Literature DB >> 33785475

Introduction to the special issue of The Spine Journal on artificial intelligence and machine learning.

Aditya V Karhade1, Joseph H Schwab2.   

Abstract

In the last 5 years, artificial intelligence (AI) algorithms have made rapid advances for diagnosis and prognosis in fields ranging from dermatology to anesthesiology. How do we make sense of the rise of AI in healthcare and specifically in spine? How much of what we see today is "hype" and what will remain when the dust settles? In this special issue, several reviews and original articles help us understand the state of AI in healthcare today, the avenues for future progress, and the implications for spine care.  Continued engagement, skepticism, and collaboration with technical experts will allow for the development of AI systems that complement and expand our abilities to diagnose, predict, and operate.
Copyright © 2021 Elsevier Inc. All rights reserved.

Keywords:  Artificial intelligence; Augmented reality; Clinical decision support; Electronic medical records; Machine learning; Natural language processing; Prediction; SMART on FHIR; Spine; Virtual reality

Year:  2021        PMID: 33785475     DOI: 10.1016/j.spinee.2021.03.028

Source DB:  PubMed          Journal:  Spine J        ISSN: 1529-9430            Impact factor:   4.166


  1 in total

1.  Evaluation of Deep Learning-Based Automated Detection of Primary Spine Tumors on MRI Using the Turing Test.

Authors:  Hanqiang Ouyang; Fanyu Meng; Jianfang Liu; Xinhang Song; Yuan Li; Yuan Yuan; Chunjie Wang; Ning Lang; Shuai Tian; Meiyi Yao; Xiaoguang Liu; Huishu Yuan; Shuqiang Jiang; Liang Jiang
Journal:  Front Oncol       Date:  2022-03-11       Impact factor: 6.244

  1 in total

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