Risks and Challenges of Using Ai In Healthcare

Artificial intelligence (AI) is increasingly utilized in analyzing complex and large-scale data for producing results without intervention of human in various healthcare contexts, such as genomics, bioinformatics, and analysis of image. Given technology give opportunities that are significant in diagnosis, treatment, imaging, analysis of the risk, management of the lifestyle, management of health information, and health assistance. AI is an topic that is used increasingly in many fields, more usually in medicine, which leads to the transformation of the diagnostic system, to make better the development of new drugs, to make the quality improvements for medical services and patient care in general and to reduce costs. Every day stories trend in the media about AI applications and their huge potential for medical practice revolutionizing. However, no matter of the big promises for electronic health records in the early 21st century, the excitement around AI has sometimes leads to focused view of its capabilities while ignoring challenges of technology, and safety of humans and ethical concerns which must be really considered.While AI presents significant opportunities, it also introduces challenges and pitfalls, particularly concerning safety and ethical issues. This article reviews AI in healthcare, emphasizing its implications for safety and ethics. Key strategies for ensuring safer AI technology include safest design, safety reserves, mechanisms of safe fail, and procedural safeguards, while recognizing the importance of addressing cost, risk, and uncertainty. Additionally, the article identifies three critical ethical issues: transparency and privacy, dynamic information, consent, ownership, discrimination. The article suggests that protocols should be established and shared with all stakeholders to mitigate these challenges and clear guidance should be given.