Fabiano Filho MD
@fabianonbfilhoMD | PhD student @fsp_usp @USPonline | Medical AI and Innovation @NeomedTech | ML4H LABDAPS | Family Medicine Physician
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I had the privilege of meeting @matvelloso at @googlebrasil, where we discussed the challenges of Medical AI in Brazil with @NeomedTech Thank you, Mat, for the opportunity.
Foi publicada minha TEDx sobre a importância do Brasil para o futuro da IA. Eu acredito que será necessário garantir o aprendizado dos algoritmos com dados de todos os tipos de pacientes, e não existe um melhor país para isso do que o Brasil. No YouTube: m.youtube.com/watch?v=G7vwvm…
Central challenge for AI in medicine:“A Call for Artificial Intelligence Implementation Science Centers to Evaluate Clinical Effectiveness”@NEJM_AI #moreThanConformanceTesting ai.nejm.org/doi/full/10.10…
Exciting AI Faculty Cluster Hire @StanfordMed! Multiple positions open for biomedical AI & data science experts of all ranks across multiple departments. Application review begins on Sept 23. Join our vibrant AI community! More info ➡️ stanford.io/3WinOmj
Introducing a new artificial intelligence-enabled Perspective series that summarizes and extracts insights from the 𝘕𝘌𝘑𝘔 𝘈𝘐 Grand Rounds podcast episodes. Read the full editorial by Drs. @arjunmanrai and @AndrewLBeam: nejm.ai/45HhFmG
“Health systems must ensure that AI tools are thoroughly evaluated for trustworthiness.” 💡Insights in @NEJM_AI from @AshleyBeecyMD @CALonghurst @kdpsinghlab @Bob_Wachter @SaraMurrayMD ➡️ai.nejm.org/doi/full/10.10…
How can we determine if an LLM is safe for use in a medical setting? Presently, we know very little about how safe LLMs are in a medical setting, or how to check and improve their safety. To answer this question, Han et al. have established a definition for medical safety in…
In the latest review in the AI in Medicine series, the authors explore how human values influence the outputs of large language models and other artificial intelligence models. Read the full review: nej.md/4aNpf04
Perspective: “Patient Portal — When Patients Take AI into Their Own Hands” by @goldbergcarey: nejm.ai/3xKovuO #AIinMedicine
No nosso último Journal Club, discutimos uma revisão sistemática publicada na Lancet Digital Health que avaliou a aceitação do uso de algoritmos de IA por parte de médicos e pacientes. A apresentação foi feita pelo doutorando do lab @fabianonbfilho youtube.com/watch?v=uaH9l8…
I'm thrilled and honored to be one of the winners at the V Hackathon hosted by @Harvard T.H. Chan in collaboration with Inova HC @inovahcfmusp What an incredible experience! I would like to thank all my Labdaps colleagues and our mentor @SaudenoBR @fsp_usp for the support.
Starting now - Ethics and AI with @culehmann Come join us for a great discussion! https://t.co/5oXQWaWfUO #HCILS @HarvardDBMI @BostonChildrens @MGBInnovation @dcihmfp
"Machine learning to improve healthcare decisions will be amazing in rich countries, but it can have many times more impact in disadvantaged areas." Machine learning experts are "finally popular," said @SaudenoBR, exploring how burdens could be eased for thinly-spread physicians
Interested in graduating as a healthcare data scientist? Here are the top 10 universities with a master's program in healthcare data sciences 🧑🎓 1️⃣ Harvard TH Chan School of Public Health (hsph.harvard.edu/health-data-sc…) 2️⃣ UC San Francisco Department of Epidemiology and Biostatistics…
We have an opening for a postdoctoral fellow in the lab of Dr. Alexandre Chiavegatto (@SaudenoBR ), join us in the AI revolution in healthcare!
Alunos de doutorado em ciência de dados e IA podem escolher entre seguir na área acadêmica e ajudar a moldar a maior revolução tecnológica da história do Brasil, ou ganhar 10 mil a mais numa empresa. As inscrições para pós-doc com bolsa no Labdaps estão abertas até sexta!
Awesome kick-off for our summer course on Machine Learning for Health Predictions at @fsp_usp! Thrilled to have 80 students from 17 states here in person. Get ready for an intense and productive week ahead!
Hoje tivemos a primeira aula do nosso curso de verão Machine Learning para Predições em Saúde. Este ano são 80 alunos que vieram de 17 Estados diferentes para fazer o curso presencialmente na @fsp_usp Teremos uma semana intensa e produtiva pela frente!
Very few prediction models used in #clinical practice: Why? With increasing availability of data, pressures to publish, and a surge in interest in approaches based on #ai prediction models are being developed at high volume Read more: doi.org/10.1136/bmj-20…
1/n: We're excited to share a new policy on the responsible use of LLMs in drafting manuscripts for @NEJM_AI 🔗: ai.nejm.org/doi/full/10.10… We believe strongly that LLMs provide a net benefit to science writing, so we encourage their use. Rationale and caveats for this policy 👇
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