In this era, the role of technology is very important. Technology plays a role and aims to ease human work and to make it more efficient. Besides, in the health sector, technology plays an important role in minimizing errors caused by human negligence. For instance, if there is no role of technology in surgical operations performed by doctors, the operation can be dangerous and lead to failure. In other words, AI is a simulation of human-made intelligence in machines programmed to think like humans. AI will improve patient diagnostics, prevention, and therapy and to improve clinical decision-making.12

The application of AI in health service can cause challenges or benefits. The application of technology in healthcare has clear benefits, such as improving patient management choices and outcomes, as well as potential secondary benefits such as fewer referrals, reducing costs, and saving time. It can also assist health facilities in rural areas and promote recruitment and retention in rural areas. Ultimately, this can contribute to a more equitable system of global health care,1 the challenges are facilitating early adoption, and sustainable implementation in the health system, lack of consideration for the user's perspective, and technology cannot be used optimally but the need for adoption of AI in the public health sector. In the public health system, the adoption of AI offers a blueprint for the flow of research that focuses on different aspects of the adoption of AI in the public system.10

The efficacy of AI in improving the aspect of health service administration has proved. AI will likely be included in routine clinical care soon. However, concerns regarding the ethical and laws implications of introducing AI in healthcare have been expressed. These concerns include the risk of bias, lack of clarity for some AI algorithms, privacy issues for data used for AI model training, and security issues and AI implementation responsibilities in clinical settings. There are some of the ethical problems faced by AI clinical applications. They are safety, efficacy, privacy, information and consent, the right to decide, “the right to try,” the costs, and access.13

The application of AI is the right way for the development in the health sector, especially Health Service. However, there will be an impact on AI application, such as a system error and ethical issues and regulations.

In the sense of health, moderate images, text from patient reports on medical conditions, diagnosis and care, and cost reimbursement codes may be included, but not limited only. Inaccurate and under-representative training data sets for AI models, as discussed previously, can cause bias, misleading predictions, adverse events, and even large-scale discrimination.8

While the deep learning model's performance in the analysis of medical image and clinical risk prediction has been highly promising, this model is also difficult to interpret and explain. The difficulty raises certain problems in the world of medicine, where transparency and the ability to explain clinical decisions are very important.8

Physicians need to consider the cause and effect of medical problems, and the techniques and models used to help the decision-making process of the doctor, in the case of AI. Besides the clarification issues discussed in the previous section, the potential for AI applications’ Autonomous functions and the possible susceptibility to accidental or malicious tampering of these applications to produce unsafe results may present a major obstacle for doctors to recognize AI in their medical practice.8

Accountability is the fourth and the last part of our proposal for governance. This begins with the development of the AI model and extends to the extent that the model is used in clinical care and, ultimately, retirement. This scope includes many players, including developers of software, government officials, health care, medical practitioners, and advocacy for patients groups.14

The use of AI in health service is not only for increasing clinical capacity but also for administrative capacity. AI can be conducted with telemedicine for distributing health-related services and information by utilizing communication technology, assuming the implementation of telemedicine will greatly affect the business model in hospitals.15

The development of the health sector currently does not grow maximally. A promising field of AI application is the public health service. Although implementation is slow, its use continues to increase because of the potential cost savings at the core of health care delivery, AI will replace face-to-face experiences. In many respects, the use of AI has been generally considered possible to redesign the health sector.

The virtual branch concerns the center of AI, including the study of in-depth knowledge processing for health management systems, electronic health records, and the active supervision of doctors in their medical decisions.16 The use of AI systems to assist doctors in patient diagnosis, in particular, has recently received research attention. In the future, this AI can detect various other diseases, when updated with more sophisticated technology and equipped with more complete data.

The technology in healthcare has clear benefits, such as improving patient management choices and outcomes and potential secondary benefits such as fewer referrals, reducing costs, and saving time. This can also help reduce professional isolation and promote recruitment and retention in rural areas.17 In turn, this can contribute to a more equitable system of global health care in poor-resource settings in high- and low-income countries.

As all new scientific techniques, biomedical ethical principles must be obeyed by AI in healthcare applications. They are autonomy, benefit, non-crime, and justice. They are manifested as consent, privacy, and safety, voluntary participation, autonomous decision making, etc., which should be considered and practiced in any implementation.9