# Medical Specialty AI Readiness (MSAIR) framework

Whether a medical specialty is ready for AI depends more on which clinical tasks it contains than on its name. A framework scored 330 clinical tasks, 15 for each of 22 specialties drawn from the American Board of Medical Specialties list, on six dimensions: codifiability, data-structure dependence, transferability of decision authority, physical dependence, clinical governability and specialty centrality, each on a three-point scale, then aggregated them into a Medical Specialty AI Readiness (MSAIR) score. Task category explained 71.6% of adjusted R² versus 6.4% for specialty; documentation scored highest on average (2.874) and emergency decision making lowest (1.639), while specialty means spanned only 2.010 to 2.543.

Whether a medical specialty is ready for AI depends more on which clinical tasks it contains than on its name. A framework scored 330 clinical tasks, 15 for each of 22 specialties drawn from the American Board of Medical Specialties list, on six dimensions: codifiability, data-structure dependence, transferability of decision authority, physical dependence, clinical governability and specialty centrality, each on a three-point scale, then aggregated them into a Medical Specialty AI Readiness (MSAIR) score. Task category explained 71.6% of adjusted R² versus 6.4% for specialty; documentation scored highest on average (2.874) and emergency decision making lowest (1.639), while specialty means spanned only 2.010 to 2.543.