Abstract
Artificial intelligence (AI) is revolutionizing health care by shifting its role beyond diagnosis, emphasizing preventive care and early detection. This transformative approach harnesses AI to identify potential health risks before symptoms manifest, allowing early intervention to improve patient outcomes and reduce health-care costs. Using predictive analytics techniques, AI models provide new ways of early classification of diseases and timely management of people’s health, leading to improved quality of life and free from severe health risks. In preventive health care, AI has exciting opportunities and risks, and this paper discusses both. It is therefore by presenting and comparing between those AI applications used in predicting risk of contracting some diseases and those usable in early disease diagnosis that this paper comes with the picture of the advanced health-care systems shifting from curative to a preventive mode. This brings a positive impression to the change and attribute the meaningfulness to the development of a positive health change approach which focuses on preventing the occurrence of unhealthy complications with the aim of enhancing the health of a certain population.
Keywords
Preventive healthcare, AI evolution, Disease prevention, AI in healthcare, Early detection
Citations
IRE Journals:
Tanmay Shukla
"Beyond Diagnosis: AI’s Role in Preventive Healthcare and Early Detection" Iconic Research And Engineering Journals Volume 8 Issue 5 2024 Page 53-63
IEEE:
Tanmay Shukla
"Beyond Diagnosis: AI’s Role in Preventive Healthcare and Early Detection" Iconic Research And Engineering Journals, 8(5)
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