Automated Planning in Preoperative Software for Shoulder Arthroplasty Decreases Time and Effort in Implant Preparation
By
Pierre Mahe
Sarah Shank
Arthur de Gast
Maud Reynier
February 1, 2026
Clinical Scorecard: Automated Planning in Preoperative Software for Shoulder Arthroplasty Decreases Time and Effort in Implant Preparation
At a Glance
Category Detail
Condition Key Mechanisms Target Population Surgeons performing shoulder arthroplasty, particularly low-volume surgeons and those with varying experience levels. Care Setting
Key Highlights
AP supports glenoid-side implant planning; humeral-side planning remains manual and requires surgeon input. Guideline-Based Recommendations
Diagnosis
Management
Monitoring & Follow-up
Track planning time and user actions to assess the effectiveness of preoperative planning. Monitor surgeon experience levels to optimize the use of planning software. Risks
Patient & Prescribing Data
Patients with primary glenohumeral osteoarthritis undergoing aTSA.
AP can assist in implant selection and positioning, particularly for surgeons with less experience.
Clinical Best Practices
Incorporate automated planning tools to streamline preoperative workflows. Evaluate surgeon experience levels to optimize the use of planning software. Ensure adherence to software recommendations while allowing for surgeon adjustments. Address potential bias in planning decisions when relying on automated suggestions. References
