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Significance of machine learning in healthcare: Features, pillars and applications

📅 January 1, 2022 👤 Mohd Javaid, Abid Haleem, Ravi Pratap Singh et al. 📖 International Journal of Intelligent Networks 📊 615 citations

🤖 Plain-English Summary

Machine Learning (ML) applications are making a considerable impact on healthcare. Shortly, ML will impact both physicians and hospitals.

🔑 Key Findings

  • ML is a subtype of Artificial Intelligence (AI) technology that aims to improve the speed and accuracy of physicians' work.
  • Countries are currently dealing with an overburdened healthcare system with a shortage of skilled physicians, where AI provides a big hope.
  • The healthcare data can be used gainfully to identify the optimal trial sample, collect more data points, assess ongoing data from trial participants, and eliminate data-based errors.

💡 Why This Matters

This research advances how AI systems learn, reason, and solve problems — with direct implications for automation and scientific discovery.

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📋 Article Details

Category 🤖 Artificial Intelligence
Published Jan 01, 2022
Journal International Journal of Intelligent Networks
Authors Mohd Javaid, Abid Haleem, Ravi Pratap Singh, Rajiv Suman, Shanay Rab
DOI 10.1016/j.ijin.2022.05.002
Citations 615
Source OpenAlex

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