Robotic Arthroplasty and Complementary AI Planning: What Robotic Systems Cover, and Where Software Planning Fits

TL;DR

Robotic arthroplasty systems (Mako being the most established) bundle four things: CT-based 3D planning, intraoperative registration, a haptic/robotic execution arm, and bone-cut control. Their strength is closing the loop between plan and execution inside the OR. Their constraints are capital cost, ecosystem lock-in (implants and consumables), and that the planning layer is tied to the robotic platform. Independent AI-based preoperative planning is complementary: it brings fast, validated 3D modelling and measurement to the much larger population of cases done without a robot, and to the planning step itself, without replacing intraoperative robotics.

What a Robotic Arthroplasty System Actually Provides

It helps to separate a robotic platform into its building blocks rather than treating it as one monolithic product. Broadly, a system like Mako combines:

1. CT-based 3D planning — a preoperative model from a CT scan, used to plan implant size, position, and alignment.
2. Intraoperative registration — matching the preoperative plan to the patient's actual anatomy on the table.
3. Robotic/haptic execution — an arm that constrains the instrument to the planned boundaries.
4. Cut/resection control — keeping bone resection within the plan.

The value proposition is the closed loop: the plan is not just a document, it is enforced during execution. That is genuinely powerful for arthroplasty precision, and the clinical literature continues to study its effect on alignment accuracy and outcomes.

The Constraints

The same integration that makes robotic systems powerful also defines their limits:

• Capital and per-case cost. The robot, the CT requirement, and consumables represent a significant institutional investment, concentrating these systems in larger centres.
• Ecosystem coupling. The planning layer is tied to the platform and, typically, to a specific implant ecosystem. You plan within the system's world.
• Coverage. Most orthopaedic procedures, worldwide, are still done without a robot. The planning value should not be available only to centres that can buy the full stack.

None of this is a criticism of robotic surgery, it is a description of where the technology sits. The relevant question for most surgeons is not "robot or not," but "how do I get good 3D planning for the cases in front of me."

Where Independent AI Planning Complements

This is the gap independent, software-only AI planning addresses, alongside robotics rather than against it:

• The non-robotic majority. Fast automated CT segmentation and alignment measurement bring 3D planning to conventional and PSI-based cases that will never see a robotic arm.
• Platform-independent planning. Software planning is not tied to one implant ecosystem or one OR. The surgeon plans, then executes by whatever means their case calls for, conventional instrumentation, patient-specific guides, or a robot.
• Accessibility. Browser-based, client-side planning needs no capital equipment and no image upload, lowering the barrier for independent surgeons and smaller centres.
• Procedures beyond arthroplasty. Osteotomy, deformity correction, and ligament reconstruction planning fall outside the core arthroplasty focus of robotic platforms.

The mental model is layered, not competitive: robotics owns the intraoperative execution loop where it is deployed; independent AI planning broadens the planning layer to everyone else and every other procedure.

What Surgeons Should Take From This

If you have a robotic platform, its planning is part of that ecosystem and works well within it. If you are planning the far larger set of cases done without one, or osteotomy and reconstruction cases the robot does not target, independent AI planning gives you validated 3D modelling and measurement without buying into a full stack. The two are not substitutes; they serve different parts of the surgical pathway.

FAQ

Does AI planning software replace a surgical robot? No. A robot enforces the plan during execution; planning software produces the plan. Software planning serves the majority of cases done without a robot and procedures outside arthroplasty.

Can I use AI planning if my hospital does not have a robot? Yes, that is the main point. Software-only, especially browser-based, planning needs no capital equipment.

Is AI planning tied to a specific implant brand? Independent planning tools are platform-neutral, unlike planning embedded in a robotic or implant ecosystem.

Where does the patient's CT go? With client-side tools, it stays on the surgeon's device, no upload, simplifying data-governance obligations.

The Takeaway

Robotic arthroplasty systems excel at closing the loop between plan and execution where they are installed. Independent AI planning is complementary: it extends fast, validated 3D planning to the cases and procedures, and the surgeons, outside that footprint. The future is layered, not winner-take-all.

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Disclaimer: This article is for educational and research purposes only. Mako is a trademark of Stryker; mention is for educational context and does not imply affiliation or endorsement. Salnus tools are designated for Research Use Only (RUO) and are not cleared medical devices. Clinical decisions should be made by qualified physicians.

References:

• AI and multimodal imaging in orthopaedics: from technological advances to clinical translation. Frontiers in Medicine, 2025. https://www.frontiersin.org/journals/medicine/articles/10.3389/fmed.2025.1728248/full
• Reliable prediction of implant size and axial alignment in AI-based 3D preoperative planning for TKA. PMC, 2024. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11266554/
• Salnus Research Group. 3D-Printed Patient-Specific Guides for Knee Reconstruction. OJSM, 2026.