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Application of Artificial Intelligence in Healthcare Sector: A Multidimensional Perspective
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Author(s): Anu Sayal (Taylor's University, Malaysia), Ashulekha Gupta (Graphic Era University, India), Janhvi Jha (Jain University, India), N. Chaithra (Jain University, India)and Allagari Nithin (Jain University, India)
Copyright: 2025
Pages: 24
Source title:
Driving Global Health and Sustainable Development Goals With Smart Technology
Source Author(s)/Editor(s): Mohit Kukreti (University of Technology and Applied Sceinces, Oman), Sabina Sehajpal (Chandigarh University, India), Rajesh Tiwari (Graphic Era University, India)and Kiran Sood (Chitkara University, India)
DOI: 10.4018/979-8-3373-0240-9.ch006
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Abstract
In this paper, we emphasize the recent innovations made in biomedicine and healthcare by applying AI. To better understand real-world applications of AI in the field, we have also included a case study that uses a convolution neural network to detect the presence of malaria in human cells. Numerous types of AI are already being applied in various fields such as cardiology and neurology for detecting cysts and tumors through digital image processing and dermatology for detecting and treating lesions and psoriasis. Moreover, significant evidence indicates its use in genomics and 3D bioprinting, which are both expected to revolutionize treatment. AI has increased the efficiency and reduced the workload of health professionals. There are unquestionably application instances in which AI performs healthcare activities as well as or better than humans. Our studies show that AI is largely restructuring the constitution of human well-being as a whole and is predicted to progress in leaps and bounds.
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