Vol V, Issue 1 Date of Publication: February 17, 2020
DOI: https://doi.org/10.20529/IJME.2019.074

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Globalising artificial intelligence for improved clinical practice

Md Mahbub Hossain
Rachit Sharma
Abida Sultana
Samia Tasnim
Farah Faizah
Abstract:
Artificial intelligence (AI) technologies are facilitating the work of modern healthcare organisations to leverage the power of big data in clinical practice. In most cases, AI-based systems improve clinical decision-making using multiple layers of information and pre-specified algorithms. In addition, recent AI technologies like machine learning can learn from existing data and perform predictive operations resulting in a robust performance in clinical settings (1, 2). Such innovations are likely to serve the healthcare industry by minimising human error, savings costs, and maximising informed decision-making. However, critical challenges may affect the applications of AI in clinical settings, which include the effects on patient-provider communication, safety and efficacy of health services, and humane aspects of caregiving.


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©Indian Journal of Medical Ethics 2020: Open Access and Distributed under the Creative Commons license ( CC BY-NC-ND 4.0),
which permits only non-commercial and non-modified sharing in any medium, provided the original author(s) and source are credited.

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