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@article{176662,
        author = {ASHISH MODI},
        title = {Survey on AI and Healthcare: Public Opinion on AI-Driven Treatment Recommendations},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {11},
        pages = {6173-6178},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=176662},
        abstract = {The integration of artificial intelligence (AI) in healthcare has revolutionized various aspects of patient care, including diagnostics, treatment recommendations, and personalized medicine. AI-powered systems are increasingly being utilized to analyze medical data, assist healthcare professionals in making accurate diagnoses, and provide tailored treatment plans based on vast datasets. Despite these advancements, public perception of AI-driven treatment recommendations remains complex and multifaceted.
This study aims to explore public opinion regarding AI in healthcare, with a particular emphasis on AI-assisted treatment recommendations. To gain insights into societal attitudes, a survey was conducted to measure levels of trust, concerns, and overall acceptance of AI in clinical decision-making. The results reveal a generally positive outlook on AI’s potential to enhance healthcare outcomes, improve efficiency, and support medical professionals in delivering high-quality care. However, significant concerns remain regarding data privacy, the transparency of AI-driven decisions, and broader ethical implications. Many respondents expressed hesitation about fully relying on AI for critical health decisions, highlighting the need for greater explain ability and regulatory oversight.
These findings underscore the importance of addressing public apprehensions through improved transparency, ethical AI development, and clear communication regarding AI’s role in healthcare. As AI continues to evolve, fostering trust through patient education, robust data security measures, and physician oversight will be crucial in ensuring the successful integration of AI-driven treatment recommendations into mainstream medical practice.},
        keywords = {Artificial Intelligence (AI), Healthcare, Treatment Recommendations, Public Perception, AI Acceptance, Ethical Considerations, Data Privacy, AI-Assisted Healthcare},
        month = {April},
        }