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@article{188675,
        author = {Ashish Kumar and Prof. Rajesh Tyagi},
        title = {AI in Healthcare: Opportunities and Challenges},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {7},
        pages = {2774-2779},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=188675},
        abstract = {Artificial Intelligence (AI) has emerged as one of the most transformative technologies in healthcare, enabling new strategies for prognosis, choice support, patient monitoring, hospital control, and personalised care. Its capability to analyze enormous datasets, understand hidden patterns, and aid clinical specialists guarantees main improvements in performance, accuracy, and accessibility. Drawing upon current literature and the foundational insights from Iliashenko et al., this evaluation paper synthesizes the present-day panorama of AI in healthcare, explores technological tendencies, evaluates opportunities and risks, and describes the demanding situations ahead. The overview in addition analyzes sociotechnical, ethical, infrastructural, and regulatory barriers that could restrict the safe and equitable adoption of AI technologies in scientific settings.},
        keywords = {Artificial Intelligence in Healthcare, Medical AI, Diagnostic Support Systems, Clinical Decision Support, Healthcare Automation, Precision Medicine, Medical Image Analysis, Telemedicine, Remote Monitoring,Healthcare Data Privacy, Ethical AI, AI Governance, Healthcare Innovation, Machine Learning in Medicine, Deep Learning, Hospital Workflow Optimization, Digital Health Technologies, AI Regulation, Cybersecurity in  Healthcare, Healthcare Informatics, AI Adoption Barriers, Medical Technology, Health Data Analytics.},
        month = {December},
        }