The Human Diagnosis Project

Join us in building an open intelligence system that helps medical professionals train and care for those in need.

[HACID @hacid_project]

New video from our series explaining hybrid collective intelligence and its implications to real-world application domains! Today, @ciroku_fiorela from @cnr_istc explains how knowledge engineering can support the interaction among human experts and AI!
https://t.co/fOnCRhnsme

[HACID @hacid_project]

We have published the second short video of our series on hybrid collective intelligence. Nikolas Zöller from the Max Planck Institute for Human Development presents how combining human expertise with AI insights can lead to better diagnostic accuracy.
https://t.co/s7jIvJ83jO

[HACID @hacid_project]

We have published a new short video of a series on hybrid collective intelligence. In this video, @vitotrianni from @cnr_istc introduces the field, discussing how human experts and AI systems can join forces to produce better solutions to complex problems.
https://t.co/Sp97jXTpSh

[HACID @hacid_project]

Hurry up!! Only two days to go for the next webinar.
Secure your spot by registering here: https://t.co/z5C8Oy4qLz

[HACID @hacid_project]

🧵Forthcoming webinar:
1/
How can we combine human and machine intelligence to make better medical diagnoses? 🧠🤖
Join @hacid_project and @HumanDx on Nov 12, 17:30 CET for the webinar "Hybrid Human-AI Collective Intelligence in Medical Diagnostics".
🔗 https://t.co/z5C8Oy4YB7

[HACID @hacid_project]

🧵1/ Welcome to HACID Webinar #4!
Join us Monday, September 29, 2025 at 18:00 CEST, for an insightful discussion on "Gender and Diversity aspects in Hybrid Collective Intelligence." `

Register now: https://t.co/ADyEwScWFi

[HACID @hacid_project]

🧵1/8
Our latest study in @PNASNews shows a powerful insight: combining human doctors with #AI (LLMs) leads to more accurate medical diagnoses.
🔗 https://t.co/WVfoayjvv6
#HealthTech #AIinMedicine

[The Human Diagnosis Project @hdx]

🚨 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

https://t.co/kMuAbcRSpr

[HACID @hacid_project]

The paper “Ontology Generation Using Large Language Models” shows how LLMs can support ontology engineering, outperforming novice modellers with the right prompts!
This work is supported by HACID, further contributing to hybrid collective intelligence.
https://t.co/f7i1lh9ltB

[HACID @hacid_project]

Here we go again! The second webinar of the series on hybrid collective intelligence is going to take place soon!

What: Collective Intelligence in the era of LLMs
When: Thursday, April the 24th at 5pm CET
Where: https://t.co/EemsOP5tfZ

More info: https://t.co/yi0yRQtqcE

[The Human Diagnosis Project @hdx]

@tferriss Here’s a better answer that combines input from the 5 top foundation models with human expert opinions: https://t.co/XIF6G9ov2C

[HACID @hacid_project]

We are proud to announce the first webinar of the serie organised by the @hacid_project about hybrid collective intelligence. Make sure to attend it on February 25! https://t.co/4OG4rVNRwY

[HACID @hacid_project]

1/8 🚀📄 New HACID project preprint! https://t.co/5b6dwa6wrr Our study shows that human-AI collectives, combining human expertise with AI, significantly improve diagnostic accuracy. @arc_mpib @nikolaszoe @stefanmherzog @RalfKurvers @vitotrianni @officialberger @hdx

[Matt Shumer @mattshumer_]

Open-sourcing `AI-Oracle`.

Generates better responses than Claude 3 Opus.

A very simple approach that combines the abilities of Claude 3, GPT-4, and Perplexity to provide better results than any could provide on their own.

Seriously -- it's dumb simple.

Notebook in thread:

[The Human Diagnosis Project @hdx]

Help us with our research on #CollectiveIntelligence by solving cases in the HACID pack in the HDx app: https://t.co/T6xK6uMx0O

@mpib_berlin @cnr_istc @metoffice @nesta_uk @hacid_project

[HACID @hacid_project]

The Center for Collective Intelligence @nesta_uk and the @metoffice are collaborating to understand how a hybrid (human + AI) decision-making tool can be used to support climate adaptation decisions.
Check out our blog: https://t.co/mpYkdunzQ0

[HACID @hacid_project]

The first article of the HACID project is out! Hybrid Collective Intelligence for Decision Support in Complex Open-Ended Domains, check it out at https://t.co/ruwvYnHzqn
So, how good is hybrid collective intelligence? 🧵👇🏽

[HACID @hacid_project]

Can you imagine the future of collaborative clinical decision support tools?
Partners @nesta_uk and @hdx are hosting interviews with clinicians to discuss how hybrid #CollectiveIntelligence could reduce diagnostic errors. Sign-up for an interview today: https://t.co/D33zq6czd9

[TM Smith, D.O. FAAEM @RosenelliEM]

Today's GMR on @hdx was a case created by the late @Rafameed 🙏

A 42-year-old male with syncope, https://t.co/gItgzmMC5J

Let's rejoice and have fun solving something he spent his time creating. He loved medicine and learning @rabihmgeha @DxRxEdu

[HACID @hacid_project]

The HACID project was presented at the 3rd conference of @eu_tailor, the 🇪🇺Network of Excellence for Trustworthy #AritificialIntelligence, held in the beautiful setting of the Certosa di Pontignano in Tuscany 🇮🇹
What is Trustworthy #AI, and how HACID contributes to it? 🧵👇🏽