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Artificial Intelligence: On the Way to Doctor's Trust.

Michael Shifrin¹, Anton Khavtorin², Gleb Danilov¹

¹The N.N.Burdenko National Medical Research Centre of Neurosurgery, Moscow, RF.

Studies in Health Technology and Informatics

|July 1, 2022

Summary

Building trust in modern IT systems, particularly those using artificial intelligence (AI), is crucial. This focus ensures reliability throughout the lifecycle of medical data systems (MDSS) and other information technologies.

Keywords:

Artificial intelligence blockchain medical decision support systems trust

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Area of Science:

Medical Informatics
Information Technology
Artificial Intelligence

Background:

Modern IT systems, especially those incorporating AI, face challenges related to trust.
Trust is a critical factor in the adoption and effective use of healthcare technologies.

Purpose of the Study:

To emphasize the importance of establishing trust in IT systems within the medical informatics community.
To highlight the necessity of trust throughout the entire lifecycle of Medical Data Systems (MDSS) and similar information systems.

Main Methods:

This submission is based on reflections and conceptual analysis.
It involves a review of trust considerations in AI-driven IT systems.

Main Results:

Trust must be a foundational element in the design and implementation of IT systems.
Addressing trust is essential for the successful integration of AI in healthcare.

Conclusions:

Achieving trust is paramount for the lifecycle of MDSS and other information systems.
The medical informatics community must prioritize trust in AI-powered systems to ensure patient safety and data integrity.