Authors of an article in NEJM Catalyt look at how artificial intelligence will affect health-care delivery. Among the conclusions:

“{H}umans still will be required to sustain the core doctor-patient relationship, and several universal obstacles could hinder the pace of AI adoption in health care delivery for the foreseeable future. For example, development of AI technology requires access to data sources that accurately and equitably reflect the general patient population. However, medical AI is likely to emerge in high-resource settings, such as academic medical centers, leading to contextual bias when it is deployed in lower-resource settings such as community health centers or rural areas. Additionally, developers must attain physician and staff buy-in regarding using AI in clinical practice. Despite great promise, some digital health tools have faltered at the stage of clinical adoption and diffusion.

“Finally, questions remain about reimbursement, liability, and regulation. In the U.S., the FDA has been establishing regulatory policies and guidelines around software and digital health. The agency has, for example, built a pre-certification program aimed at making sure consumers have access to high-quality digital health products.”

To read the article, please hit this link.