user avatar
Chris Lovejoy, MD
@ChrisLovejoy_
Member of Technical Staff @anthropicAI Prev: medical doctor, ML engineer, founder
NYC/LON
Joined September 2009
  • Pinned
    user avatar
    My hot take: The vertical AI products that will win are not the ones with the most sophisticated models or techniques - but those with the best system for incorporating domain expertise. The LLMs in the product need to understand the industry-specific and customer-specific way
  • user avatar
    "What We've Learned From A Year of Building with LLMs" is best article I've read to-date on building LLM-powered products Great work @eugeneyan @BEBischof @charles_irl @sh_reya @jxnlco @HamelHusain Resonates with my experiences at @CoHelmAI and elsewhere. My top takeaways:
  • user avatar
    I'm thinking about writing a short eBook for people from medical backgrounds wanting to get into machine learning or data science. If this sounds like you, what questions would you want answered?
  • user avatar
    Building a dashboard for domain experts to review AI outputs is critical for domain-specific LLM apps. Principles we followed at @AnteriorAI when building ours: (1) Optimise for providing all relevant context as intuitively as possible Our doctors and nurses say the hardest
  • user avatar
    AI and Machine Learning is hard. But it’s the future of Medicine. You can learn it and scale your positive health impact. Here’s how: (1/5)
  • user avatar
    Applying AI to medicine is hot right now. But how can we do it right? Two landmark papers were recently published, to tell us how:
  • user avatar
    Making an LLM product MVP is easy -- building a product that works at scale is hard. Last week for the @aiDotEngineer conference I shared our journey at @AnteriorAI from prototype to production, now serving health insurers covering >50M Americans. Our special sauce? Real-time
  • user avatar
    I’m looking for “user-friendly”, open-access medical datasets. I am designing a series of “Coding for Medicine” tutorials. Aimed at medics learning to code + computer scientists interested in healthcare. Ideally, data is pretty clean and easy to access. Any suggestions?
  • user avatar
    Turns out I've hit 1,000 subscribers on my YouTube channel (I make videos about machine learning, coding and healthcare) That's lot of people, although still small by YT standards (Gotta start somewhere) Do you have any questions you'd like me to answer in my 1000 subs video?
  • user avatar
    I built an MCP server for trusted medical advice You can ask it medical questions on any topic It anchors its answers in up-to-date medical information, only from reputable sources It's fully open-source, self-hosted, and doesn't rely on third-party APIs (Important caveat:
    00:00
  • user avatar
    I'm thinking about doing short blog series / email course on 'how to read a medical AI paper'. Initial idea is to cover: - deciding papers to read - a process for extracting key info - dealing with new terminology - combining insights across diff papers Would you be interested?
  • user avatar
    Our latest study in the BMJ shows that research comparing #AI to doctors often have over-stated conclusions, and use methodologies with high risk of bias. @bmj_latest
    Many studies claiming that artificial intelligence is as good as (or better than) human experts at interpreting medical images are of poor quality and are arguably exaggerated, warn researchers @MyuraNagendran et al ow.ly/asaX50yVzSA
  • user avatar
    Super excited to come out of stealth as part of this team! Watch this space- and if you want to be a part of it: co-helm.com/p/careers
  • user avatar
    Thinking about making a medical MCP server Initial ideas: - medical codes: receives a medical condition name, returns the most relevant code (ICD10, SNOMED-CT) - medical guidelines: receives a medical condition name, returns the treatment protocol - medical research finder: