Large language models rely on complex technology, but a plain English tutorial makes it clear that they use math, not magic to render their impressive results.
Generative AI: Pulling Back the Curtain, Part 2
“Filter Bubbles”: The Quest to Prevent Algorithms from Running Amok
It’s not just social media sites that reinforce users’ prejudices and belief systems by feeding them stories catering to their viewpoints; healthcare algorithms can also create “echo chambers,” according to Mayo Clinic Platform researchers, who examine the issue in this piece. Fortunately, there are alternatives.
Addressing “Shortcomings”: How AI Can Help Predict the Onset of Sepsis
In recent years, artificial intelligence has been making significant inroads in sepsis management. And although these digital tools certainly have their flaws, they’re moving the industry in the right direction, according to John Halamka, MD, and Paul Cerrato of Mayo Clinic Platform.
Is the Future of AI in Good Hands?
Technologists who worry that the latest AI systems can potentially “outsmart their makers and enslave humanity” are ignoring the more realistic concerns that challenge the healthcare community, according to Mayo Clinic Platform researchers Paul Cerrato and John Halamka, MD.
“A Profound Impact”: How NLP Fits into the Digital Health Ecosystem
Once used primarily to interpret human communications, natural language processing algorithms now “serve as the backbone for translation and clinical transcription services,” according to John Halamka, MD, and Paul Cerrato of Mayo Clinic Platform, and look to play an even bigger role in the future.
“A Step in the Right Direction”: How Prompt Engineering Can Improve GenAI
One way to improve the “widely contrasting results” often garnered by ChatGPT is through prompt engineering, according to Mayo Clinic Platform researchers. In this piece, Dr. John Halamka and Paul Cerrato discuss how digital tools can supplement decision-making.
Generative AI Benefits: We’ve Barely Scratched the Surface
The impact that large language models have had both on the medical community and IT developers is undeniable. But are they being trained with the relevant data and the right kind of self-supervision? These are questions that need to be asked, according to Mayo Clinic Platform researchers.
“Data Behind Glass”: Exploring a Federated Model for Data Management
Allowing stakeholders to access data while protecting patient rights remains a significant challenge. But there is a potential solution, according to Mayo Clinic Platform researchers, who describe a “federated approach” in which data are stored in encrypted containers.
“Untapped Power”: The Critical Role Digital Tools Can Play in Addressing Social Determinants
Addressing health inequities is going to require systemic changes in national policies. In the meantime, however, “there are measures that clinicians and technologists can implement that will have an impact,” according to John Halamka, MD, who discusses how Mayo Clinic is working to create AI platforms and algorithms to change outcomes.
Is It Time to Incorporate Large Language Models into EHRs?
When leveraged for their original purpose – to “create a skeleton note for humans to augment and edit, reducing administrative burden – generative AI can help provide more time for patient care and clinical decision making, according to John Halamka, MD, and Paul Cerrato of Mayo Clinic Platform.
