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Review Paper | Mathematics and Statistics | Volume 15 Issue 4, April 2026 | Pages: 1651 - 1654 | India
Integration of Artificial Intelligence in Healthcare: Mathematical Perspectives on Diagnostics
Abstract: Artificial Intelligence (AI) is playing a vital and crucial with important role in modern healthcare by improving diagnostic accuracy, knowing about personalized treatment technique, and glowing the working nature of robotic-assisted treatment using surgeries. The success of these technologies relies largely on strong mathematics logical and statistical foundations building that permitted AI systems to inspect and analyse complex medical data and provide help in clinical output making. This paper presents a mathematical perspective on the integration of AI in healthcare, focusing on key concepts such as probabilistic inference, optimization techniques, machine learning models, and performance evaluation metrics. In particular, the study highlights the importance of Bayesian inference in medical treatment from the initial stage diagnostic, where prior medical knowledge and newly observed patient data are combined to estimate the probability of disease conditions. Components such as prior probability, likelihood, posterior probability, and evidence are discussed to demonstrate how AI systems continuously update diagnostic predictions as new clinical information becomes available. These probabilistic methods enable AI models to manage uncertainty in medical data and produce reliable predictions. The paper also examines applications of mathematical modelling in areas such as medical image analysis, disease prediction, personalized medicine, and robotic surgery control. Although AI offers significant potential for improving healthcare systems, challenges such as limited datasets, interpretability of AI models, ethical concerns, and patient data privacy remain important considerations. Overall, the integration of artificial intelligence with mathematical modelling provides powerful tools for developing efficient, accurate, and patient-centred healthcare technologies.
Keywords: Artificial Intelligence, Healthcare, Machine Learning, Bayesian Inference, Mathematical Modelling, Medical Diagnostics, Personalized Medicine, Robotic Surgery
How to Cite?: Ismat Fatima Basit Husain Rizvi, "Integration of Artificial Intelligence in Healthcare: Mathematical Perspectives on Diagnostics", Volume 15 Issue 4, April 2026, International Journal of Science and Research (IJSR), Pages: 1651-1654, https://www.ijsr.net/getabstract.php?paperid=SR26426143911, DOI: https://dx.dx.doi.org/10.21275/SR26426143911