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We are excited to announce PathChat - a vision-language AI assistant for #Pathology that can analyze histology images and answer diverse pathology-related queries. Co-led by our superstars Max Lu Bowen Chen @DFKW_MD Preprint: Demo below,

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Faisal Mahmood

7,021 subscribers

106,612 Aufrufe • vor 2 Jahren •via X (Twitter)

BildungGesundheit & WellnessWissenschaft & Technologie#Pathology
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10 Kommentare

Profilbild von Zhi Huang
Zhi Huangvor 2 Jahren

@MYLu97 @chenbowen118 @DFKW_MD Fantastic work!🚀

Profilbild von Julien Calderaro
Julien Calderarovor 2 Jahren

@MYLu97 @chenbowen118 @DFKW_MD wow congrats! looks amazing will it be possible to try it online??

Profilbild von Abhinav Suri, MPH
Abhinav Suri, MPHvor 2 Jahren

@MYLu97 @chenbowen118 @DFKW_MD great work! I was wondering whether you all had success evaluating LLaVA-Med using the delta weights on their github repo. It seems that the github audience hasn't been able to run their weights locally :/

Profilbild von Rahul G. Krishnan
Rahul G. Krishnanvor 2 Jahren

@MYLu97 @chenbowen118 @DFKW_MD This is very cool!

Profilbild von Henk-Jan van Slooten
Henk-Jan van Slootenvor 2 Jahren

@Aiims1742 @MYLu97 @chenbowen118 @DFKW_MD Really cool stuff! Things are moving fast with pathology and AI 🚀

Profilbild von Emre Kocakavuk, MD, PhD
Emre Kocakavuk, MD, PhDvor 2 Jahren

@MYLu97 @chenbowen118 @DFKW_MD That is so cool!

Profilbild von Dr. Luca
Dr. Lucavor 2 Jahren

@MYLu97 @chenbowen118 @DFKW_MD Very Interesting!!! Much Congrats!

Profilbild von Khalid خالد
Khalid خالدvor 2 Jahren

@MYLu97 @chenbowen118 @DFKW_MD cool cool!

Profilbild von Fahreddin Palaz, MD
Fahreddin Palaz, MDvor 2 Jahren

@MYLu97 @chenbowen118 @DFKW_MD Fantastic news! Congratulations!

Profilbild von Fred
Fredvor 2 Jahren

@MYLu97 @chenbowen118 @DFKW_MD Awesome! 🤩

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⚡️🔬📣 Excited to share our new nature article building and evaluating PathChat, a multimodal generative AI copilot and chatbot for human pathology. Article: Open Access Link: We leverage our previous success in building foundation models for computational pathology such as UNI / CONCH and combine it with the advancements of large vision language models and generative AI to enable PathChat to answer diverse pathology-related queries. We assessed PathChat using both multiple choice diagnostic questions and open-ended questions. Congratulations to Max Lu Bowen Chen @DFKW_MD Richard J. Chen and everyone else who contributed to this work. Also see blog post from Max Lu about this work: , also teasing the development and preview of PathChat 2, a successor to PathChat 1 bringing new capabilities and substantially improved performance to the state-of-the-art.
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