🔥 Looking for automated segmentation of liver histopathology? Don‘t look further.

Hotspot Model got you covered.

Happy to have contributed.

Great work @aleger87.bsky.social and team!

rdcu.be/ew7qh

HOTSPoT paves the way for scalable, explainable, and accessible AI in liver pathology.
Open science, clinical relevance, and technical excellence — all in one model.
Congrats to the entire team!
#DigitalPathology #OpenSource #AIinMedicine

Behind this innovation is a multidisciplinary, international team — but a special shoutout to Giorgio Cazzaniga, who led dataset creation, annotation, model design & implementation. A stellar example of clinician-engineering leadership. 🙌

Clinical validation? Yes. In 35 liver biopsies, HOTSPoT's automated tract count matched human observers (κ = 0.90) and correlated strongly with fibrosis stage (r = 0.87). A true step forward in reproducible pathology. 📈🩺

HOTSPoT isn't just a model — it's a tool. It's released in TorchScript format, integrates with QuPath, and includes a custom WSInfer pipeline for WSI-level inference. ⚙️
Code & model 👉 github.com/Gizmopath/HO...

Trained on 223 cases and tested across 5 international centers, HOTSPoT achieved Dice scores up to 0.92, showing minimal domain shift. That means: robust performance across scanners, stains, and disease contexts. 🌍📊

Liver histology is essential in diagnosing autoimmune and inflammatory diseases — but manual annotation is time-consuming and variable. HOTSPoT tackles this with automated, high-performance segmentation of portal tracts in H&E-stained slides. 🧠🧫

🔥 HOTSPoT sets a new benchmark in liver pathology: open-source, accurate, and externally validated tool for portal tract segmentation. A brilliant team effort led by Giorgio Cazzaniga — whose vision and drive made it possible 👏
rdcu.be/ew7qh #AI #Digitalpathology

Great visit to EKFZ Digital Health Institute! Gave a talk at Jakob Kather’s lab, had great 1:1s with team members, and visited our PhD student Elisa Merelli, who's spending part of her PhD here💡🔬 #DigitalHealth #AI #Research
@jnkt.bsky.social @janclusmann.bsky.social

This article analyzes how nonexperts perceive AI-generated medical advice, finding that it is often rated as accurate as — or better than — doctor responses, raising concerns about overreliance and potential harm from incorrect guidance. Full article: nejm.ai/43xKDG0

#AI #MedSky #MLSky

In the SELECT-GCA phase 3 trial involving patients with giant-cell arteritis, the oral Janus kinase inhibitor upadacitinib (15 mg) significantly improved remission of disease, with less glucocorticoid use. Full trial results: nej.md/3XBdkia

#MedSky

Happy to share our latest paper in @ai.nejm.org, led by Isabella Wiest: "Deidentifying Medical Documents with Local, Privacy-Preserving Large Language Models: The LLM-Anonymizer" ai.nejm.org/doi/full/10....
You can use our open source tool with local LLMs to robustly de-identify medical documents.

Il 18enne italiano è arrivato quarto in Australia, diventando il secondo pilota più giovane di sempre a fare punti dopo Max Verstappen
ilpost.link/Scna5U9zdB