A review: artificial intelligence in image-guided spinal surgery

Zeng, Jiahang; Fu, Qiang

doi:10.1080/17434440.2024.2384541

Expert Review of Medical Devices

2024

DOI: 10.1080/17434440.2024.2384541

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A review: artificial intelligence in image-guided spinal surgery

Jiahang Zeng,

Qiang Fu

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2024

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A web-based platform for studying the impact of artificial intelligence in video capsule endoscopy

Apostolidis,

Kakouri,

Dimaridis

et al. 2024

Health Informatics J

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Objective: Integrating artificial intelligence (AI) solutions into clinical practice, particularly in the field of video capsule endoscopy (VCE), necessitates the execution of rigorous clinical studies. Methods: This work introduces a novel software platform tailored to facilitate the conduct of multi–reader multi–case clinical studies in VCE. The platform, developed as a web application, prioritizes remote accessibility to accommodate multi–center studies. Notably, considerable attention was devoted to user interface and user experience design elements to ensure a seamless and engaging interface. To evaluate the usability of the platform, a pilot study is conducted. Results: The results indicate a high level of usability and acceptance among users, providing valuable insights into the expectations and preferences of gastroenterologists navigating AI–driven VCE solutions. Conclusion: This research lays a foundation for future advancements in AI integration within clinical VCE practice.

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A web-based platform for studying the impact of artificial intelligence in video capsule endoscopy

Apostolidis,

Kakouri,

Dimaridis

et al. 2024

Health Informatics J

View full text Add to dashboard Cite

show abstract

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A review: artificial intelligence in image-guided spinal surgery

Cited by 1 publication

References 64 publications

A web-based platform for studying the impact of artificial intelligence in video capsule endoscopy

A web-based platform for studying the impact of artificial intelligence in video capsule endoscopy

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