**15. Conclusions**

The medical doctor is an important link in the AI ecosystem in healthcare. The profession has a significant role in the data generation that forms the basis for diagnosis, management, and treatment. Doctor is also the ultimate user and beneficiary of the AI platforms. Data generation at the point of care and the comprehensive database for development of AI are heavily dependent on healthcare profession. For us to understand the true impact of AI, adverse and unwanted effects and complications of all interventions must be recorded at the point of care. However much the promise of intelligent machines performing the duties of the human, at least, as of today and the foreseeable future, the personal touch and empathy provided by the doctors is irreplaceable. Further studies are needed to fully evaluate the potential and limitations of AI in healthcare. The medical profession instead of viewing the AI as a competitor, should collaborate and support actively this technology.

Artificial Intelligence is being promoted as the next major advance in healthcare delivery. AI is here to stay because of the promise, it offers across multiple fields of medicine. For the world to be able to see the true benefits of AI, new technologies using AI must also be developed and validated like any other technology in medicine. Development of AI based technologies must start with thorough evaluation of appropriate use cases, understanding of user needs, whether the user is a patient or the doctor, and comprehensive assessment of risks and benefits. Because the outcome of any AI driven tool depends so much on the data used for training the algorithms, adequate care must be taken in collecting, curating, and use of data. Governing and regulatory bodies and standard committees must work with technical matter experts and intended users (both physicians and patient advocates) to set policies and guidance that define the boundaries of use of this technology and establishing guardrails that prevent misuse or abuse of AI.
