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Fast and Precise: AI Medical Devices at the Intersection of Speed and Accuracy

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Abstract

Background

Artificial intelligence (AI) is revolutionizing healthcare by integrating into medical devices to improve diagnostic accuracy, treatment efficiency, and patient outcomes. AI technologies such as machine learning, deep learning, and edge computing play a crucial role in real-time data processing and integration into medical devices.

Objective

This paper provides an overview of the current state of AI in medical devices, emphasizing its integration into healthcare, technological advancements, and regulatory frameworks. It explores the trade-off between speed and accuracy in AI systems, as well as ethical and practical challenges.

Methods

A comprehensive review of the AI technologies in medical devices is presented, including the categorization of AI applications, regulatory guidelines, and the role of edge computing and Internet of Things (IoT) integration. Case studies showcasing AI medical devices focusing on speed vs. accuracy trade-offs are analyzed, along with the integration of AI in diagnostic imaging, personalized medicine, and predictive analytics.

Results

AI technologies have significantly enhanced diagnostic accuracy, clinical decision-making, and patient monitoring. The trade-off between speed and accuracy is addressed through innovative solutions like edge computing and machine learning. AI has shown potential in various fields such as radiology, cardiac monitoring, and surgical guidance, with case studies demonstrating both fast and accurate AI applications.

Conclusion

The integration of AI into medical devices is poised to transform healthcare by improving clinical workflows, decision-making, and personalized care. However, ethical considerations and regulatory challenges related to data privacy, algorithmic fairness, and patient safety must be addressed to ensure sustainable development. Continued innovation, supported by rigorous regulatory frameworks, will be essential for the effective and ethical deployment of AI in medical devices.

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Data Availability

No datasets were generated or analysed during the current study.

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Acknowledgements

The authors would like to thank Dr Thakur Gurjeet Singh, Dean, Chitkara College of Pharmacy, Chitkara University, for providing necessary support and facilities.

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  1. Chitkara College of Pharmacy, Chitkara University, Punjab, India

    Rashib Seth, Manju Nagpal & Rajan Swami

  2. MM College of Pharmacy, Maharishi Markandeshwar (Deemed to Be University), Mullana, Ambala, 133-207, India

    Malkiet Kaur

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Dr. Manju Nagpal suggested the topic and content, flow of the manuscript and final check. Rashib Seth collect the literature and initial compilation of manuscript draft. Malkiet Kaur did final compilation and formatting of the document. Dr. Rajan did all the interpretation of the whole manuscript.

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Seth, R., Nagpal, M., Swami, R. et al. Fast and Precise: AI Medical Devices at the Intersection of Speed and Accuracy. Curr. Pharmacol. Rep. 12, 10 (2026). https://doi.org/10.1007/s40495-026-00450-5

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