Conclusion

In conclusion, the integration of AI into modern medicine and healthcare facilities marks a very pivotal moment in healthcare, revolutionizing patient care, operational efficiency, and medical discovery. As seen in this paper, AI has proven to be an immense asset to healthcare by enhancing diagnostics through image analysis, resource allocation, and accelerating the process of drug research. Consequently, AI use in healthcare does pose the risk of various social and ethical implications. Things like algorithm bias could potentially become a problem when using AI in healthcare. Algorithm bias is an instance where non-diverse datasets become the standard of research and diagnosing, resulting in the increase of health disparities and also ethical failure. Ultimately, the use of AI in healthcare could be a revolutionary feat, or potentially a means of disrupted healthcare practices. Technology has the ability to solve some of the most complex medical problems, but only when used with caution and is heavily monitored by various ethical frameworks. Only through this approach built on the foundation of ethics and integrity, will AI truly be able to enhance the integrity, humanity, and effectiveness of healthcare.