Sully.ai
SullyAI: 10x clinical diagnosis - introducing Consensus
105 followers
SullyAI: 10x clinical diagnosis - introducing Consensus
105 followers
Unlike traditional single-model approaches, our system implements an ensemble of specialized medical "expert" agents, each represented by an individual LLM, mimicking real-world clinical triage and decision-making.
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I was recently a Speaker at a Rheumatology Conference in India, and we had a case that was discussed by a Panel of Rheumatologists. I am non-medical person but ran this case through Sully.ai. With the information available, it was almost there with the with the diagnosis. Very interesting approach. We would be exploring more.
For information, the AI-enablement was done by AcademiAI and am the Co-founder.
@pramodh_bn that's awesome to hear!
Robust adaptability in medical AI systems is essential for patient safety. The ensemble approach could reduce single points of failure. What validation processes are used for the consensus mechanism? @ahmedomar
I had a chance to talk w/ this team a couple of week ago. Super impressive. With a partner in Medicine, this is going to do a world of good if they can continue to improve the diagnosis success rate and improve physician use rates over time. Personally, I'd feel much more comfortable with a doctor who had this tool at their disposal as another voice in the room.
Good luck!
on it Ryan 🫡 @ryan_larson1
This is our lives work!
Congrats on the launch.
This sounds like a smart step forward. Relying on just one model in clinical settings feels risky, so having a system that works more like a team of experts makes a lot of sense. I like that it can balance cost, speed, and accuracy depending on the situation. Curious to see how this performs in real-world medical use.
Really impressed by how SullyAI uses a team of specialized LLM "experts" for clinical diagnosis—feels way more real-world than just relying on a single model, awesome job guys!
Thanks Joey!@joey_zhu_seopage_ai
Replicates real-world medical reasoning, making AI a more qualified partner in clinical decision-making.