Telemedicine and AI in Occupational Skin Disease Management: A Contemporary Review

Reza Yuridian Purwoko, Jemie Muliadi, Rusdianto Roestam, Tjong Wan Sen Wan Sen, Lukas Sangka Pamungkas, Anto Satriyo Nugroho, Nasrullah Armi, Muhamad Rodhi Supriyadi, Rima Melati, Muhammad Subhan Alfaqih, Ivan Adrian Montolalu, Rudi Ruhdiat, Inneke Winda Ferianasari, Evy Aryanti Aryanti, Silvan Saputra, Asmail Asmail, Manuela Rahayaan, Siti Nuraini Hi Rauf

Abstract


Occupational skin diseases present significant challenges to workplace health, impacting both productivity and quality of life. The integration of telemedicine and artificial intelligence (AI) has transformed dermatological care by facilitating remote consultations, enabling early diagnosis, and supporting continuous monitoring. The COVID-19 pandemic has accelerated the adoption of digital health solutions, underscoring their potential to enhance accessibility and efficiency in occupational dermatology.AI-driven innovations, including machine learning algorithms and wearable technologies, have further improved diagnostic accuracy and patient management. However, challenges such as healthcare disparities, technological limitations, and workplace-specific factors continue to hinder widespread implementation. This review explores the evolving role of telemedicine and AI in managing occupational skin diseases, highlighting key challenges, emerging opportunities, and policy considerations for enhancing workplace health outcomes.

Keywords


Occupational Skin Diseases; Telemedicine; Artificial Intelligence; Digital Health; Workplace Dermatology

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DOI: http://dx.doi.org/10.33021/firm.v8i2.5802

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