Publication Type: Edited Book
ARTIFICIAL INTELLIGENCE IN HEALTH CARE
Book Name: Preventive Medicine and Health Care
Authors: Bushra Hasan, Nazia Hasan, Safia Hasan, Iqra Hasan, Mubashshir Mehmood
Keywords: Artificial Intelligence, Healthcare, Robotic Surgery, Precision Medicine
Area/Stream: medical science / Medicine / Others
Published in: IIP Series
Volume: 4, Month:July ,Year:2025
Page No.: 378-390
e-ISBN: 978-93-7020-716-5
DOI/Link: https://www.doi.org/10.58532/nbennurPMHCSW29
Abstract:
The expeditious evolution of artificial intelligence (AI) in healthcare has revolutionized in the healthcare sector and offered exciting advancements in diagnostic accuracy, efficiency, and patient outcomes. Various benefits such as reducing human error rates, reduce the time consumption, quicker data management, faster disease diagnosis, improving clinical outcomes and monitoring longitudinal data. The integration of AI with surgical robotics has seen a dramatic change in the field of surgery, which enhances both precision and efficiency. Robotics has taken enormous hike in improving the healthcare services in different medical sectors including oncology, gynaecology, Orthopaedic, Neurology, Ophthalmology, Gastrointestinal surgery etc. Additionally, this chapter emphasizes the promise of AI to revolutionize healthcare and enhance patient outcomes while highlighting the need for accountable application and ongoing evaluation and addressing the advancement of AI, challenges and possible future directions in healthcare sector. However, AI has the potential to emerge as a pivotal instrument that can significantly enhance and elevate the standards of health equity for communities and populations globally, thereby fostering a more just and fair access to healthcare for everyone, irrespective of their geographical or socioeconomic status.
Cite this: Bushra Hasan, Nazia Hasan, Safia Hasan, Iqra Hasan, Mubashshir Mehmood,"ARTIFICIAL INTELLIGENCE IN HEALTH CARE ", Preventive Medicine and Health Care,IIP Series, Volume 4, July , 2025, Page no.378-390, e-ISBN: 978-93-7020-716-5, DOI/Link: https://www.doi.org/10.58532/nbennurPMHCSW29
