Literature DB >> 31088949

Artificial Intelligence in Medical Imaging.

Jessyca B Wagner.   

Abstract

Artificial intelligence (AI) has existed for decades and continues to evolve as technology advances. In health care, AI can be used to simplify the check-in process for patients, make patient records more efficient, monitor disease, aid diagnosis, assist in surgical procedures, and offer mental health therapy. In radiology, AI assists in multiple processes including scheduling patients, billing, optimizing staffing, creating protocols, assessing image quality, reducing radiation dose, and image interpretation. AI is not something to be feared, as it will not replace humans; rather, it should be embraced for its ability to improve and prolong lives.
© 2019 American Society of Radiologic Technologists.

Entities:  

Mesh:

Year:  2019        PMID: 31088949

Source DB:  PubMed          Journal:  Radiol Technol        ISSN: 0033-8397


  7 in total

1.  Automatic skin disease diagnosis using deep learning from clinical image and patient information.

Authors:  K A Muhaba; K Dese; T M Aga; F T Zewdu; G L Simegn
Journal:  Skin Health Dis       Date:  2021-11-25

2.  Artificial intelligence in medical imaging practice in Africa: a qualitative content analysis study of radiographers' perspectives.

Authors:  William Kwadwo Antwi; Theophilus N Akudjedu; Benard Ohene Botwe
Journal:  Insights Imaging       Date:  2021-06-16

3.  Deep Learning-Based Ultrasound Combined with Gastroscope for the Diagnosis and Nursing of Upper Gastrointestinal Submucous Lesions.

Authors:  Lima Xia; Suhua Sun; Weijie Dai
Journal:  Comput Math Methods Med       Date:  2022-04-19       Impact factor: 2.809

4.  The application research of AI image recognition and processing technology in the early diagnosis of the COVID-19.

Authors:  Wenyu Chen; Ming Yao; Zhenyu Zhu; Yanbao Sun; Xiuping Han
Journal:  BMC Med Imaging       Date:  2022-02-17       Impact factor: 1.930

5.  Analysis of the Effects of Arts and Crafts in Public Mental Health Education Based on Artificial Intelligence Technology.

Authors:  Linchong Ji; Zhiyong Liu
Journal:  J Environ Public Health       Date:  2022-08-31

6.  Challenges and advances in optical 3D mesoscale imaging.

Authors:  Sebastian Munck; Christopher Cawthorne; Abril Escamilla-Ayala; Axelle Kerstens; Sergio Gabarre; Katrina Wesencraft; Eliana Battistella; Rebecca Craig; Emmanuel G Reynaud; Jim Swoger; Gail McConnell
Journal:  J Microsc       Date:  2022-05-05       Impact factor: 1.952

7.  Artificial intelligence in medical imaging practice in Africa: a qualitative content analysis study of radiographers' perspectives.

Authors:  William Kwadwo Antwi; Theophilus N Akudjedu; Benard Ohene Botwe
Journal:  Insights Imaging       Date:  2021-06-16
  7 in total

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