Abstract
This article discusses the potential of artificial intelligence (AI) in medicine to address complex challenges, from personalized treatment to difficult diagnoses. The use of AI in medicine has exhibited remarkable performance in various fields, including evidence-based clinical decision support, AI-assisted surgery, and electronic health records analysis. However, challenges remain, such as data silos and potential biases in AI training data. Despite these challenges, AI technology has the potential to transform healthcare in significant ways, and ongoing research and development, collaborations among stakeholders, and innovative initiatives can help ensure its safe and ethical use in medicine and healthcare.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: Qapsule: Queen's Undergraduate Health Sciences Journal
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
