SYNERGIZING AI, IOT, AND NANOTECHNOLOGY FOR INNOVATIVE MEDICAL DIAGNOSTICS AND THERAPEUTIC SOLUTIONS

Background: The three technologies mentioned above, Artificial Intelligence (AI), the Internet of Things (IoT), and Nanotechnology, are still believed to transform healthcare diagnosis and therapies in the future. These technologies promise to improve accuracy, workflow, and patient-centered practices, but barriers to implementing them persist: privacy, regulation, and technical skills. Objective: This research thus sought to establish the level of awareness and understanding of the professionals concerning AI, IoT, & nanotechnology in Healthcare; The level of readiness of these intelligent technologies in the healthcare delivery systems; The probable probability level of how widely spread across the health diagnostic and healing solutions the AI, IoT & nanotechnology may likely penetrate the field. Methods: A cross-sectional research design was adopted for this study because the study targeted a large population with a large sample size of 250 respondents who are health care practitioners, researchers, and information technology experts. Quantitative data were used to describe the findings with frequencies and percentages. In contrast, inferential data (Regression & Chi-square tests) were used to test adoption likelihood, age, and familiarity hypotheses. Hypothesis testing using normality and reliability tests was used to confirm the data. Results: Most respondents had a high awareness of AI and IoT and a positive attitude towards its ability to improve diagnostics. The reliability of the questionnaire was determined by Cronbach's Alpha, which was high (1. 0). Normality tests showed that some variables, like customers' Confidence in tackling healthcare issues, were not normally distributed. The main issues revealed include privacy, legal issues, and resource constraints, especially technical skills. Self-confidence and readiness to act were also age-dependent, with 18 – 29-year-old photographers showing varied self-confidence compared to their older colleagues. Conclusion: All three innovation systems, AI, IoT, and nanotechnology, are more appreciated in the context of Healthcare, and there is a high willingness to change medical diagnosis and therapy. However, areas such as privacy, regulation, and expertise form some of the barriers that need to be resolved to enable the penetration of the technology to deeper and more parts of society. Ultimately, this research shows the need for continued and focused scholarship and educational efforts geared toward successfully mainstreaming these technologies in healthcare