Emerging Trends in AI-Integrated Optical Biosensors for Point-of-Care Diagnostics: Current Status and Future Prospects

Sathishkumar Subburaj; Conghui Liu; Tailin Xu

doi:10.1039/d5cc04899k

January 1, 2025Chemical Communications

Emerging Trends in AI-Integrated Optical Biosensors for Point-of-Care Diagnostics: Current Status and Future Prospects

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Key Points

AI-assisted optical biosensors show promise in improving disease detection capabilities with higher efficiency.
These biosensors offer rapid and sensitive diagnosis, making them crucial in point-of-care settings for diverse diseases.
Current advancements indicate significant progress in integrating AI for enhanced performance of optical biosensors.
The future prospects suggest further innovations, expanding the utility of these biosensors in healthcare diagnostics.

Implication

Investigation reveals the status and future of AI-integrated optical biosensors, highlighting innovations in disease detection.

Abstract

Optical biosensors have emerged as a transformative class of point-of-care diagnostic (POCD) devices, offering sensitive, specific, and rapid detection of diseases. The integration of optical biosensors with artificial intelligence (AI)...

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Cite This Study

Subburaj et al. (2025) studied this question.

synapsesocial.com/papers/68e9b1d9ba7d64b6fc132fef https://doi.org/10.1039/d5cc04899k

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Emerging Trends in AI-Integrated Optical Biosensors for Point-of-Care Diagnostics: Current Status and Future Prospects

Key Points

Implication

Abstract

Discussion

Cite This Study

Emerging Trends in AI-Integrated Optical Biosensors for Point-of-Care Diagnostics: Current Status and Future Prospects

Key Points

Implication

Abstract

Discussion

Cite This Study

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