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AI-powered 3D bone analysis for orthopedic surgical planning.

CurveBeam AI develops artificial intelligence tools for bone segmentation and 3D deformity measurement, supporting orthopedic surgeons in weight-bearing CT analysis and clinical planning. Its software enables precise, 3D-based assessments that inform surgical decisions for foot, ankle, and knee conditions. On MarketScale, CurveBeam AI publishes content for orthopedic clinicians and medical imaging professionals.

47 episodes
Channel Brief·CurveBeam AI · 47 episodes
Updated Oct 20, 2025

Human judgment trumps robotics in orthopedic innovation.

CurveBeam AI argues that advanced imaging and 3D planning matter more than automation, backed by interviews with surgeons, researchers, and medtech leaders deploying weight-bearing CT in real practice.

CurveBeam AI's thesis is that orthopedic innovation succeeds when it augments surgeon decision-making rather than replacing it. The channel supports this through clinical evidence and practitioner testimonies: weight-bearing CT imaging reveals what static scans miss, 3D surgical planning reduces operating room inefficiency, and AI-driven diagnostics improve accuracy, but human skill remains the true differentiator. Robot-assisted surgery, despite growth, still accounts for only a fraction of procedures and functions as an aide, not a replacement.

Drawn from Patient Care and Orthopedic Innovation in the … and 4 more →

“Robotic tools are currently more of an aide than a replacement for surgeons.”

Episode 1: Patient Care and Orthopedic Innovation in the Age of AI

By the numbers

11.6%

U.S. knee arthroplasties using robot assistance in 2022

6x

increase in robot-assisted knee arthroplasty adoption from 2017 to 2022

26

bones in the foot and ankle

29

muscles in the foot and ankle

What the channel argues

DataRobot-assisted knee arthroplasty grew six-fold since 2017 yet remains 11.6% of procedures.→
InsightWeight-bearing CT scans expose skeletal alignment and joint mechanics invisible on static imaging.→
InsightInReach CT system cut research timelines in half at University of Arizona Hand Lab.→
DataFoot and ankle contain 26 bones and 29 muscles, enabling 100+ hallux valgus procedures.→
InsightDr. Sudheer Reddy used weight-bearing CT for five years starting 2017 in his Rockville practice.→

What you'll learn

•Weight-bearing CT imaging reveals joint mechanics under load that traditional MRI and static CT cannot capture, improving surgical planning accuracy.
•Robotics is growing in orthopedics but remains a surgical aide; human judgment and patient comprehension remain the true clinical differentiators.
•3D planning tools and AI diagnostics reduce OR inefficiency and research timelines, but only when integrated into comprehensive clinical facilities.
•Orthopedic practices benefit from in-office imaging and integrated facilities that allow surgeons to diagnose and treat patients from intake to discharge.
•Advanced imaging technology adoption is accelerating globally, with early adopters in France, the UK, and the U.S. reporting faster research and better patient outcomes.

What to do about it

→Evaluate weight-bearing CT or cone beam CT imaging integration into your orthopedic facility to improve surgical planning accuracy and patient engagement.
→Assess your surgical planning workflow: identify bottlenecks in diagnosis and pre-op planning that 3D imaging or AI-assisted segmentation could reduce.
→Review your facility's imaging accreditation and compliance standards through bodies like the Intersocietal Accreditation Commission to maintain clinical credibility.

Who and what shows up

Dr. Lew Schon

Director of Innovation at Mercy Medical Center, Professor at Johns Hopkins and NYU Langone

Primary host of CurveBeam AI Cast; established voice connecting academic orthopedic innovation to clinical practice across multiple episodes.

Dr. Cesar de Cesar Netto

Orthopedic researcher, global leader in WBCT applications

Pioneer in weight-bearing CT research for progressive collapsing foot disorder; believes all foot and ankle studies will eventually require WBCT data.

Dr. Marie-Aude Munoz

Orthopedic Foot & Ankle Surgeon, Montpellier, France

First in France to open a private clinic centered on weight-bearing CT imaging for foot and ankle pathology, demonstrating technology-driven practice differentiation.

Dr. Stefano Bini

Knee arthroplasty expert and academic, University of California San Francisco

Discusses AI adoption for outcome prediction and robotics' role in reducing technical variability and improving ROI in orthopedic surgery.

Prof. Ego Seeman

Medical Director – Endocrinology, CurveBeam AI; Professor, University of Melbourne

Addresses the future of bone health imaging and mentorship's role in shaping orthopedic innovation.

Questions this channel answers

Q

How is weight-bearing CT changing orthopedic diagnosis and surgical planning?

Weight-bearing CT captures skeletal alignment and joint mechanics under load, exposing conditions invisible on traditional static imaging and allowing surgeons to plan procedures with real-world patient movement in mind.

Beyond Traditional Imaging: Dr. Blake Moore on Weight-Be… →
Q

Are robots going to replace orthopedic surgeons?

No. Robot-assisted technology accounted for 11.6% of knee arthroplasties in 2022 and functions as a surgical aide, not a replacement. Human skill, judgment, and patient connection remain the true differentiators.

Patient Care and Orthopedic Innovation in the Age of AI:… →
Q

What technologies are most improving orthopedic outcomes right now?

AI-driven diagnostics, 3D surgical planning, and weight-bearing imaging. These improve accuracy and efficiency when integrated into comprehensive clinical facilities, not in isolation.

The Benefits of WBCT 3D Imaging Technologies with Dr. Fr… →
Q

How does 3D imaging accelerate orthopedic research?

The InReach CT system at the University of Arizona Hand Lab cut research timelines in half by enabling immediate, high-resolution scanning with low radiation, streamlining workflow for biomechanics studies.

How InReach CT has Sped up the Pace of Research at the U… →
Topics:Weight-bearing CT imaging3D surgical planningAI-driven diagnostics and bone segmentationFoot and ankle orthopedicsRobotic-assisted surgery
Themes:Imaging as decision support, not automation3D geometry transforms surgical planningHuman skill remains the true differentiator

Industry context

AI in medical imaging is growing rapidly, with the global market projected to expand from $2.43 billion in 2026 to $29.95 billion by 2034. Adoption focuses on clinical decision support alongside human expertise rather than full automation.