Médico Aumentado

La frase "medice, cūrā tē ipsum" es una frase antigua que se usaba para reprocharle a los doctores el no seguir sus propios consejos en algunas ocasiones, y en otras, el que los doctores se desvivan por ayudar a la gente sin ayudarse primero a sí mismos.

Every mammogram should be supported by 3 different AIs for improved detection of cancer, prevention, and risk of heart disease. At no cost to patients. My new @TheLancet essay reviews the evidence and the lack of implementation thelancet.com/journals/lance…

China just defined what an AI Hospital is! It is a new type of smart healthcare model in which AI is embedded into the system itself, linking offline medical expertise with the broader reach of online services to deliver more proactive and continuous care. What does it mean? Patients become the point-of-care with the help of AI: "𝐼𝑛 𝑡ℎ𝑒 𝑝𝑎𝑠𝑡, 𝑝𝑎𝑡𝑖𝑒𝑛𝑡𝑠 𝑤ℎ𝑜 𝑤𝑎𝑛𝑡𝑒𝑑 𝑎𝑐𝑐𝑒𝑠𝑠 𝑡𝑜 𝑡ℎ𝑒 𝑤𝑜𝑟𝑙𝑑'𝑠 𝑙𝑎𝑡𝑒𝑠𝑡 𝑠𝑝𝑒𝑐𝑖𝑎𝑙𝑙𝑦 𝑙𝑖𝑐𝑒𝑛𝑠𝑒𝑑 𝑑𝑟𝑢𝑔𝑠 𝑎𝑛𝑑 𝑚𝑒𝑑𝑖𝑐𝑎𝑙 𝑑𝑒𝑣𝑖𝑐𝑒𝑠 𝑚𝑖𝑔ℎ𝑡 ℎ𝑎𝑣𝑒 ℎ𝑎𝑑 𝑡𝑜 𝑣𝑖𝑠𝑖𝑡 𝑚𝑢𝑙𝑡𝑖𝑝𝑙𝑒 ℎ𝑜𝑠𝑝𝑖𝑡𝑎𝑙𝑠 𝑎𝑛𝑑 𝑤𝑎𝑖𝑡 𝑓𝑜𝑟 𝑚𝑜𝑛𝑡ℎ𝑠. 𝑁𝑜𝑤, 𝐴𝐼 ℎ𝑒𝑙𝑝𝑠 𝑓𝑖𝑛𝑑 𝑡ℎ𝑒𝑚, 𝑚𝑎𝑡𝑐ℎ 𝑡ℎ𝑒𝑚 𝑎𝑛𝑑 𝑡𝑟𝑎𝑐𝑘 𝑡ℎ𝑒𝑚," ℎ𝑒 𝑡𝑜𝑙𝑑 𝑡ℎ𝑒 𝐺𝑙𝑜𝑏𝑎𝑙 𝑇𝑖𝑚𝑒𝑠.  These days, I share an interesting announcement from China almost every week. Here is an example of the process: "A patient uploads medical records and symptoms on a phone, and AI provides initial triage and risk alerts. By the time the patient arrives, the doctor already has a structured case summary. After treatment, the system continues with follow-up reminders and medication alerts, turning fragmented care into a more connected process." Source: globaltimes.cn/page/202604/13…

@silvercorp Completamente de acuerdo. Los especialistas de cada área deben ser los primeros que adopten la inteligencia artificial para potenciar sus flujos no críticos, pero deben supervisarla y aumentar su inteligencia con ella.

Tengo claro que hay sectores donde un error que viene de la IA puede costarle la vida o la esperanza a alguien, y en esos casos, siempre voy a preferir que los humanos sigan al frente.

Our existing $200 Pro tier still remains our highest usage option. And as a thank you to our existing Pro users on the $200 tier, we’re extending our 2x Codex usage promo (until May 31st) and we’ve reset your Codex rate limits (yes, again).

Quien hizo @vibetyper tiene mi más sincera felicitación por hacer que pueda tener una experiencia igual o mejor a Wispr Flow desde Linux. ¡Me encanta!

SpaceXAI Colossus 2 now has 7 models in training: - Imagine V2 - 2 variants of 1T - 2 variants of 1.5T - 6T - 10T Some catching up to do.

Alzheimer’s is one of medicine's hardest unsolved problems, and one of the most devastating. At the OpenAI Foundation, we believe AI is well suited to its complexity. We're directing over $100M to scientists mapping the disease, designing drugs, & more. I wrote about it here: openaifoundation.org/news/ai-for-al…

1 in 11 babies born in America this year will be screened by a genetic test that didn't exist a decade ago. Biotech startup @BillionToOneInc turned a simple but radical idea—detecting rare fragments of fetal DNA in a mother's blood—into one of the most widely used prenatal tests in the U.S. And they're not stopping there. The same approach could unlock something even bigger: early-stage cancer detection from a blood test, a breakthrough that could one day save millions of lives. In this episode of Hard Tech, YC's Jared Friedman sits down with founders David Tsao (@dtsao) and Oguzhan Atay (@oatay) to hear how they went from half a lab bench to a $4B biotech company, and why they believe this is just the beginning of what their technology can do. 00:00 – Finding One Mutation in Billions 01:00 – Detecting Disease From a Blood Sample 02:10 – From Lab Idea to $4B Company 03:05 – The Breakthrough That Made It Possible 05:15 – Building the First Test From Scratch 07:30 – One Customer and a Sales Crisis 08:55 – Inside the Lab: How It Actually Works 12:10 – Detecting Cancer From Blood 13:50 – The Path to Early Cancer Detection 16:05 – Why Early Cancer Detection Is So Hard

Lo que nadie te dice de México y la IA: → 3er lugar mundial en graduados de TIC (32,738), solo detrás de EE.UU. y Brasil → Más graduados tech que Alemania, UK, Corea del Sur y Canadá → 75% de mexicanos entusiasmados con la IA (vs ~30% en Japón, ~40% en Alemania) → Creciente convicción de que la IA transformará nuestra vida en 3-5 años Fuente: AI Index Report 2025 de Stanford HAI. El 13 de abril se publica el AI Index 2026. México tiene con qué competir, ya veremos cuáles son los resultados🇲🇽

Ya no solo debemos considerar, al desarrollar herramientas, la Experiencia de Usuario (UX) y la Experiencia del Desarrollador (DX). Ahora, también me noto a mí mismo considerando la facilidad de uso de mis productos por agentes de IA: Agent Experience (AX)

Un robot ya está extrayendo sangre en hospitales: usa ultrasonido e IA para encontrar la vena con gran precisión, insertar la aguja y completar todo el proceso sin manos humanas; incluso en personas con venas difíciles, logra resultados consistentes.

@silvercorp Workspace para médicos con inteligencia artificial: Permite valorar al paciente, transcripción ambiental, generación de documentos, chatbot integrado con el contexto del paciente y agenda. expedienteastrocyte.com 🩺🥼

¿y si nos ayudamos entre todos? Si tienes un proyecto creado con o sin ayuda de #IA, SaaS, emprendimiento o lo que quieras compartir déjalo aquí en comentarios para llegar a más personas 😃

First fully autonomous clinical encounter in the end of 2023, to 3 million autonomous clinical conversations with patients in 2.5 years. The co-pilot to autopilot transition is underway in specialty care, and we're thrilled to deepen our partnership with Insight Health with the smart folks at @Standard_Cap. @daltonc @paultoo @berg

Should we limit clinical trial data to only the clinic visits? This paper introduces sensor-based digital health tools that capture how patients actually live. From glucose monitors to activity trackers, sensors are becoming core tools in clinical trials, capturing physiological and behavioral data beyond traditional endpoints. nature.com/articles/s4174…

A new approach to clinical decision support—built on AI. Right insight. Right moment. Inside the conversation. Hear from the builders behind it.

Anthropic making its own splash with an acquisition today $400M for Coefficient Bio, started last fall, developing an AI drug R&D platform

Absolutely agree: the future of healthcare AI is on-device intelligence. Small embedded LLMs are getting good enough to bring real medical reasoning directly to the edge — faster, cheaper, more private, and far more scalable. My lab at @UHN has been pushing in this direction too. We recently fine-tuned Qwen3.5 27B, 9B, and 2B on a healthcare benchmark, and found that on-device LLMs can match frontier models on medical diagnosis. That future may arrive sooner than most people think. See more: x.com/BoWang87/statu…

Para eso querían Astro!

Every health system on Epic is facing the same question: trust Epic’s Patient AI or go 3rd Party? Sutter and Hartford just chose opposite answers. My 4 thoughts: The news this week: → Sutter Health was the 1st health system to go-live with Epic's Patient AI ("Emmie") embedded in MyChart. Emmie has full access to the patient's record and can help explain test results, book appointments, make payments, etc. via chat. → Hartford Healthcare and K Health announced PatientGPT - a custom Patient AI launchable from MyChart with similar access to the patient's record to help answer questions about test results, but can handle more clinical queries. → Some differences: Emmie is focused more on extending core portal functionality - easier access to test results, payments, scheduling. The Hartford/K Health approach is more focused on patient access and care team communications - directly navigating patients to virtual care, identifying potential medication interactions, and suggesting conversation summaries to copy/paste as messages to the care team. My 4 thoughts: 1/ This is a good reminder that Platform vs Best of Breed will always be alive in enterprise healthcare. As much as IT leaders often say "we want to minimize the number of different interfaces a patient may touch," a health system's approach will ultimately depend on their Digital/IT philosophy and the job to be done. Hartford certainly considered Epic's Emmie but decided they wanted a faster path to AI for clinical conversations and virtual care beyond core operations. 2/ One reason this happened at Hartford is that it's an extension of an existing partnership. K Health already powers Hartford's 24/7 virtual care platform - which uses an AI-driven pre-visit medical history - so there's existing trust. PatientGPT is also strategically driving patient access to this virtual care platform, and probably better integrated in ways that matter to Hartford. I suspect K Health also enabled more specific clinical customization than Epic would typically allow in Emmie. 3/ We shouldn't expect this to be an Epic-or-Third-Party decision only long-term. There isn't 100% overlap between approaches. I wouldn't be surprised if Hartford also turns on Emmie for specific needs (e.g. payments) or if Sutter later invests in a more clinical patient AI platform. Even at @SeamlessMD, we see a mix: some health systems use our digital care journey platform for every clinical area (and still integrated with MyChart), others use our content delivered by the native Care Companion in MyChart (helps that we’re Epic’s only approved vendor partner for this). We're agnostic, but even I increasingly expect hybrid approaches over time. 4/ Success will largely be determined by impact on patient access/volumes. Does PatientGPT drive more volume to Hartford's virtual care platform? Does Emmie increase payments resolved and appointments scheduled? Or in both cases, does it just lead to more in-basket messages because it created patient anxiety or confusion? Time will tell.

🇲🇽 México tiene un potencial enorme para implementar IA en la administración pública, pero el reto no es solo “comprar software", los datos muestran que el éxito depende de: • Datos de calidad: Sin datos limpios e interoperables, la IA no sirve. • Talento propio: Si no capacitamos a los funcionarios y apoyamos el talento mexicano que crea IA, seremos simples "tomadores" de tecnología extranjera. ¿El objetivo? Lograr una administración que anticipe las necesidades de la gente antes de que las pidan. México tiene la oportunidad de simplificar y automatizar procesos, apoyemos a las personas líderes en la materia para impulsar la modernización del país. 🚀🇲🇽 De acuerdo con el último informe de la OCDE, este es el marco para una inteligencia confiable en el sector público 👇🏼 #IA #GobiernoDigital #México #OCDE #Tecnología #InnovaciónPública