The npj Digital Medicine study (observational, not RCT; sample size undisclosed in coverage) shows AI detecting low bone density on routine chest X-rays in over 50% of normal-BMI cases missed by Taiwan's guideline-driven DXA criteria. This highlights a critical flaw in BMI- and age-focused screening that overlooks men, younger adults, and healthy-weight individuals in Asian populations. Unlike hardware-centric reports, this repurposes existing workflows for zero added cost, echoing patterns in opportunistic AI imaging for cardiovascular risk from the same X-rays (e.g., 2023 Lancet Digital Health analysis of 100k+ cases). Original MedicalXpress coverage omits validation details, potential training data biases in Asian cohorts, and generalizability limits beyond Taiwan's NHI system. Synthesizing with a 2024 JAMA Network Open paper on AI equity gaps (n=45,000, observational) and a 2022 Radiology study on chest X-ray bone algorithms (retrospective, n=12,000, industry-funded with COI noted), the work signals scalable prevention but risks overdiagnosis without fracture outcome trials. Conflicts appear low, yet hospital-affiliated authors warrant scrutiny.