Tesi etd-10222024-160727
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Tipo di tesi
Corso Ordinario Ciclo Unico 6 Anni
Autore
ARBOIT, LORENZO
URN
etd-10222024-160727
Titolo
Improving collaborative surgical research: the role of standardization and optimization in endoscopic video sharing
Struttura
Classe Scienze Sperimentali
Corso di studi
SCIENZE MEDICHE - SCIENZE MEDICHE
Commissione
relatore Prof. EMDIN, MICHELE
Relatore Dott. MASCAGNI, PIETRO
Relatore Prof. PADOY, NICOLAS
Presidente Prof. PASSINO, CLAUDIO
Membro Dott.ssa durante, angela
Membro Prof. RECCHIA, FABIO ANASTASIO
Membro Prof. LIONETTI, VINCENZO
Membro Prof.ssa ANGELONI, DEBORA
Membro Prof. GIANNONI, ALBERTO
Relatore Dott. MASCAGNI, PIETRO
Relatore Prof. PADOY, NICOLAS
Presidente Prof. PASSINO, CLAUDIO
Membro Dott.ssa durante, angela
Membro Prof. RECCHIA, FABIO ANASTASIO
Membro Prof. LIONETTI, VINCENZO
Membro Prof.ssa ANGELONI, DEBORA
Membro Prof. GIANNONI, ALBERTO
Parole chiave
- artificial intelligence
- privacy
- video sharing
Data inizio appello
17/12/2024;
Disponibilità
parziale
Riassunto analitico
Background:
The field of Surgical Data Science (SDS) integrates surgical practices with data analytics to improve patient outcomes. Sharing surgical videos is pivotal for advancing research, education, and clinical care. However, challenges such as technical barriers, privacy concerns, and regulatory compliance hinder the widespread adoption of video-sharing solutions.
Objective:
To design and evaluate a software solution, EndoShare, aimed at addressing these barriers through standardized and optimized video sharing in surgical contexts, focusing on technical efficiency, user accessibility, and regulatory compliance.
Methods:
EndoShare was developed using an iterative, user-centered design process, leveraging advanced video processing, machine learning for de-identification, and pseudonymization protocols. Surveys and usability studies involving clinicians were conducted to evaluate its functionality and acceptance. Performance metrics were assessed under real-world conditions, focusing on processing speeds, system compatibility, and user satisfaction.
Results:
EndoShare demonstrated significant efficiency in handling diverse video formats, achieving 99\% accuracy in de-identification tasks, and aligning with GDPR and HIPAA regulations. User feedback highlighted its intuitive interface, robust background processing, and the adaptability of its fast and advanced modes. Surveys indicated high user satisfaction and improved workflow integration compared to existing solutions.
Conclusion:
EndoShare addresses critical challenges in surgical video sharing, offering a scalable, secure, and user-friendly platform that enhances collaborative research and education. Its design principles and outcomes contribute to the broader goal of advancing SDS through standardized and ethical practices. Future developments aim to integrate semi-automated anatomical segmentation and expanded usability testing in varied clinical settings.
The field of Surgical Data Science (SDS) integrates surgical practices with data analytics to improve patient outcomes. Sharing surgical videos is pivotal for advancing research, education, and clinical care. However, challenges such as technical barriers, privacy concerns, and regulatory compliance hinder the widespread adoption of video-sharing solutions.
Objective:
To design and evaluate a software solution, EndoShare, aimed at addressing these barriers through standardized and optimized video sharing in surgical contexts, focusing on technical efficiency, user accessibility, and regulatory compliance.
Methods:
EndoShare was developed using an iterative, user-centered design process, leveraging advanced video processing, machine learning for de-identification, and pseudonymization protocols. Surveys and usability studies involving clinicians were conducted to evaluate its functionality and acceptance. Performance metrics were assessed under real-world conditions, focusing on processing speeds, system compatibility, and user satisfaction.
Results:
EndoShare demonstrated significant efficiency in handling diverse video formats, achieving 99\% accuracy in de-identification tasks, and aligning with GDPR and HIPAA regulations. User feedback highlighted its intuitive interface, robust background processing, and the adaptability of its fast and advanced modes. Surveys indicated high user satisfaction and improved workflow integration compared to existing solutions.
Conclusion:
EndoShare addresses critical challenges in surgical video sharing, offering a scalable, secure, and user-friendly platform that enhances collaborative research and education. Its design principles and outcomes contribute to the broader goal of advancing SDS through standardized and ethical practices. Future developments aim to integrate semi-automated anatomical segmentation and expanded usability testing in varied clinical settings.
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