The Potential and Pitfalls of AI in Healthcare

The use of large language models (LLMs) in healthcare has the potential to revolutionize the industry, but there are concerns about ceding control to big tech companies. While technology companies have the resources and processing power, healthcare systems hold vast repositories of clinical data. To ensure the accountability and transparency of medical research and care, a transparent and inclusive approach is needed. Health-care institutions, academic researchers, clinicians, patients, and technology companies should collaborate to build open-source LLMs for healthcare. By pooling their resources and expertise, these organizations can develop transparently evaluated models that meet local institutional needs and incorporate privately held data. This approach would enhance medicine rather than undermine it, ensuring patient privacy and safety.
- Generative AI could revolutionize health care — but not if control is ceded to big tech Nature.com
- The Five Things That Worry Lawmakers Most About AI in Healthcare Medpage Today
- How Artificial Intelligence Could Transform Health Care | UC San Francisco UC San Francisco
- AMA: Some AI Use in Medicine Should Require Docs' Consent Medscape
- Despite congressional concerns, AI use rises in the health care industry The Hill
Reading Insights
0
2
12 min
vs 13 min read
95%
2,435 → 116 words
Want the full story? Read the original article
Read on Nature.com