IMAGE TRANSMISSION AND PROCESSING DEVICES, TELEDIAGNOSTICS

The rapid advancements in image transmission and processing devices have revolutionized the field of telediagnostics, enabling precise, real-time remote medical consultations and diagnostic procedures. This article explores the technological underpinnings and applications of modern image transmission systems, such as high-resolution imaging sensors, data compression algorithms, and wireless communication protocols, which facilitate the efficient transfer of medical images over vast distances. Additionally, it highlights the integration of advanced processing technologies, including artificial intelligence (AI) and machine learning (ML), for automated analysis and interpretation of diagnostic images. Key challenges, such as maintaining data privacy, ensuring transmission quality, and addressing infrastructure disparities, are discussed alongside strategies to overcome these limitations. The article concludes with an assessment of the future potential of image transmission and processing technologies in enhancing global healthcare accessibility through telediagnostics.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-12-15
DOI
https://doi.org/10.5281/zenodo.14494458
Primary Topic
COVID-19 diagnosis using AI
Type
article
Field-Weighted Citation Impact
0.00
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article

IMAGE TRANSMISSION AND PROCESSING DEVICES, TELEDIAGNOSTICS

Zenodo (CERN European Organization for Nuclear Research)
COVID-19 diagnosis using AI
article

IMAGE TRANSMISSION AND PROCESSING DEVICES, TELEDIAGNOSTICS

article en

Abstract

The rapid advancements in image transmission and processing devices have revolutionized the field of telediagnostics, enabling precise, real-time remote medical consultations and diagnostic procedures. This article explores the technological underpinnings and applications of modern image transmission systems, such as high-resolution imaging sensors, data compression algorithms, and wireless communication protocols, which facilitate the efficient transfer of medical images over vast distances. Additionally, it highlights the integration of advanced processing technologies, including artificial intelligence (AI) and machine learning (ML), for automated analysis and interpretation of diagnostic images. Key challenges, such as maintaining data privacy, ensuring transmission quality, and addressing infrastructure disparities, are discussed alongside strategies to overcome these limitations. The article concludes with an assessment of the future potential of image transmission and processing technologies in enhancing global healthcare accessibility through telediagnostics.

Zenodo (CERN European Organization for Nuclear Research)
Industry, innovation and infrastructure
Openalex Percentile: Top 47%
COVID-19 diagnosis using AI
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