Bridging Technology and Healthcare

Emerging technologies have sparked a surge in demand for artificial intelligence (AI), aimed at optimising various industries and simplifying daily tasks. In response to the rapid evolution of technology and the evolving requirements of surgical practices, we introduce an innovative application leveraging machine learning. Utilising Cloud Annotations, Collaboratory, and Node-RED, we developed a platform for accurate surgical instrument classification. By training our model on a diverse set of instruments and enabling user-friendly image capture, our application stands poised to revolutionise surgical workflows. This paper highlights the role of AI in healthcare and outlines the potential of our application to enhance surgical practices, improve instrument recognition, and contribute to patient care advancement. We also address challenges and opportunities in integrating AI into healthcare while proposing avenues for future research and development.

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Publication Details

Journal
Tehnički glasnik
Published
2025-06-16
DOI
https://doi.org/10.31803/tg-20240516154449
Primary Topic
Quality and Safety in Healthcare
Type
article
Field-Weighted Citation Impact
0.00
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article

Bridging Technology and Healthcare

Matea Grdić, Sven Maričić, Lucia Labinjan, Damjana Mihaljević
Tehnički glasnik
Quality and Safety in Healthcare
article

Bridging Technology and Healthcare

Matea Grdić, Sven Maričić, Lucia Labinjan, Damjana Mihaljević
article en

Abstract

Emerging technologies have sparked a surge in demand for artificial intelligence (AI), aimed at optimising various industries and simplifying daily tasks. In response to the rapid evolution of technology and the evolving requirements of surgical practices, we introduce an innovative application leveraging machine learning. Utilising Cloud Annotations, Collaboratory, and Node-RED, we developed a platform for accurate surgical instrument classification. By training our model on a diverse set of instruments and enabling user-friendly image capture, our application stands poised to revolutionise surgical workflows. This paper highlights the role of AI in healthcare and outlines the potential of our application to enhance surgical practices, improve instrument recognition, and contribute to patient care advancement. We also address challenges and opportunities in integrating AI into healthcare while proposing avenues for future research and development.

Tehnički glasnikVol. 19(3)
Juraj Dobrila University of Pula (HR)
Openalex Percentile: Top 74%
Quality and Safety in Healthcare
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