Web of Science-based Bibliometric Analysis of AI on Healthcare

The incorporation of Artificial Intelligence (AI) into the healthcare sector is revolutionizing various areas, including clinical practices, administrative functions, and research. AI technologies are enhancing operational effectiveness, improving diagnostic processes, and tailoring treatment plans through the use of virtual health assistants, predictive analytics, and machine learning techniques. AI is also bolstering security and enabling better interoperability, especially when combined with blockchain technology. In the fields of radiology, pathology, and imaging, AI has improved the accuracy of diagnoses, while AI-assisted robotic surgeries provide high precision and less invasive methods. AI also enhances telemedicine services, facilitating remote consultations and ongoing patient monitoring. Nonetheless, there are challenges such as cybersecurity concerns, ethical dilemmas including algorithmic bias, and the necessity for regulatory guidelines. Furthermore, the use of AI is broadening in areas such as mental health services, hospital management, and drug development.