners @nesta_uk and @hdx are hosting in….
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RT @RosenelliEM: Today's GMR on @hdx was a case created by the late @Rafameed 🙏. A 42-year-old male with syncope, .
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RT @hacid_project: The HACID project was presented at the 3rd conference of @eu_tailor, the 🇪🇺Network of Excellence for Trustworthy #Aritif….
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RT @RosenelliEM: A 35 yo presents with shortness of breath. What’s your ddx? Solve it here on @hdx
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RT @hacid_project: Hopefully, the HACID tool will fare better than Reddit’s AskDocs 😬(! #chatgpt #diagnostics #part….
jamanetwork.com
This cross-sectional study evaluates the ability of an artificial intelligence chatbot to provide quality and empathetic responses to patient questions.
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RT @hacid_project: Want to help research in #CollectiveIntelligence in medical diagnosis?. Did you face an intriguing medical case?. HACID….
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RT @hacid_project: 5/ We test our approach on data from a medical #crowdsourcing platform: Human Dx @hdx. Here, raters observe medical cas….
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RT @RosenelliEM: I love this breakdown of the approach to weakness by @sargsyanz #HumanDxPearls @hdx 1/2
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RT @hacid_project: 10/ Check the project presentation video to know more about the proposed approach. Kudos to all project partners intense….
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