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Artificial Intelligence (AI) and Machine Learning (ML): An Innovative Cross-Talk Perspective and Their Role in the Healthcare Industry

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Artificial Intelligence and Machine Learning in Healthcare

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Abstract

From its widespread use in improving diagnostic accuracy to its applications in treatment recommendations, patient engagement and adherence, health services management, predictive analysis and neural networks, AI has created tremendous opportunities in the healthcare field. Its use, however, is limited by lack of awareness, proliferation of misinformation regarding AI applications, limited validation studies and inherent limitations associated with the collection and sharing of healthcare data. Regardless of whether the algorithms are usefully scalable, the most difficult task for AI in the healthcare industry is to sustain its use in routine clinical practice. Because screening and diagnostic AI technologies now possess the ability to radically transform the healthcare landscape, having a clear understanding of how these tools are presented to the public is crucial.

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Authors and Affiliations

  1. University Institute of Pharmaceutical Sciences, Panjab University, Chandigarh, India

    Rohini Sharma

  2. Valuecom Evidence Based Solutions (OPC) Pvt. Ltd., Chandigarh, India

    Rohini Sharma

  3. Centre for Studies in Science Policy, School of Social Sciences, Jawaharlal Nehru University, New Delhi, India

    Anamika Gulati

  4. Pharmacology, University Institute of Pharmaceutical Sciences, Panjab University, Chandigarh, India

    Kanwaljit Chopra

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  1. Department of Statistics & Demography, National Institute of Health and Family Welfare, New Delhi, Delhi, India

    Dharmendra Kumar Yadav

  2. Center for Studies in Science Policy, Jawaharlal Nehru University, New Delhi, Delhi, India

    Anamika Gulati

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Sharma, R., Gulati, A., Chopra, K. (2023). Artificial Intelligence (AI) and Machine Learning (ML): An Innovative Cross-Talk Perspective and Their Role in the Healthcare Industry. In: Yadav, D.K., Gulati, A. (eds) Artificial Intelligence and Machine Learning in Healthcare. Springer, Singapore. https://doi.org/10.1007/978-981-99-6472-7_2

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