"... reimbursement of AI technologies needs to be incumbent on improved patient outcomes, not just improved technical performance in artificial settings." jamanetwork.com/journals/jama-…

You can’t miss it! Our first public Kaggle competition. Thanks Felipe Kitamura and Eduardo Farina for hosting it! Join us on this challenge! #ai

Check out the new #dataset from Stanford AIMI! It is great seeing amazing institutions sharing their datasets! ddi-dataset.github.io #RadAI #Radiology #Dermatology

You still have the chance to join our X-ray Body Part Classifier Competition at Kaggle ! kaggle.com/competitions/u… Felipe Kitamura UNIFESP Radiology

Congrats to Augusto (PGY2 radiology resident) , who won a silver medal in the UW Madison GI tract segmentation competiton on Kaggle UW–Madison

It is time to celebrate! Felipe Kitamura and Eduardo Farina won the the Kaggle Community Competition Creator Prize. Thanks to everyone who joined the competition, and all the annotations. kaggle.com/discussions/ge…

Check out the new Editorial by our great Felipe Kitamura at Radiology! ChatGPT Is Shaping the Future of Medical Writing but Still Requires Human Judgment pubs.rsna.org/doi/10.1148/ra…

Edital para Residência Médica 2024 da EPM/Unifesp divulgado! 📅 Inscrição de 29/09, às 7h30, até 30/10/2023, às 19h59 💻 As inscrições devem ser feitas exclusivamente pelo site da Coreme. 📜 Edital em coreme.unifesp.br ℹ️ Dúvidas ou informações: [email protected]

This article provides a foundational understanding of the inner workings of a transformer model for radiologists. Understanding how these models work can help radiologists build trust in them instead of considering them as incomprehensible black boxes. pubs.rsna.org/doi/10.1148/ra…

This article provides a foundational understanding of the inner workings of a transformer model for radiologists. Understanding how these models work can help radiologists build trust in them instead of considering them as incomprehensible black boxes. pubs.rsna.org/doi/10.1148/ra…

Adham do Amaral e Castro, radiology residency supervisor at DDI UNIFESP, presented a multi institutional collaboration at #ISS2025 on Hip Capsular Thickness as a biomarker.

Our residents and Chair of Radiology published a book chapter on radiology. Rodrigo Regacini Nicole Dittrich, MD, PhD

⁦Unifesp⁩ #msk at #iss2025

📍Best Practices for the Safe Use of Large Language Models and Other Generative #AI in #Radiology🚨👇 Paul Yi jjeudymd Woojin Kim Felipe Kitamura Andrew Smith Linda Moy Vishwa Parekh Rad In Training Editor #RadInTraining #Tweetorial 🧵 @Radiology_RSNA @RadiologyEditor

📢BREAKING NEWS--in #ImagingInformatics Education! Four leading medical imaging organizations-AAPM, ACR, RSNA, and SIIM-united to launch a groundbreaking AI educational framework for radiology pros led by the SIIM Machine Learning Education Subcommittee. #MedicalImaging #AI

🎯 Right on target! ➡️ Teaching #AI for #Radiology Applications: A Multisociety-recommended Syllabus from American Association of Physicists in Medicine American College of Radiology RSNA and SIIM ⬅️ published in Radiology: Artificial Intelligence: pubs.rsna.org/doi/10.1148/ry…

Terrific collaboration of American Association of Physicists in Medicine American College of Radiology RSNA SIIM! 🌟Read the full article (free access): doi.org/10.1148/ryai.2… #AI #education #radiology #RadRes

According to a study conducted by Stanford University and Elsevier , in 2024, Unifesp had 30 researchers in the list of the 2% most influential scientists. We are thrilled to have our department represented by Felipe Kitamura. elsevier.digitalcommonsdata.com/datasets/btchx…