Application Of Artificial Intelligence (AI) Algorithms and Techniques in Healthcare at Polyclinic Yawe Raphe in Democratic Republic of Congo

Abstract

Globally, Artificial Intelligence (AI) is enhancing medical practices, clinical procedures and patient care. The world first learned about artificial intelligence's capacity for transformation in 1950. However, early AI models had difficulties that at first prevented them from being widely used in the medical area, particularly in underdeveloped nations This study investigated how AI technologies are currently in use, their effects on patient outcomes and hospital productivity. The study evaluated AI's potential to enhance resource management, diagnosis, and therapy while also pointing up implementation issues. Based on theoretical models, the study emphasised how AI can revolutionise healthcare in environments with limited resources. The literature reviewed AI algorithms used in public health, radiography, cardiology, surgery, diagnosis and treatment, emphasising on how AI minimises human error increases accuracy, improves patient outcomes and expedites administrative chores. Using Polyclinique Yawe Raphe in the Democratic Republic of the Congo as a case study, it highlighted AI's potential to alleviate healthcare inequalities and fortify institutions in underdeveloped nations. The study used both qualitative and quantitative methods. A purposive, convenient and cluster sampling were used to choose a sample of 300 people. Both statistical representation and thematic evaluation were part of the data processing process. Strict adherence to ethical guidelines was maintained. Data on the use of artificial intelligence (AI) in healthcare at Polyclinique Yawe Raphe in the Democratic Republic of the Congo outlined awareness levels, perceived benefits and concerns of AI in radiology, cardiology, surgery, public health and community medicine based on the opinions of 300 respondents, including nurses, patients, administrators and physicians. The results showed that professionals are highly aware of AI, believe technology can improve services and have concerns about data protection and human contact. The awareness, attitudes and effects of integrating artificial intelligence (AI) at Polyclinic Yawe Raphe in the Democratic Republic of the Congo were examined. The results showed a high level of awareness among healthcare professionals, optimism over AI's potential to improve patient care and diagnostics, and a number of important concerns, including data privacy, job displacement and the loss of human interaction. The study comes to the conclusion that although AI has the potential to revolutionise healthcare delivery, successful integration necessitates ongoing training, robust data governance and regulations that support human expertise.