Publication | Open Access
Generative AI in Medicine and Healthcare: Promises, Opportunities and Challenges
347
Citations
24
References
2023
Year
Artificial IntelligenceHealthcare Monitoring SystemsChatbotEngineeringMachine LearningCommunicationComputational MedicineBiomedical Artificial IntelligenceData ScienceMedical Expert SystemHealth CommunicationDigital HealthAi HealthcarePublic HealthGenerative Artificial IntelligenceGenerative ModelsComputer ScienceMedical Language ProcessingGenerative Ai ApplicationsTrustworthy AiMedical EthicsHuman-ai InteractionGenerative AiMedicineHealth InformaticsConversational Artificial Intelligence
Generative AI (artificial intelligence) refers to algorithms and models, such as OpenAI’s ChatGPT, that can be prompted to generate various types of content. In this narrative review, we present a selection of representative examples of generative AI applications in medicine and healthcare. We then briefly discuss some associated issues, such as trust, veracity, clinical safety and reliability, privacy, copyrights, ownership, and opportunities, e.g., AI-driven conversational user interfaces for friendlier human-computer interaction. We conclude that generative AI will play an increasingly important role in medicine and healthcare as it further evolves and gets better tailored to the unique settings and requirements of the medical domain and as the laws, policies and regulatory frameworks surrounding its use start taking shape.
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