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AICOM-MP: an AI-based monkeypox detector for resource-constrained environments.

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Title: AICOM-MP: an AI-based monkeypox detector for resource-constrained environments.
Authors: Yang, Tianyi (AUTHOR), Yang, Tianze (AUTHOR), Liu, Andrew (AUTHOR), An, Na (AUTHOR), Liu, Shaoshan (AUTHOR), Liu, Xue (AUTHOR)
Source: Connection Science. Dec2024, Vol. 36 Issue 1, p1-14. 14p.
Subjects: Monkeypox, Age discrimination, Web hosting, Artificial intelligence, Medical technology
Abstract: Under the Autonomous Mobile Clinics (AMCs) initiative, the AI Clinics on Mobile (AICOM) project is developing, open sourcing, and standardising health AI technologies on low-end mobile devices to enable health-care access in least-developed countries (LDCs). As the first step, we introduce AICOM-MP, an AI-based monkeypox detector specially aiming for handling images taken from resource-constrained devices. We have developed AICOM-MP with the following principles: minimisation of gender, racial, and age bias; ability to conduct binary classification without over-relying on computing power; capacity to produce accurate results irrespective of images' background, resolution, and quality. AICOM-MP has achieved state-of-the-art (SOTA) performance. We have hosted AICOM-MP as a web service to allow universal access to monkeypox screening technology, and open-sourced both the source code and the dataset of AICOM-MP to allow health AI professionals to integrate AICOM-MP into their services. [ABSTRACT FROM AUTHOR]
Copyright of Connection Science is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Psychology and Behavioral Sciences Collection
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  Data: <searchLink fieldCode="AR" term="%22Yang%2C+Tianyi%22">Yang, Tianyi</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Yang%2C+Tianze%22">Yang, Tianze</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Liu%2C+Andrew%22">Liu, Andrew</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22An%2C+Na%22">An, Na</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Liu%2C+Shaoshan%22">Liu, Shaoshan</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Liu%2C+Xue%22">Liu, Xue</searchLink> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22Connection+Science%22">Connection Science</searchLink>. Dec2024, Vol. 36 Issue 1, p1-14. 14p.
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  Data: <searchLink fieldCode="DE" term="%22Monkeypox%22">Monkeypox</searchLink><br /><searchLink fieldCode="DE" term="%22Age+discrimination%22">Age discrimination</searchLink><br /><searchLink fieldCode="DE" term="%22Web+hosting%22">Web hosting</searchLink><br /><searchLink fieldCode="DE" term="%22Artificial+intelligence%22">Artificial intelligence</searchLink><br /><searchLink fieldCode="DE" term="%22Medical+technology%22">Medical technology</searchLink>
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  Label: Abstract
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  Data: Under the Autonomous Mobile Clinics (AMCs) initiative, the AI Clinics on Mobile (AICOM) project is developing, open sourcing, and standardising health AI technologies on low-end mobile devices to enable health-care access in least-developed countries (LDCs). As the first step, we introduce AICOM-MP, an AI-based monkeypox detector specially aiming for handling images taken from resource-constrained devices. We have developed AICOM-MP with the following principles: minimisation of gender, racial, and age bias; ability to conduct binary classification without over-relying on computing power; capacity to produce accurate results irrespective of images' background, resolution, and quality. AICOM-MP has achieved state-of-the-art (SOTA) performance. We have hosted AICOM-MP as a web service to allow universal access to monkeypox screening technology, and open-sourced both the source code and the dataset of AICOM-MP to allow health AI professionals to integrate AICOM-MP into their services. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Connection Science is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1080/09540091.2024.2306962
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        Text: English
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              Text: Dec2024
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