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Record W4392293088 · doi:10.1049/htl2.12082

Papers from the 17th Joint Workshop on Augmented Environments for Computer Assisted Interventions at MICCAI 2023: Guest Editors’ Foreword

2024· editorial· en· W4392293088 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueHealthcare Technology Letters · 2024
Typeeditorial
Languageen
FieldComputer Science
TopicContext-Aware Activity Recognition Systems
Canadian institutionsUniversity of British ColumbiaConcordia UniversityÉcole de Technologie SupérieureWestern University
Fundersnot available
KeywordsComputer scienceJoint (building)EngineeringArchitectural engineering

Abstract

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Welcome to this Special Issue of Wiley's Healthcare Technology Letters (HTL) journal dedicated to the 2023 edition of the Augmented Environments for Computer-Assisted Interventions (AE-CAI), Computer Assisted and Robotic Endoscopy (CARE), and Context-aware Operating Theatres (OR 2.0) joint workshop. We are pleased to present the proceedings of this exciting scientific gathering held in conjunction with the Medical Image Computing and Computer-Assisted Interventions (MICCAI) conference on 8 October 2023 in Vancouver, British Columbia, Canada. Over the past several years, the satellite workshops and tutorials at MICCAI have experienced increased popularity. This year's workshop brings together three communities that joined forces for the first time in February 2020 for a MICCAI 2020 Joint Workshop, in light of our common interests in image guidance, navigation and visualization for computer-assisted interventions and have continued this joint venture legacy every year since. The 2023 edition of AE-CAI | CARE | OR 2.0 was a joint event between the series of MICCAI-affiliated AE-CAI workshops founded in 2006 and now on its 17th edition, the CARE workshop series, now on its 10th edition, and the OR 2.0 workshop now on its 5rd edition. This year's edition of the workshop featured 20 accepted submissions and reached more than 70 registrants, not including the members of the organizing and program committees, making AE-CAI | CARE | OR 2.0 one of the best received and best attended workshops with more than a decade-long standing tradition at MICCAI 2023. Computer-Assisted Interventions (CAI) is a field of research and practice, where medical interventions are supported by computer-based tools and methodologies. CAI systems enable more precise, safer, and less invasive interventional treatments by providing enhanced planning, real-time visualization, instrument guidance and navigation, as well as situation awareness and cognition. These research domains have been motivated by the development of medical imaging and its evolution from being primarily a diagnostic modality towards its use as a therapeutic and interventional aid, driven by the need to streamline the diagnostic and therapeutic processes via minimally invasive visualization and therapy. To promote this field of research, our workshop seeks to showcase papers that disseminate novel theoretical algorithms, technical implementations, and development and validation of integrated hardware and software systems in the context of their dedicated clinical applications. The workshop attracts researchers in computer science, biomedical engineering, computer vision, robotics, and medical imaging. The workshop was hosted as a single track, in person, event, where all accepted papers were featured as a podium presentation as part of three sessions: Endoscopy Applications, AR/VR/MR Applications, and Surgical Data Science. To foster networking and discussion, all authors were provided with the opportunity to present their work as a poster presentation in addition to their podium presentation. In addition to the presentations of contributed papers, we were delighted to welcome two top notch keynote lecturers. Dr. Danny Goel, an orthopaedic surgeon at the University of British Columbia, as well as Founder and CEO of Precision OS, spoke on transforming global medical education with spatial computing, enabling a new era of technology in healthcare. Dr. Gabor Fichtinger, Professor at Queen's University School of Computing, spoke about the use and power of point-of-care ultrasound-guided therapies and interventions in the global health context. All manuscripts submitted to the joint AE-CAI | CARE | OR2.0 2023 joint workshop were held up to journal standards, as the ultimate objective was to publish accepted work in this Special Issue of Wiley's Healthcare Technology Letters journal. This year's joint workshop received 28 manuscripts spanning a strong geographic representation from Europe, North America, and Asia. The review process was rigorous and involved a double blind evaluation of each manuscript by three to five external reviewers. Following the first round of review, eight manuscripts were accepted pending minor revisions, ten manuscripts were accepted pending major revisions, three manuscripts were recommended for major revision and resubmission followed by another round of review, and the remaining seven manuscripts were rejected. All authors were required to submit a response to reviewers for all manuscripts, along with a revised manuscript indicating all edits and changes in response to the reviewers’ critiques. Once revised, all resubmitted manuscripts entered a second round of review conducted by the Program Committee, Workshop Chairs, as well as the Wiley's HTL Managing Editor and Editor-in-Chief to ensure that all reviewers’ critiques were properly addressed in the revised manuscripts and that the quality of the revised manuscripts was appropriate for journal publication. All author responses and revised manuscripts were revisited and assessed by the Joint Workshop Program Committee and Associate Editors, while also seeking the original reviewers’ opinion on the authors’ responses and revisions for manuscripts that underwent major revision and resubmission, as needed. Throughout the review process, three additional manuscripts were withdrawn by the authors, leading to eighteen manuscripts accepted for publication in this special issue and forwarded to the journal for production. On behalf of the 2023 AE-CAI | CARE | OR 2.0 Joint Workshop Organizing Committee, we would like to extend our sincere gratitude to all authors, presenters, and attendees for their scientific contribution, enthusiasm, and support. We also extend special thanks to all reviewers for providing detailed and timely critiques of the submitted manuscripts. We also express our sincere thanks to our Keynote Lecturers for taking time on a Sunday to be with us and deliver their presentations. We also acknowledge the support we received from the MICCAI 2023 Conference Organizing Committee and the MICCAI Workshop and Satellite Events Committee, as well as Wiley's HTL Editorial Office for supporting us in maintaining the high quality of the workshop through outstanding research contributions that fostered exciting discussions at the event. Last but not least, we acknowledge our generous sponsors. We thank Northern Digital Inc. (NDI), and Intuitive Surgical for their continued support. Our sponsors’ generous contributions have enabled us to recognize our authors for their much-deserved dedication and scientific enthusiasm through several paper awards, as well as offset registration costs for student authors from developing countries. In closing, a big thank you on behalf of all awardees and registrants, and, once again, sincere congratulations to all award winners listed below! The following manuscripts appearing in this Special Issue have been recognized with an Outstanding Paper Award at the 2023 edition on the AE-CAI Workshop in Vancouver! Jasper Hofman et al. from Orsi Academy for their paper entitled First-in-human Realtime AI-assisted Augmented Reality for Renal Surgery. Daiwei Lu et al. from Vanderbilt University for their paper entitled ASSIST-U: A System for Segmentation and Image Style Transfer for Ureteroscopy. Gerardo Loza Galindo et al. from the University of Leeds for their paper entitled Real-time Surgical Tool Detection with Multi-scale Positional Encoding and Contrastive Learning. We hope that you will enjoy reading this Special Issue and we look forward to your continuing support and participation in future editions of the AE-CAI, CARE, and OR 2.0 workshops. Their continued success demands our ongoing commitment and support, and we hope to welcome you all to the next edition of the workshop at MICCAI 2024 in Marrakesh, Morocco. Guest Editors, Wiley's Healthcare Technology Letters Special Issue on Augmented Environments for Computer-Assisted Interventions (AE-CAI) 2023.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity
Consensus categoriesResearch integrity
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Editorial · Consensus signal: Editorial
Teacher disagreement score0.178
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0020.002
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0000.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.043
GPT teacher head0.302
Teacher spread0.260 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it