A.I and Medical Imagery - A Much Needed Marriage

Radiology departments are under more pressure than they have ever been. Imaging volumes continue to grow year over year while the radiologist workforce struggles to keep pace, a gap that will widen further through 2030 and is identified as a core driver of diagnostic risk in emergency settings.⁶

Missed fractures on X-rays sit at the intersection of these pressures, a clinical problem that is well-documented, measurably costly, but increasingly addressable.¹ ²

This article examines why missed fractures happen, when they are most likely to occur, and how AI detection tools are beginning to close the gap without displacing the radiologists who remain crucial to the diagnostic process.

The risk of a missed fracture in the emergency department is highest during evening and overnight hours because patients with very subtle fracture patterns are more likely to present later in the day, when healthcare providers may be fatigued and have limited senior review. This is the problem of missed fractures at night in the emergency department in its simplest form.

The purpose of this article is to look at why the pattern of missed fractures at night in the emergency department occurs, using existing clinical studies that suggest that fatigue, low-acuity injuries such as non-displaced or subtle fractures, and staffing patterns contribute to a higher rate of fracture misdiagnosis.

AZmed and Radin Health are expanding their partnership following AZmed’s third FDA 510(k) clearance for AZtrauma. The expanded clearance adds joint effusion and dislocation detection to fracture detection, with AZtrauma and AZchest integrated into Radin Health’s cloud-based RIS/PACS platform.