AI in Healthcare: Revolutionizing Diagnosis and Treatment through Machine Learning

Authors

  • Xiang Chen Boston University, Massachusetts, USA

Abstract

Artificial Intelligence (AI) and machine learning (ML) are revolutionizing healthcare by significantly improving diagnostic and treatment processes. AI enhances diagnostic accuracy through advanced image analysis, predictive analytics, and pattern recognition, leading to earlier and more precise disease detection. In treatment, AI enables personalized medicine, speeds up drug discovery, and supports precise robotic surgeries. Despite these advancements, challenges such as data privacy, ethical concerns, and regulatory needs must be addressed. This paper examines the transformative impact of AI in healthcare, highlighting its potential benefits and the hurdles to its effective implementation.

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Published

2024-07-24

How to Cite

Chen, X. (2024). AI in Healthcare: Revolutionizing Diagnosis and Treatment through Machine Learning. MZ Journal of Artificial Intelligence, 1(2). Retrieved from http://mzjournal.com/index.php/MZJAI/article/view/259