Michael T. Hirschmann

Section Head Knee Surgery

Kantonsspital Baselland (Bruderholz, Liestal, Laufen)

Switzerland

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About

Michael T. Hirschmann is the Section Head of Knee Surgery at Kantonsspital Baselland, located in Switzerland. His research focuses on personalized alignment in knee surgery, robotic-assisted total knee arthroplasty, and knee biomechanics, as highlighted in his recent publications. He emphasizes the importance of inter-continental collaboration in improving patient outcomes and explores the implications of kinematic versus kinetic alignment in surgical practices.

Articles (10)

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2026

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2026

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2026

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2026

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2025

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2025

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2025

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2025

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2025

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2025

Collaborators (4)

Letizia Mancini

Campus Bio Medico University Hospital

ITALY

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Robert Feldt

SWEDEN

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Kristian Samuelsson

Professor of Orthopaedic Surgery

Göteborgs Universitet

SWEDEN

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Randa Elsheikh

University Children’s Hospital Basel

SWITZERLAND

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Michael T. Hirschmann

Research Interests

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Articles (10)

Phenotyping the knee joint - a narrative review of current literature

Standardised balancing goals are not able to reconstruct individual laxity-functional knee phenotypes in more than 50 % of knees

Personalized alignment – the importance of inter-continental research for improving patient outcomes today and tomorrow

Pros and cons of the coronal plane alignment of the knee (CPAK) classification in total knee arthroplasty – a narrative review

Step‐by‐step insight into gait analysis: A narrative review unlocking knee biomechanics

Kinematic alignment doesn't tell the whole story: It's time for kinetic alignment

Robotic arm‐assisted total knee arthroplasty reduces postoperative inflammatory response and blood loss compared to manual total knee arthroplasty: A matched‐pairs analysis of 688 patients

Metal sensitivity in total joint arthroplasty: None of the current diagnostic tests are reliable, sensitive and specific enough to guide treatment decisions!

Image-Based Robotic Unicompartmental Knee Arthroplasty Results in Fewer Radiologic Outliers with No Impact on Revision Rates Compared to Imageless Systems: A Systematic Review

Artificial intelligence‐assisted analysis of musculoskeletal imaging—A narrative review of the current state of machine learning models

Collaborators (4)

Letizia Mancini

Robert Feldt

Kristian Samuelsson

Randa Elsheikh

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