Dr. Watson type Artificial Intellect (AI) Systems
Saveli Goldberg (1), Stanislav Belyaev (2), Vladimir Sluchak ((1) MGH, Radiation Oncology Department, (2) Eastern New Mexico Medical Center)

TL;DR
This paper introduces 'Dr. Watson-type' AI systems that assist users by prompting questions and guiding decision-making, inspired by Holmes-Watson interactions, with applications in healthcare and data management.
Contribution
It proposes a novel AI interaction model based on literary Holmes-Watson dynamics, emphasizing user-guided problem solving rather than direct solutions.
Findings
Defined properties of Dr. Watson-type systems
Developed a Patient Management System for intensive care
Created a Data Error Prevention System
Abstract
The article proposes a new type of AI system that does not give solutions directly but rather points toward it, friendly prompting the user with questions and adjusting messages. Models of AI human collaboration can be deduced from the classic literary example of interaction between Mr. Holmes and Dr. Watson from the stories by Conan Doyle, where the highly qualified expert Mr. Holmes answers questions posed by Dr. Watson. Here Mr. Holmes, with his rule-based calculations, logic, and memory management, apparently plays the role of an AI system, and Dr. Watson is the user. Looking into the same Holmes-Watson interaction, we find and promote another model in which the AI behaves like Dr. Watson, who, by asking questions and acting in a particular way, helps Holmes (the AI user) make the right decisions. We call the systems based on this principle "Dr. Watson-type systems." The article…
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Taxonomy
TopicsMachine Learning in Healthcare · Artificial Intelligence in Healthcare and Education · Explainable Artificial Intelligence (XAI)
