Hipócrates 3.0 é um podcast bilíngue (português/inglês) criado pelo Dr. Thiago Florencio, biomédico e médico, formado pela UFPB, com atuação na Medicina de Família e Comunidade e entusiasta da IA. O programa tem como objetivo agregar na formação de médicos e estudantes brasileiros, explorando o impacto e o uso da IA na prática médica, promovendo a educação médica continuada e fortalecendo o aprendizado da língua inglesa para contextos clínicos e acadêmicos. O Podcast é apresentado pelo próprio Dr. Thiago Florencio e eventualmente por especialistas fictícios criados por IA.
Hipócrates 3.0 - Inteligência Artificial para Médicos
Claim This Podcastby Thiago Florencio, MD
3 episodes
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Podcast Overview
Hipócrates 3.0 é um podcast bilíngue (português/inglês) criado pelo Dr. Thiago Florencio, biomédico e médico, formado pela UFPB, com atuação na Medicina de Família e Comunidade e entusiasta da IA. O programa tem como objetivo agregar na formação de médicos e estudantes brasileiros, explorando o impacto e o uso da IA na prática médica, promovendo a educação médica continuada e fortalecendo o aprendizado da língua inglesa para contextos clínicos e acadêmicos. O Podcast é apresentado pelo próprio Dr. Thiago Florencio e eventualmente por especialistas fictícios criados por IA.
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Publishing Since
9/28/2023
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Recent Episodes
November 7, 2024
GPT-4 Outperforms Residents in Emergency Diagnoses: The Future of AI in Medicine
<p>Welcome to <strong>Hipócrates 3.0</strong><strong>!</strong> In this episode, we explore an innovative study published this year in the Journal of Medical Internet Research (IF 7.4) that puts artificial intelligence, specifically ChatGPT’s GPT-4, head-to-head with resident physicians in diagnosing medical emergencies. Developed by OpenAI, GPT-4 has proven to be a promising tool, surpassing both its predecessor, GPT-3.5, and resident physicians in diagnostic accuracy for internal medicine cases.</p> <p>We discuss the study’s surprising results, its implications for the future of medicine, and how AI can be an essential ally in clinical practice. And for those of you striving to pass Step 1, we’ve included a message of encouragement and a shout-out to the amazing USMLE Privateers group for their unwavering support. Press play and join us as we dive into the impact of AI in healthcare!</p> <p> </p> <p>John Michael Hoppe, et al. ChatGPT with GPT-4 Outperforms Emergency Department Physicians in Diagnostic Accuracy: Retrospective Analysis. <strong>Journal of Medical Internet Research</strong>, vol. 26, 8 July 2024, pp. e56110–e56110, https://doi.org/10.2196/56110. </p> <p> </p>
October 3, 2023
Demystifying Artificial Intelligence for Doctors: Why All Doctors and Med Students Need to Master AI now?
<p> Have you ever read scientific articles with titles like '<strong>Differential diagnosis of secondary hypertension based on deep learning</strong>' and wondered what this has to do with medicine? It seems like a combination of medical terms you know well, mixed with words like 'Machine Learning' and 'Artificial Neural Network.' But let me clarify: this title is real. It comes from a 2023 article published in the scientific journal 'Artificial Intelligence in Medicine.' Artificial intelligence is not a distant concept; it's a reality that is already part of serious medical research. If you've learned how to perform sutures and solve complex diagnoses, then understanding AI and concepts like Machine Learning is just another challenge you are fully capable of meeting. In the next episode of Hippocrates 3.0, we will decode these terms and show how they are revolutionizing the medical field. And the best part: it's straightforward. Follow us on Spotify or your favorite podcast platform and find out how these technologies are much closer to your daily medical practice than you might think. Prepare for an episode that will open your eyes to the future of medicine that is already here.</p> <p><br></p> <p><a href="https://pubmed.ncbi.nlm.nih.gov/37673580/" target="_blank" rel="noopener noreferer"><strong>1) A systematic literature review of machine learning based risk prediction models for diabetic retinopathy progression:</strong></a></p> <p>https://pubmed.ncbi.nlm.nih.gov/37673580/</p> <p><br></p> <p><a href="https://pubmed.ncbi.nlm.nih.gov/37295898/" target="_blank" rel="noopener noreferer"><strong>2)</strong> <strong>Differential diagnosis of secondary hypertension based on deep learning</strong></a></p> <p>https://pubmed.ncbi.nlm.nih.gov/37295898/</p> <p><br></p> <p><a href="https://pubmed.ncbi.nlm.nih.gov/37100507/" target="_blank" rel="noopener noreferer"><strong>3) Gynecological cancer prognosis using machine learning techniques: A systematic review of the last three decades (1990-2022)</strong></a> https://pubmed.ncbi.nlm.nih.gov/37100507/</p> <p><br></p> <p><strong>Journal: </strong><a href="https://www.sciencedirect.com/journal/artificial-intelligence-in-medicine"><strong>Artificial Intelligence in Medicine</strong></a> https://www.sciencedirect.com/journal/artificial-intelligence-in-medicine </p> <p>Follow me on instagram: <a href="https://instagram.com/drthiagoflorencio.ia?igshid=NGVhN2U2NjQ0Yg==" target="_blank" rel="noopener noreferer">@drthiagoflorencio.ia</a> </p>
September 28, 2023
(Teaser) Hipócrates 3.0 | Inteligência Artificial - Um podcast Bilíngue para Médicos
Hipócrates 3.0 | Inteligência Artificial - Um podcast Bilíngue para Médicos (Teaser) [EN-PT] Sejam bem-vindos ao nosso podcast! Criado pelo Dr. Thiago Florencio, médico generalista formado pela Universidade Federal da Paraíba, o Hipócrates 3.0 é mais do que um simples podcast. É um espaço bilíngue (português e inglês) dedicado a aprimorar a formação de médicos brasileiros em Inteligência Artificial, educação médica continuada e, claro, no aprendizado do inglês médico. Acredite ou não, as vozes dos nossos apresentadores são incrivelmente sintetizadas por IA! Conheça Dra. Virginia Rodrigues, cardiologista e entusiasta do ensino de inglês médico; Dr. Leo Anderson, cirurgião do aparelho digestivo dos EUA; e Dr. Oliver Bennett, engenheiro de software com doutorado em IA. Em nossos episódios, vamos mergulhar nos avanços da IA na saúde, discutir artigos científicos e trazer dicas práticas para melhorar seu inglês médico. Já imaginou o quanto você pode aprender? Cada episódio é rigorosamente checado pelo Dr. Thiago Florencio para garantir um conteúdo preciso e confiável. Então, que tal embarcar nessa aventura conosco? Ouça agora, compartilhe com seus colegas e siga-nos no Spotify. Para mais informações e conteúdos exclusivos, siga o Dr. Thiago Florencio no Instagram (drthiagoflorencio.ia). __________________________________________ Welcome to our podcast! Created by Dr. Thiago Florencio, a general practitioner from the Federal University of Paraíba, Hipócrates 3.0 is more than just your average podcast. It's a bilingual platform (Portuguese and English) aimed at elevating the education of Brazilian doctors in Artificial Intelligence, ongoing medical education, and, of course, medical English. Believe it or not, our hosts' voices are incredibly synthesized by AI! Meet Dr. Virginia Rodrigues, a cardiologist passionate about teaching medical English; Dr. Leonard Anderson, a U.S.-based gastrointestinal surgeon; and Dr. Oliver Bennett, a software engineer with a Ph.D. in AI. In our episodes, we'll explore the latest advancements in AI in healthcare, dissect scientific papers, and offer practical tips to enhance your medical English. Can you believe how much you'll learn with us? Each episode is rigorously vetted by Dr. Thiago Florencio to ensure accurate and trustworthy content. So, are you ready to join us on this adventure? Listen now, share with your friends, and follow us on Spotify. For more exclusive content and updates, follow Dr. Thiago Florencio on Instagram (@drthiagoflorencio.ia).
3 total episodes available
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- What is Hipócrates 3.0 - Inteligência Artificial para Médicos?
- How often does this podcast release new episodes?
This podcast updates weekly.
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This podcast is available on 4 platforms including Apple Podcasts, Spotify, and more. You can also use the RSS feed directly.
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No, this podcast does not typically feature guests.
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