Cost-effectiveness in AI evaluation typically includes assessments of what?

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Cost-effectiveness in AI evaluation involves analyzing the total costs across all phases of implementation and operation, including development, maintenance, training, and any indirect costs that may arise. This comprehensive assessment allows practitioners and decision-makers to understand the full financial impact of adopting AI technologies in their practice.

Considering total costs helps in determining the overall return on investment and efficiency gains that the AI solution brings over time, compared to its initial expenses. This holistic approach is essential for making informed decisions about the financial viability and long-term sustainability of integrating AI into dental practices.

The other options focus on narrower aspects, such as just the initial investment or specific expenses, which do not provide a complete picture of cost-effectiveness. By evaluating total costs, one can better assess the actual savings, productivity enhancements, and improvements in patient care that AI could potentially deliver.

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