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A Comprehensive Review of AI in Healthcare: Exploring Neural Networks in Medical Imaging, LLM-Based Interactive Response Systems, NLP-Based EHR Systems, Ethics, and Beyond
  • +1
  • Neha Sathe,
  • Vaibhav Deodhe,
  • Yash Sharma,
  • Anand Shinde
Neha Sathe
School of Computer Engineering and Technology MIT World Peace University Pune
Vaibhav Deodhe
School of Computer Engineering and Technology MIT World Peace University Pune

Corresponding Author:[email protected]

Author Profile
Yash Sharma
School of Computer Engineering and Technology MIT World Peace University Pune
Anand Shinde
School of Computer Engineering and Technology MIT World Peace University Pune

Abstract

The AI-based technologies used in healthcare systems have witnessed significant growth and innovation, as this growth is attributed to innovations in AI and rise in data collection in the healthcare sector. This survey paper provides a comprehensive overview of the diverse technological advancements reshaping the healthcare landscape. The reviewed topics include Medical Image Interpretation using Deep Learning, Generative AI-based Large Language Models (LLMs), Natural Language Processing for Healthcare Records to give a sense of what AI based systems look like in healthcare. For each of these topics, we've delved into their technical aspects and their applications. Through an overview of these cutting-edge technologies, this research aims to shed light on their current state, challenges, and potential implications for the future of healthcare. From enhancing diagnostics to improving patient care and accessibility, AI is poised to play pivotal roles in shaping the healthcare industry for years to come. Furthermore, this survey also delves into the ethical considerations surrounding these technologies.
26 Dec 2023Submitted to TechRxiv
02 Jan 2024Published in TechRxiv