Literature review shows advancements in AI and robotics enhance patient outcomes in healthcare, highlighting ethical challenges.
Background: The integration of artificial intelligence (AI) and robotics into healthcare has the potential to transform various medical applications, enhancing operational efficiency, precision, and patient outcomes. However, ethical considerations surrounding these technologies remain a critical concern. Methods: This paper conducts a comprehensive literature review, examining the current applications of AI and robotics in healthcare, including diagnostics, treatment, rehabilitation, and patient care. Key methodologies analyzed include machine learning algorithms, natural language processing, and robotic-assisted surgical techniques. The review synthesizes findings from recent studies and evaluates the efficacy and challenges associated with these technologies. Results: The analysis reveals significant advancements in AI-driven diagnostic tools, particularly in medical imaging, where algorithms enhance accuracy and reduce human error. Robotics has also shown promise in surgical procedures, rehabilitation, and elder care, improving patient engagement and operational workflows. Despite these advancements, challenges such as data privacy, algorithm transparency, and the need for healthcare professionals’ training in AI technologies persist. Conclusion: The future of medical robotics and AI appears promising, with the potential to revolutionize healthcare delivery. However, addressing ethical, operational, and educational challenges is crucial for successful integration. Ongoing collaboration among technologists, healthcare providers, and policymakers will be essential to navigate these complexities and enhance patient care.
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Remas ghazi almatri (2024) studied this question.
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