In the rapidly evolving landscape of healthcare, the integration of Artificial Intelligence (AI) has become a pivotal strategy in enhancing data security and managing cyber threats. The paper titled "AI Shield: Leveraging Artificial Intelligence to Combat Cyber Threats in Healthcare" explores the application of AI technologies to fortify cybersecurity measures within the healthcare sector. As healthcare systems increasingly rely on digital platforms for patient data storage and telemedicine, they become prime targets for cyber-attacks. This study examines the effectiveness of AI-driven tools in detecting, preventing, and responding to such threats with greater accuracy and speed than traditional cybersecurity methods. The research utilizes a combination of machine learning models to analyze patterns and predict potential breaches based on anomalies in data access and usage. The paper AI technologies, showcasing significant improvements in threat detection rates and reductions in response times. Furthermore, it discusses the ethical considerations and challenges in deploying AI solutions, such as data privacy and the potential for AI-driven decisions to affect patient care. The findings indicate that AI can act as a robust shield against cyber threats, thereby safeguarding sensitive healthcare data and contributing to the overall resilience of healthcare information systems.
Artificial Intelligence (AI), Cybersecurity, Healthcare, Machine Learning, Natural Language Processing (NLP).
IRE Journals:
Joseph Jeremiah Adekunle , Anita Ogah Sodipe , Dhikrahllah Ayanfe Abdulwahab , Chinonso Cynthia Ugwuozor , Stanley Ogbonna Ibeneme; Michael Oluwatobiloba Binuyo
"AI Shield: Leveraging Artificial Intelligence to Combat Cyber Threats in Healthcare" Iconic Research And Engineering Journals Volume 8 Issue 3 2024 Page 184-195
IEEE:
Joseph Jeremiah Adekunle , Anita Ogah Sodipe , Dhikrahllah Ayanfe Abdulwahab , Chinonso Cynthia Ugwuozor , Stanley Ogbonna Ibeneme; Michael Oluwatobiloba Binuyo
"AI Shield: Leveraging Artificial Intelligence to Combat Cyber Threats in Healthcare" Iconic Research And Engineering Journals, 8(3)