A South Sudan doctor on the AI health equity gap
My LinkedIn feed has been flooded with discussion about a recent Nature Medicine study showing that general-purpose large language models outperform specialized clinical AI tools on medical benchmarks. Clinical informatics leaders are calling it a wake-up call for health care, pointing to a timeless truth: Technology rarely fails at the technical layer. It fails because we don’t map how the work actually happens on the ground.
As a clinician working in …
A South Sudan doctor on the AI health equity gap

















