
Okyaz Eminaga, MD/PhD
@okyazeminaga
AI Scientist | Physician-Scientist, Urologist, Digital Pathology, Oncology, Multimodal modeling, LLM, generative medical AI, Computer Vision, Edge AI
ID: 595600093
http://www.aivobis.com 31-05-2012 15:58:42
25 Tweet
175 Followers
1,1K Following


Read my latest #research on spread patterns of prostate cancer, published with Springer Nature in World Journal of Urology rdcu.be/b5g0l




🎉Introducing RoentGen, a generative vision-language foundation model based on #StableDiffusion, fine-tuned on a large chest x-ray and radiology report dataset, and controllable through text prompts! Pierre Chambon Akshay Chaudhari Curt Langlotz 🧵#Radiology #AI #StanfordAIMI


An efficient framework for video documentation of bladder lesions for cystoscopy: a proof-of-concept study. #BeyondTheAbstract on UroToday > bit.ly/3PeQE1x Okyaz Eminaga, MD/PhD Eugene Shkolyar Joseph Liao, MD



👀 Check out what’s popular this week in #JCOCCI: Efficient Augmented Intelligence Framework for Bladder Lesion Detection 👉 brnw.ch/21wDi2V Okyaz Eminaga, MD/PhD #AI #HealthAI


Read my latest #research on Critical evaluation of artificial intelligence as a digital twin of pathologists for prostate cancer pathology (rdcu.be/dAjDz), published with Springer Nature in Scientific Reports

Now out! Read our latest #research #ArtificialIntelligence on Artificial intelligence unravels interpretable malignancy grades of #ProstateCancer on histology images (rdcu.be/dAwY9), published with Springer Nature npj Journals OncoAlert Thanks to CHUM Sami Leyh-Bannurah

Critical evaluation of #ArtificialIntelligence as a digital twin of pathologists for #ProstateCancer pathology. #BeyondTheAbstract Okyaz Eminaga, MD/PhD AI VOBIS provides an insights review into the potential of #AI on UroToday > bit.ly/3ITUmeG Scientific Reports



