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. |
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| 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] |
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| Database: | Psychology and Behavioral Sciences Collection |
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| 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] |
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| ISSN: | 09540091 |
| DOI: | 10.1080/09540091.2024.2306962 |
