A medical robot (MedBot) is a chatbot developed on AI that provides well-grounded and consistent medical data. AI application to MedBots creates a new direction of possibilities in the healthcare sector as one can be sure that there will be an opportunity to provide a better communication system with patients, a system of processing data, patterns of diagnosis and surgical staff. The present research article analyses the adoption curves of an adopted MedBot to the healthcare system following the Bass diffusion model. The innovation together with the imitation must be applied in the hospitals, must have the capacity to form an S-shaped curve with an innovation coefficient (p = .03) and a coefficient of imitation (q = 0.60). The outcome has achieved the level of 45% in 3 years and 70% in 5 years. This shows the reaction of the user that 85% of the people were able to gain a better truth in the discovery, and 75% had improved truth on how to manage the records of the patrons. The ease of usability, trust of the AI technology and compatibility of the new systems to the existing ones are the significant factors that determine the adoption. The results also give a practical implication to the policymakers and the rest of the stakeholders that have any business in the healthcare sector as to the possibility of MedBots positively impacting how the healthcare is delivered to people and how the progress can be made in accomplishing Sustainable Development Goal 3.
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