AI in Healthcare: Leveraging Machine Learning and ChatGPT for Medical Innovation
DOI:
https://doi.org/10.70445/gtst.1.3.2025.48-64Keywords:
AI, Machine learning, Healtcare, Diagnostics, Personalized treatment , Aerodynamics, Health InformaticsAbstract
With Artificial Intelligence (AI) and machine learning (ML) in healthcare, the delivery of the medical services to patients is being transformed, enhancing patient outcomes and operational efficiency. In this paper, I discuss how AI can be used to change the healthcare system and how it can be applied to diagnosing, personalized care, and efficiency in administration. Also discussed is the role of aerodynamics, especially concepts of efficiency and optimization that can also be applied in medical technologies and logistics of the health-care sector. With the help of health informatics and the power of AI, data can increasingly be managed more accurately and involve predictive analytics, and cybersecurity is becoming even more paramount in an age of digital health to secure sensitive patient information. Healthcare in the future would become more personal, secure, and efficient by uniting the elements of AI, health informatics, and cybersecurity. With this multidisciplinary approach, there is a possibility of transforming the landscape in healthcare, as it presents novel methods in approaching contemporary problems in patient care and management.
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Copyright (c) 2025 Ali Hussain (Author)

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.