Can we trust the new medical AI?
Although AI promises to revolutionize healthcare, the lack of transparency in medical algorithms poses a risk to patients. Real-life testing and independent supervision are urgently needed.
Kayla Secrest, a newly graduated doctor, had a frustrating experience with AI at a Michigan hospital, where an algorithm was implemented to detect sepsis. However, the alerts became too frequent, and she and her colleagues lost trust in the tool. Experts say there is a gap between AI developers and medical professionals, with often little independent oversight of AI tools in healthcare.
The effectiveness of AI in improving patient outcomes is not well evidenced, despite claims that it can alleviate administrative burdens on doctors. Some studies have shown positive results, such as a reduction in diagnostic errors and administrative tasks, but more rigorous testing is needed.
Written by urgent.news from Expansion ES's report — not a translation of it. Machine-written — may contain errors; check the original before relying on it.
