Table 2. Inclusion and exclusion criteria for the systematic review of global economic evaluations and equity studies on the use of artificial intelligence (AI) in medical diagnosis in people with dermatological, neurological, and pulmonary diseases.

Criteria	Inclusion	Exclusion
Article types	Original articles reporting economic or equity evaluations. Cost-effectiveness, cost-utility, cost-benefit, and cost-minimization analyses were considered. Regarding equity, the authors analyzed reported improvements or declines in patient outcomes based on access to health care and demographic indicators such as age, gender, race, and income.	Articles that were not complete economic evaluations, such as cost analyses, cost description studies, and cost outcome descriptions, were excluded. The exclusion was based on the need to include only studies that provided a complete assessment of both costs and outcomes, allowing for a comprehensive understanding of the economic impact of AI interventions. This approach ensures that the review addresses studies that evaluate both the financial and health-related consequences of AI technologies. Regarding equity, we excluded studies that did not account for diverse samples reflective of the broader population.
Study focus	The use of artificial intelligence-based tools in diagnostic imaging in dermatological, pulmonary, and neurological fields.	Studies focused on other medical areas, such as heart disease, breast cancer, and diabetes. AI clinical validation and studies to predict risks were also excluded.
Language	No restrictions based on language.	No restrictions based on language.
Year of publication	No restrictions based on the year of publication	No restrictions based on the year of publication