@article{1446084,
      author = {Mishra, Sushruta. and Tripathy, Hrudaya Kumar. and  Mallick, Pradeep. and Shaalan, Khaled.},
      url = {http://library.usi.edu/record/1446084},
      title = {Augmented intelligence in healthcare: a pragmatic and  integrated analysis /},
      publisher = {Springer,},
      abstract = {The book discusses how augmented intelligence can increase  the efficiency and speed of diagnosis in healthcare  organizations. The concept of augmented intelligence can  reflect the enhanced capabilities of human decision-making  in clinical settings when augmented with computation  systems and methods. It includes real-life case studies  highlighting impact of augmented intelligence in health  care. The book offers a guided tour of computational  intelligence algorithms, architecture design, and  applications of learning in healthcare challenges. It  presents a variety of techniques designed to represent,  enhance, and empower multi-disciplinary and  multi-institutional machine learning research in healthcare  informatics. It also presents specific applications of  augmented intelligence in health care, and architectural  models and frameworks-based augmented solutions.},
      doi = {https://doi.org/10.1007/978-981-19-1076-0},
      recid = {1446084},
      pages = {1 online resource},
      address = {Singapore :},
      year = {2022},
}