Artificial Intelligence (AI) refers to the simulation of human intelligence by machines, particularly computer systems. It includes tasks like problem-solving, decision-making, and pattern recognition. In clinical diagnosis, AI enhances accuracy by analyzing large datasets, recognizing patterns in medical images, and predicting disease outcomes. AI assists doctors in diagnosing conditions such as cancer, heart disease, and neurological disorders more efficiently.

However, the use of AI in healthcare poses potential privacy threats. The vast amount of sensitive data processed by AI systems, such as medical histories and genetic information, could be vulnerable to hacking or misuse if not properly secured. Additionally, the lack of transparency in AI decision-making raises concerns about data ownership and consent, emphasizing the need for stringent regulations to protect patient privacy. Balancing AI’s benefits with robust security is essential for ethical healthcare innovation.

Artificial Intelligence (AI) refers to the simulation of human intelligence by machines, particularly computer systems. It includes tasks like problem-solving, decision-making, and pattern recognition. In clinical diagnosis, AI enhances accuracy by analyzing large datasets, recognizing patterns in medical images, and predicting disease outcomes. AI assists doctors in diagnosing conditions such as cancer, heart disease, and neurological disorders more efficiently.

However, the use of AI in healthcare poses potential privacy threats. The vast amount of sensitive data processed by AI systems, such as medical histories and genetic information, could be vulnerable to hacking or misuse if not properly secured. Additionally, the lack of transparency in AI decision-making raises concerns about data ownership and consent, emphasizing the need for stringent regulations to protect patient privacy. Balancing AI’s benefits with robust security is essential for ethical healthcare innovation.