Headshot of Callum Pearse

Callum Pearse

Final-year medical student, King’s College London · Surgical research · Surgical education & robotics

Alongside my medical studies, I contribute to research spanning surgical education, robotic surgery, objective technical-performance assessment and surgeon wellbeing, with particular interests in simulation-based training, motion-derived performance analytics and machine-learning approaches to assessment.

2 Journal Articles
2 Published Abstracts
2 Oral Presentations
5 Posters & Papers
Systematic reviews & meta-analysis Surgical education Robotic surgery Workforce wellbeing

About

I am a final-year medical student at King’s College London undertaking research in surgical education, robotic surgery and technology-enabled assessment. My work focuses particularly on objective evaluation of robotic surgical skill, motion-derived performance metrics, simulation-based training and evidence synthesis.

I hope to pursue a career in academic surgery, with a particular interest in urology and robotic surgical subspecialties, combining clinical practice with research on objective, technology-enabled assessment of surgical skill.

Research Interests

  • Robotic surgical skill acquisition and learning curves
  • Objective assessment of technical performance
  • Simulation-based and cross-platform surgical training
  • Motion tracking and multimodal performance analytics
  • Machine learning in surgical assessment
  • Surgeon wellbeing and workforce sustainability
  • Systematic reviews and meta-analysis

Clinical Experience

Clinical placements across 13 specialties during undergraduate training at King's College London.

  • Emergency Medicine and Critical Care - King's College Hospital
  • Obstetrics and Gynaecology - King's College Hospital
  • Paediatrics - Evelina London, Guy's and St Thomas' Hospital
  • Psychiatry (including Perinatal and Forensic) - South London and Maudsley NHS Foundation Trust
  • Trauma and Orthopaedic Surgery - King's College Hospital
  • Cardiac Surgery - King's College Hospital
  • General Surgery - King's College Hospital
  • Cardiology - King's College Hospital & Medway Maritime Hospital
  • Respiratory - King's College Hospital & Medway Maritime Hospital
  • Haematology - Medway Maritime Hospital
  • Neurology - King's College Hospital & Medway Maritime Hospital
  • Stroke Medicine - King's College Hospital
  • Endocrinology - King's College Hospital & Medway Maritime Hospital

Awards & Honours

Recognised by King's College London for outstanding academic performance in consecutive years of undergraduate medical training.

Dean’s Commendation for AKC
King’s College London · 2023–24 (1 of 2)
Dean’s Commendation for AKC
King’s College London · 2023–24 (2 of 2)
Dean’s Commendation for AKC
King’s College London · 2022–23
Worshipful Company of Barbers’ Prize for Academic Excellence
King’s College London · 2022–23
Dean’s Commendation for AKC
King’s College London · 2021–22
Worshipful Company of Barbers’ Prize for Academic Excellence
King’s College London · 2021–22

Research Outputs

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Journal Articles

Assessing Effectiveness and Skill Transferability in Multi-Platform Simulated Training for Robotic Surgical Skills: A Systematic Review
Journal of Robotic Surgery · 2025 · DOI: 10.1007/s11701-025-03090-x

Systematic review evaluating cross-platform skill transferability across robotic systems in simulated settings, with implications for training design and transition between platforms.

Burnout among paediatric surgeons: a systematic review and meta-analysis
BMJ Paediatrics Open · 2025 · DOI: 10.1136/bmjpo-2025-004030

Systematic review and meta-analysis estimating burnout prevalence in paediatric surgery and synthesising associated risk and protective factors.

Published Conference Abstracts

Precision in Motion: Objective Hand-Tracking Kinematic Metrics Correlate With Reviewer-Assessed Robotic Surgical Skill – A Pilot Longitudinal Study
Pearse C et al. · BJS · 2026 · DOI: 10.1093/bjs/znag063.019

Published first-author abstract arising from an oral presentation at the ASiT Annual Conference, examining correlations between objective hand-tracking metrics and reviewer-assessed robotic surgical skill.

Acquisition and analysis of a multimodal dataset for skill evaluation across two robotic surgical systems
Liu WME et al. · BJS · 2026 · DOI: 10.1093/bjs/znag018.325

Published conference abstract describing a multimodal dataset across two robotic surgical platforms to support objective skill evaluation, training assessment and performance analytics.

Acquisition and analysis of a multimodal dataset for skill evaluation across two robotic surgical systems
Liu WME et al. · European Urology Open Science · 2025 · DOI: 10.1016/S2666-1683(25)00543-9

Published conference abstract describing a multimodal dataset across two robotic surgical platforms to support objective skill evaluation, training assessment and performance analytics. Also presented as a poster at the 22nd Meeting of the EAU Robotic Urology Section (see Publications).

Oral Presentations

Learning from Motion: A Multi-modal, System-Agnostic Pipeline for Objective Robotic Surgical Training Assessment
Wai Miu Emma Liu et al. · Presented by Callum Pearse · Royal College of Surgeons of England Future of Surgery Festival · Birmingham, England · 20–21 April 2026

Multi-modal, system-agnostic pipeline for objective assessment in robotic surgical training using motion-derived metrics and complementary data streams across platforms.

Precision in Motion: Objective Hand-Tracking Kinematic Metrics Correlate With Reviewer-Assessed Robotic Surgical Skill – A Pilot Longitudinal Study
First-author oral presentation · ASiT Annual Conference · Manchester, England · 6–8 March 2026

Pilot longitudinal study demonstrating correlations between objective hand-tracking kinematic metrics and reviewer-assessed robotic surgical skill.

Poster Presentations

Robotic surgical skills acquisition and early learning curve progression between the Hugo RAS and Da Vinci X platforms amongst novice trainees
Liu WME et al. · Poster presentation (presenting author) · ERUS26 · Padua, Italy · 9–11 September 2026 · DOI: 10.1016/S2666-1683(26)00846-3

Comparative analysis of early robotic surgical skill acquisition and learning-curve progression across the Hugo RAS and Da Vinci X platforms amongst novice trainees.

Platform-agnostic automated motion-based metrics for robotic skill assessment
Dave C et al. · Poster presentation (presenting author: Charvi Dave) · ERUS26 · Padua, Italy · 9–11 September 2026 · DOI: 10.1016/S2666-1683(26)00825-6

Platform-agnostic, automated motion-based metrics for objective robotic surgical skill assessment across robotic surgical systems.

Acquisition and analysis of a multimodal dataset for skill evaluation across two robotic surgical systems
Conference poster · 22nd Meeting of the EAU Robotic Urology Section · London · 2025

Poster presenting a multimodal dataset designed to support objective robotic surgical skill evaluation across two robotic platforms. Abstract published in European Urology Open Science (see Publications).

Bimanual Dexterity as an Objective Marker of Robotic Surgical Expertise for a Machine Learning Model
Conference poster · RCSEd Triennial & ICOSET Conference · Edinburgh · 2025 · DOI: 10.13140/RG.2.2.11472.37128

Poster exploring bimanual dexterity metrics as an objective marker of robotic expertise to inform machine-learning-based performance modelling.

Conference Papers

Hands On: A Comparative Analysis of Left- and Right-Hand Workspaces in Surgical Robotic Skills Training
Conference paper · Hamlyn Symposium of Medical Robotics · London · 2025 · DOI: 10.31256/HSMR25.40

Comparative analysis of left- and right-hand workspaces in robotic skills training to support targeted practice design and objective assessment.

Contact

For academic collaboration, research enquiries or professional correspondence: