Name: Eyad Mohammed Ali Shelaiayah
nurse
Name: Aisha barakah albeladi
Nursing Specialist
Name: Faris Ahmad Mohammed Dakam
nurse
Name: Samah hatiem hasan hakeem
Midwife
Name: Alaa Adel Hussen Alsabbagh
nurse
Name: Kholoud barka alharbi
Laboratory technician
Name: Naif Muidh Hameed Alhuzali
nurse
Name: Nawaf Sami Sannan
General practitioner
Name: SULTAN ABDURABH ALHUZALI
nurse
“The Role of Artificial Intelligence in Enhancing Interdisciplinary Healthcare Across Family Medicine, Dentistry, Nursing, and Laboratories”
Abstract:
This study explores the role of Artificial Intelligence (AI) in enhancing interdisciplinary healthcare across family medicine, dentistry, nursing, and laboratory services. By reviewing existing literature and analyzing case studies, the research examines AI’s impact on improving diagnostic accuracy, fostering collaboration among healthcare providers, and reducing healthcare costs. The study finds that AI technologies have significantly enhanced early disease detection, personalized care, and operational efficiency. However, challenges such as high implementation costs, data privacy concerns, and lack of standardization need to be addressed for AI to achieve its full potential in healthcare. Recommendations include investing in AI training, developing standardized systems, and addressing ethical concerns to promote the widespread adoption of AI in healthcare settings. The findings suggest that AI can reduce costs while maintaining or even improving the quality of care, particularly if these challenges are mitigated.
Keywords: Artificial Intelligence, interdisciplinary healthcare, diagnostic accuracy, healthcare collaboration, AI adoption, personalized care.
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