Artificial Intelligence in Healthcare: A Fusion of Technologies  

作　　者：Eric Ayintareba Akolgo Dennis Redeemer Korda Emmanuel Oteng Dapaah Eric Ayintareba Akolgo;Dennis Redeemer Korda;Emmanuel Oteng Dapaah(Department of Computer Science, Regentropfen University College, Bolgatanga, Ghana;Department of Computing & Information Technology, Bolgatanga Technical University, Bolgatanga, Ghana;Department of Mathematics/ICT, E.P College of Education, Bimbila, Ghana)

机构地区：[1]Department of Computer Science, Regentropfen University College, Bolgatanga, Ghana [2]Department of Computing & Information Technology, Bolgatanga Technical University, Bolgatanga, Ghana [3]Department of Mathematics/ICT, E.P College of Education, Bimbila, Ghana

出　　处：《Journal of Computer and Communications》2024年第12期116-133,共18页电脑和通信(英文)

摘　　要：Purpose: This study examines the transformative impact of artificial intelligence (AI) in healthcare, focusing on its applications in medical diagnosis, drug discovery, surgery, and disease management while addressing ethical, technological, and social concerns. Method: A comprehensive literature review synthesizes research on AI applications, including AI-assisted diagnosis, drug discovery, robot-assisted surgery, stroke management, and artificial neurons. Findings: AI has enabled significant breakthroughs in healthcare, enhancing outcomes in diagnostics, personalized treatments, and surgical procedures. Despite its promise, challenges such as privacy, safety, and equitable access remain critical concerns. Research Limitations: The study relies on existing literature and lacks empirical validation of AI models, with its scope limited by the rapid evolution of AI technologies. Social Implications: The integration of AI raises concerns about privacy, patient rights, and equitable access, particularly in underserved regions, potentially exacerbating healthcare disparities. Practical Implications: The study urges healthcare practitioners to adopt AI tools for improved diagnostics and treatments while advocating for regulatory frameworks to ensure ethical and safe AI integration. Originality: This study offers a comprehensive review of AI’s transformative role in healthcare, emphasizing ethical considerations and providing actionable insights for researchers and practitioners.Purpose: This study examines the transformative impact of artificial intelligence (AI) in healthcare, focusing on its applications in medical diagnosis, drug discovery, surgery, and disease management while addressing ethical, technological, and social concerns. Method: A comprehensive literature review synthesizes research on AI applications, including AI-assisted diagnosis, drug discovery, robot-assisted surgery, stroke management, and artificial neurons. Findings: AI has enabled significant breakthroughs in healthcare, enhancing outcomes in diagnostics, personalized treatments, and surgical procedures. Despite its promise, challenges such as privacy, safety, and equitable access remain critical concerns. Research Limitations: The study relies on existing literature and lacks empirical validation of AI models, with its scope limited by the rapid evolution of AI technologies. Social Implications: The integration of AI raises concerns about privacy, patient rights, and equitable access, particularly in underserved regions, potentially exacerbating healthcare disparities. Practical Implications: The study urges healthcare practitioners to adopt AI tools for improved diagnostics and treatments while advocating for regulatory frameworks to ensure ethical and safe AI integration. Originality: This study offers a comprehensive review of AI’s transformative role in healthcare, emphasizing ethical considerations and providing actionable insights for researchers and practitioners.

关 键 词：Machine Learning Medical Research Robot-Assisted Surgery Artificial Neurons AI Ethics AI Security AI-Assisted Medical Diagnosis Drug Discovery 

分 类 号：TP3[自动化与计算机技术—计算机科学与技术]