The numbers are startling, and they demand attention. An estimated 795,000 Americans die or become permanently disabled each year because of diagnostic errors, according to a 2023 Johns Hopkins University study. In the United Kingdom, diagnostic errors affect at least 10 to 15 per cent of patients, with heart attack misdiagnosis rates reaching nearly 30 per cent in initial assessments. These are not abstract statistics. They represent people who trusted their doctors, sought help, and received the wrong answer at a critical moment. Into this landscape of fallibility comes a promise wrapped in silicon and algorithms: artificial intelligence that can diagnose diseases faster, more accurately, and more consistently than human physicians. The question is no longer whether AI can perform this feat. Mounting evidence suggests it already can.…