AI in Healthcare

Authors

  • Dr. Uma Devi A Assistant Professor, Department of Chemistry, St. Joseph’s College of Engineering, Chennai, India. Author
  • Naveen Raj K Artificial Intelligence and Machine Learning, UG, St. Joseph’s College of Engineering, Chennai, India Author
  • Mugilan M Artificial Intelligence and Machine Learning, UG, St. Joseph’s College of Engineering, Chennai, India. Author
  • Supriya Latha Ananthan Artificial Intelligence and Machine Learning, UG, St. Joseph’s College of Engineering, Chennai, India. Author
  • Neha S N Artificial Intelligence and Machine Learning, UG, St. Joseph’s College of Engineering, Chennai, India. Author
  • Sutharsan T Artificial Intelligence and Machine Learning, UG, St. Joseph’s College of Engineering, Chennai, India. Author

DOI:

https://doi.org/10.47392/IRJAEM.2025.0180

Keywords:

AI in Healthcare, Telemedicine, Predictive Health Analytics, Blockchain EHR, AI-assisted Robotic Surgery

Abstract

Artificial Intelligence (AI) is revolutionizing healthcare by enhancing diagnostics, treatment planning, and patient care. This article provides an overview of the use of AI in healthcare by means of Electronic Health Records (EHRs), AI symptom checkers, drug discovery, predictive health analysis, and telemedicine. AI has significantly increased efficiency, reduced medical errors, and offered personalized treatments. But present AI-enabled healthcare systems lack some features such as the lack of physical examination, cybersecurity, poor internet connectivity, and medical miscommunication via telemedicine. The above can be addressed through the implementation of introduction of blockchain-based electronic health records, speech-to-text technology enabled by AI, remote diagnostic kits, and hybrid telemedicine. In addition, AI-enabled robotic surgeries ensure precision with minimal human error and reduced recovery time. The technical roadmap offers an AI-based, scalable healthcare solution that combines cloud computing, edge AI, and blockchain security to make it interoperable without any disruption. With the surmounting of the existing constraints, AI can potentially reshape healthcare accessibility, affordability, and efficiency with improved patient outcomes

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Published

2025-04-09