Pilot deployment of a cloud-based universal medical image repository in a large public health system: A protocol study

This paper outlines the protocol for the deployment of a cloud-based universal medical image repository system. The proposal aims not only at the deployment but also at the automatic expansion of the platform, incorporating Artificial Intelligence (AI) for the analysis of medical image examinations. The methodology encompasses efficient data management through a universal database, along with the deployment of various AI models designed to assist in diagnostic decision-making. By presenting this protocol, the goal is to overcome technical challenges and issues that impact all phases of the workflow, from data management to the deployment of AI models in the healthcare sector. These challenges include ethical considerations, compliance with legal regulations, establishing user trust, and ensuring data security. The system has been deployed, with a tested and validated proof of concept, possessing the capability to receive thousands of images daily and to sustain the ongoing deployment of new AI models to expedite the analysis process in medical image exams.

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Publication Details

Journal
PLoS ONE
Published
2024-08-29
DOI
https://doi.org/10.1371/journal.pone.0307022
Citations
4
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.48

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article

Pilot deployment of a cloud-based universal medical image repository in a large public health system: A protocol study

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4 citations
PLoS ONE
Artificial Intelligence in Healthcare and Education
0.48
article

Pilot deployment of a cloud-based universal medical image repository in a large public health system: A protocol study

Joselisa Péres Queiroz de Paiva, Luan Silva, Rafael Maffei Loureiro, Paulo Victor Santos, Wesley Pacheco Calixto, Solange Amorim Nogueira, José Raniery Ferreira, Brunna Carolinne Rocha Silva Furriel, Guilherme Ribeiro, Viviane Margarida Gomes Pacheco, Daniel Tornieri, Marcio Rodrigues Cunha Reis
article en
4 citations

Abstract

This paper outlines the protocol for the deployment of a cloud-based universal medical image repository system. The proposal aims not only at the deployment but also at the automatic expansion of the platform, incorporating Artificial Intelligence (AI) for the analysis of medical image examinations. The methodology encompasses efficient data management through a universal database, along with the deployment of various AI models designed to assist in diagnostic decision-making. By presenting this protocol, the goal is to overcome technical challenges and issues that impact all phases of the workflow, from data management to the deployment of AI models in the healthcare sector. These challenges include ethical considerations, compliance with legal regulations, establishing user trust, and ensuring data security. The system has been deployed, with a tested and validated proof of concept, possessing the capability to receive thousands of images daily and to sustain the ongoing deployment of new AI models to expedite the analysis process in medical image exams.

PLoS ONEVol. 19(8)
Hospital Israelita Albert Einstein (BR), Instituto Federal de Goiás (BR), Universidade Federal de Goiás (BR)
Conselho Nacional de Desenvolvimento Científico e Tecnológico, Sociedade Beneficente Israelita Brasileira Albert Einstein
Peace, Justice and strong institutions
Openalex Percentile: Top 32%
Artificial Intelligence in Healthcare and Education
0.48
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