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Modern AI/ML Methods for Healthcare: Opportunities and ChallengesAuthors: Akshit Garg,Vijay Vignesh Venkataramani,Akshaya Karthikeyan,U Deva Priyakumar Conference: International Conference on Distributed Computing and Internet Technology Pages: 1-23 Date: 2022-01-17 Report no: IIIT/TR/2022/14 AbstractArtificial Intelligence has seen a significant resurgence in the past decade in wide ranging technology and domain areas. Recent AQ1 progress in digitisation and high influx of biomedical data have led to an unparalleled success of Machine Learning systems in healthcare, which is perceived to be a possible game changer for ‘healthcare to all’. This article gives an account of some of the current applications of AI solutions in the medical domains of diagnosis, prognosis and treatment. The AQ2 article will also illustrate the implications of AI in the fight against the COVID-19 pandemic. Lastly, the article will summarise the challenges AI currently faces in its wide-scale adoption in the healthcare industry and how they can possibly be dealt with to move towards a more intelligent medical future. This may enable moving towards quality healthcare for all. Full paper: pdf Centre for Computational Natural Sciences and Bioinformatics |
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