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@article{182058,
        author = {Vedant Malhotra},
        title = {Artificial Intelligence in Healthcare: Revolutionising Diagnostics for a smarter future},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {2},
        pages = {745-751},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=182058},
        abstract = {Artificial Intelligence is rapidly transforming the face of modern healthcare, with its one of the most impactful changes being in the field of diagnostics. Through Ai and its ability of processing vast amounts of medical data, recognizing patterns, and learning from different inputs Ai offers an unprecedented level of accuracy, speed and predictive power in disease identification which is getting 10 times better day by day. Leveraging its subfields such as machine learning or deep learning, computer imaging and language processing Ai driven diagnostics tools are increasingly capable of outperforming traditional ways of disease detection, risk stratification and offering clinical support to healthcare workers. 
This paper specifically explores the role of artificial intelligence in revolutionising diagnostics forever. It delves into its application in earlier detection of life threatening diseases such as cancer (including breast, lungs and prostate), diabetic retinopathy, Alzhimers disease and various types of skin cancer. These conditions mentioned are usually diagnosed at a very late stage due to late symptoms or even human limitations in imaging and screening, are now being identified much earlier with greater precision through Ai assisted image analysis, biomarker recognition and data modeling. 
Furthermore this research investigates how Ai is integrated into advanced diagnostic platforms that can support real time clinical decisions leading to enhanced workflow efficiency and reduced diagnostic errors which humans make. Special mentions are given to innovative wearable Ai health tools which provide continuous basic and physiological data which can allow early detection of irregular cardiac activity, sleep disorders and other chronic decisions. This paper also discusses the growing intersection of genomics and Ai, where large scale genetic data can be read and analysed in much less time enabling predictive diagnosis of hereditary disease and personalized medicine.
Lastly this study will address the ethical and operational challenges that accompany the deployment of Ai in healthcare. Issues such as algorithmic bias, data privacy, model transparency, and the necessity of human oversight are explored in depth. By including current scientific researches, emerging technologies and real world cases, the paper highlights Ai’s potential to make diagnostics much better, more accurate and equitable across the globe.},
        keywords = {},
        month = {July},
        }