APPLICATION AND BENEFITS OF ARTIFICIAL INTELLIGENCE AMONG HEALTHCARE WORKERS IN EDO STATE UNIVERSITY TEACHING HOSPITAL

The aim of this study was to be able to access the knowledge of healthcare workers on the application and benefits of Artificial Intelligence in Edo State University Teaching Hospital. Three specific objectives and research questions guided the study. The researcher used a self-structured questionnaire and 30 healthcare workers for the data collection. Data obtained were described and analyzed using data analysis tool such as frequency distribution tables and percentages. From the findings, majority of respondents agreed that AI analyzes medical images like X-rays, MRIs, CT scans, and mammograms (60.0%). and that AI processes extensive patient data, including medical history, lab results, and genetic information, to aid early disease diagnosis (43.3%). Most of the respondents agreed that AI analyzes biological data to identify drug candidates efficiently (73.3%). Most of the respondents agreed that AI creates personalized treatment plans based on patients' medical history, genetics, and lifestyle (83.3%). Most of the respondents were Undecided that AI chatbots and virtual health assistants engage with patients, answering questions and offering basic medical advice (53.3%). Of 30 participants, majority agreed that Ai creates personalized treatment plans based on patient data (50.0%). majority were also undecided that Ai-integrated robots enhance surgical precision and dexterity (83.3%). Most of the respondents Strongly agreed that AI-enabled wearables monitor patients’ health metrics remotely (53.3%). lastly, majority of the respondents agreed that AI optimizes resource allocation, including staff, equipment and inventory management (23.3%). Most of the respondents agreed that There is a high level of understanding of artificial intelligence (50.0%). Majority undecided that Hospital leadership support for AI integration in healthcare (66.6%). The study concluded that Artificial intelligence can be used in different aspects of the health sector and even by healthcare workers.