A new clinical trial suggests AI can improve the precision of oxygen delivery for hospitalized patients by keeping patients within prescribed oxygen ranges more consistently than standard clinician-managed therapy. The automated system achieved 85% time-in-range during monitoring versus 63% for standard clinician-managed oxygen, according to the reported trial results under CU Anschutz. For clinicians, the data point to more consistent titration in a common inpatient setting where small oxygen deviations can affect outcomes. The result reinforces a broader push toward closed-loop or decision-support systems in clinical workflows, focusing on measurable physiologic time-in-range metrics rather than only prescribing-level endpoints.