Abstract
The healthcare sector now places a lot of emphasis on providing patients with personalized care that is catered to their unique requirements and features. A significant force behind the development and use of customized healthcare is artificial intelligence (AI). This essay examines the use of AI in personalized healthcare and how it can affect several facets of healthcare provision. The study starts out by talking about how AI is being used in diagnostics, emphasizing how machine learning algorithms and the examination of various datasets can improve diagnostic accuracy. It goes into more detail about how AI can be used to create tailored treatment plans, utilizing patient-specific data and predictive analytics to maximize therapeutic results and reduce side effects. Examined are the ethical issues surrounding AI in customized healthcare, such as data privacy, algorithmic bias, and the value of responsibility and openness. The integration of AI into clinical practice is also covered in the study, along with prospects for improving decision-making, streamlining workflow, and overall healthcare delivery effectiveness. The healthcare sector now places a lot of emphasis on providing patients with personalized care that is catered to their unique requirements and features. A significant force behind the development and use of customized healthcare is artificial intelligence (AI). This essay examines the use of AI in personalized healthcare and how it can affect several facets of healthcare provision. The study starts out by talking about how AI is being used in diagnostics, emphasizing how machine learning algorithms and the examination of various datasets can improve diagnostic accuracy. It goes into more detail about how AI can be used to create tailored treatment plans, utilizing patient-specific data and predictive analytics to maximize therapeutic results and reduce side effects. Examined are the ethical issues surrounding AI in customized healthcare, such as data privacy, algorithmic bias, and the value of responsibility and openness. The integration of AI into clinical practice is also covered in the study, along with prospects for improving decision-making, streamlining workflow, and overall healthcare delivery effectiveness.
 
Sign-in/Register to access full text options 
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: International Journal of Multidisciplinary Sciences and Arts
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.
