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1.
Journal of Medical Postgraduates ; (12): 1080-1083, 2019.
Article in Chinese | WPRIM | ID: wpr-818144

ABSTRACT

The introduction of artificial intelligence into the medical field is also facing social ethical challenges while promoting changes in the field of health services. To realize the healthy development of medical artificial intelligence, we must consider the ethical issues inherent in the application of artificial intelligence technology in medical services. The article analyzes the ethical issues brought about by medical artificial intelligence from the aspects of security, doctor’s principal status, doctor-patient relationship, and fair benefit. By implementing special supervision, clarifying the principal status of doctors, and strengthening ethical protocols, the application of artificial intelligence in medical services will be guided to promote artificial intelligence to better improve the service capabilities and quality of healthcare system.

2.
Journal of the Korean Medical Association ; : 136-139, 2019.
Article in Korean | WPRIM | ID: wpr-766575

ABSTRACT

Recent advances in new technologies such as artificial intelligence, big data, and virtual reality have led to significant innovations in various industries. Artificial intelligence, particularly in applications using deep learning algorithms, has shown performance superior to that of humans in several contexts. Accordingly, many researchers and companies have tried to apply artificial intelligence to the healthcare system, with applications including image interpretation, voice recognition, clinical decision support, risk prediction, drug discovery, medical robotics, and workflow improvement. However, several important technical, ethical, and social barriers must be overcome, such as overfitting, lack of interpretability, privacy, security, and safety. Doctors should be prepared to play a key role in applying artificial intelligence through the full course of development, validation, clinical performance, and monitoring.


Subject(s)
Humans , Artificial Intelligence , Decision Support Systems, Clinical , Delivery of Health Care , Drug Discovery , Learning , Machine Learning , Privacy , Robotics , Voice
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