Citation :

Keya Pan, 2025. "Assessing the Impact of Artificial Intelligence in Enhancing Cybersecurity Measures for Patient Data Protection" ESP International Journal of Advancements in Science & Technology (ESP-IJAST)  Volume 4, Issue 1: 43-45.

Abstract :

This paper discusses the potential contribution of Artificial Intelligence (AI) to Cybersecurity: How can it be useful for securing healthcare patient data? ML, NLP, AD(shell 2017) for defending cyber threats AI techniques such as machine learning and natural language processing (NLP), anomaly detection are the best helpful in detecting and protecting from cyber threats. [1] [8] The work evaluates these technologies for their suitability in the context of real-time threat discovery, automated incident response and data confidentiality protection. Obstacles include how to maintain data privacy, ongoing training of AI models and difficulties that come with the high cost of deployment. Recommendations on how to implement AI in healthcare cybersecurity are outlined and emphasize the importance of effective policies as well as inexpensive solutions. This study demonstrates the transformative promise of AI evasion of privacy challenges associated with patient information, as well as current limitations and future directions for improvement.

References :

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Keywords :

AI, Cyber Threats, Patient Data Security Safety Net Provider IT Network The Future of Healthcare Tech Section: Opinion Artificial Intelligence, Cybersecurity.