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Ans. Artificial intelligence (AI) has significantly impacted various sectors, and the healthcare sector is no exception. AI is revolutionising the healthcare sector by improving diagnostic accuracy, streamlining administrative processes, and enhancing patient care. However, along with these advances, it also raises important ethical concerns that need to be addressed.
In healthcare, Artificial intelligence enhances diagnostic and predictive capabilities. AI algorithms help doctors by analysing medical images with high precision, often detecting anomalies such as tumours or fractures more accurately than humans. It also uses predictive analytics to process large amounts of patient data to identify major risks for certain conditions and enable early intervention and personalised treatment. Additionally, AI-driven chatbots and virtual assistants provide patients with real-time information and support, which reduces the burden on healthcare professionals.
Despite these advancements, Artificial intelligence in healthcare brings several ethical concerns. The first one is Data privacy, which is a major issue, as AI systems need extensive patient data to function effectively. Ensuring robust data protection and obtaining informed patient consent are crucial to safeguarding sensitive information. Another significant concern is bias in AI algorithms. If the data used to train AI lacks diversity, it may produce biased outcomes, leading to disparities in healthcare delivery. For instance, an AI system trained mainly on data from one demographic group may not perform accurately for individuals from different backgrounds, exacerbating existing healthcare inequalities.
Additionally, AI systems often have complex, opaque decision-making processes, making it hard for healthcare providers and patients to understand how conclusions are reached. This lack of transparency can undermine trust in AI-driven healthcare solutions.
In conclusion, while AI has the potential to transform healthcare, addressing its ethical concerns is crucial. By implementing strong data protection measures, ensuring diverse training data, and promoting transparency and accountability, the healthcare industry can harness AI’s benefits while protecting patient rights and promoting equitable care.
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