Literature DB >> 33401373

Application of Artificial Intelligence-Based Technologies in the Healthcare Industry: Opportunities and Challenges.

DonHee Lee1, Seong No Yoon2.   

Abstract

This study examines the current state of artificial intelligence (AI)-based technology applications and their impact on the healthcare industry. In addition to a thorough review of the literature, this study analyzed several real-world examples of AI applications in healthcare. The results indicate that major hospitals are, at present, using AI-enabled systems to augment medical staff in patient diagnosis and treatment activities for a wide range of diseases. In addition, AI systems are making an impact on improving the efficiency of nursing and managerial activities of hospitals. While AI is being embraced positively by healthcare providers, its applications provide both the utopian perspective (new opportunities) and the dystopian view (challenges to overcome). We discuss the details of those opportunities and challenges to provide a balanced view of the value of AI applications in healthcare. It is clear that rapid advances of AI and related technologies will help care providers create new value for their patients and improve the efficiency of their operational processes. Nevertheless, effective applications of AI will require effective planning and strategies to transform the entire care service and operations to reap the benefits of what technologies offer.

Entities:  

Keywords:  AI-based technology; healthcare industry; opportunities and challenges; policy and management support; real-world cases

Mesh:

Year:  2021        PMID: 33401373      PMCID: PMC7795119          DOI: 10.3390/ijerph18010271

Source DB:  PubMed          Journal:  Int J Environ Res Public Health        ISSN: 1660-4601            Impact factor:   3.390


  24 in total

Review 1.  Deep learning.

Authors:  Yann LeCun; Yoshua Bengio; Geoffrey Hinton
Journal:  Nature       Date:  2015-05-28       Impact factor: 49.962

2.  Evaluation and accurate diagnoses of pediatric diseases using artificial intelligence.

Authors:  Huiying Liang; Brian Y Tsui; Hao Ni; Carolina C S Valentim; Sally L Baxter; Guangjian Liu; Wenjia Cai; Daniel S Kermany; Xin Sun; Jiancong Chen; Liya He; Jie Zhu; Pin Tian; Hua Shao; Lianghong Zheng; Rui Hou; Sierra Hewett; Gen Li; Ping Liang; Xuan Zang; Zhiqi Zhang; Liyan Pan; Huimin Cai; Rujuan Ling; Shuhua Li; Yongwang Cui; Shusheng Tang; Hong Ye; Xiaoyan Huang; Waner He; Wenqing Liang; Qing Zhang; Jianmin Jiang; Wei Yu; Jianqun Gao; Wanxing Ou; Yingmin Deng; Qiaozhen Hou; Bei Wang; Cuichan Yao; Yan Liang; Shu Zhang; Yaou Duan; Runze Zhang; Sarah Gibson; Charlotte L Zhang; Oulan Li; Edward D Zhang; Gabriel Karin; Nathan Nguyen; Xiaokang Wu; Cindy Wen; Jie Xu; Wenqin Xu; Bochu Wang; Winston Wang; Jing Li; Bianca Pizzato; Caroline Bao; Daoman Xiang; Wanting He; Suiqin He; Yugui Zhou; Weldon Haw; Michael Goldbaum; Adriana Tremoulet; Chun-Nan Hsu; Hannah Carter; Long Zhu; Kang Zhang; Huimin Xia
Journal:  Nat Med       Date:  2019-02-11       Impact factor: 53.440

3.  Artificial intelligence framework for simulating clinical decision-making: a Markov decision process approach.

Authors:  Casey C Bennett; Kris Hauser
Journal:  Artif Intell Med       Date:  2012-12-31       Impact factor: 5.326

4.  Relationship between patient satisfaction with inpatient care and hospital readmission within 30 days.

Authors:  William Boulding; Seth W Glickman; Matthew P Manary; Kevin A Schulman; Richard Staelin
Journal:  Am J Manag Care       Date:  2011-01       Impact factor: 2.229

Review 5.  Artificial intelligence in medicine and cardiac imaging: harnessing big data and advanced computing to provide personalized medical diagnosis and treatment.

Authors:  Steven E Dilsizian; Eliot L Siegel
Journal:  Curr Cardiol Rep       Date:  2014-01       Impact factor: 2.931

6.  Dermatologist-level classification of skin cancer with deep neural networks.

Authors:  Andre Esteva; Brett Kuprel; Roberto A Novoa; Justin Ko; Susan M Swetter; Helen M Blau; Sebastian Thrun
Journal:  Nature       Date:  2017-01-25       Impact factor: 49.962

Review 7.  Cybersecurity in healthcare: A narrative review of trends, threats and ways forward.

Authors:  Lynne Coventry; Dawn Branley
Journal:  Maturitas       Date:  2018-04-22       Impact factor: 4.342

8.  Machine Learning of Three-dimensional Right Ventricular Motion Enables Outcome Prediction in Pulmonary Hypertension: A Cardiac MR Imaging Study.

Authors:  Timothy J W Dawes; Antonio de Marvao; Wenzhe Shi; Tristan Fletcher; Geoffrey M J Watson; John Wharton; Christopher J Rhodes; Luke S G E Howard; J Simon R Gibbs; Daniel Rueckert; Stuart A Cook; Martin R Wilkins; Declan P O'Regan
Journal:  Radiology       Date:  2017-01-16       Impact factor: 11.105

Review 9.  The Application of Medical Artificial Intelligence Technology in Rural Areas of Developing Countries.

Authors:  Jonathan Guo; Bin Li
Journal:  Health Equity       Date:  2018-08-01

Review 10.  Artificial intelligence in medical imaging: threat or opportunity? Radiologists again at the forefront of innovation in medicine.

Authors:  Filippo Pesapane; Marina Codari; Francesco Sardanelli
Journal:  Eur Radiol Exp       Date:  2018-10-24
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  15 in total

1.  Delicar: A Smart Deep Learning Based Self Driving Product Delivery Car in Perspective of Bangladesh.

Authors:  Md Kalim Amzad Chy; Abdul Kadar Muhammad Masum; Kazi Abdullah Mohammad Sayeed; Md Zia Uddin
Journal:  Sensors (Basel)       Date:  2021-12-25       Impact factor: 3.576

2.  Who Will Get Paid for Artificial Intelligence in Medicine?

Authors:  Colin Rowell; Ronnie Sebro
Journal:  Radiol Artif Intell       Date:  2022-08-03

3.  Stakeholders' Requirements for Artificial Intelligence for Healthcare in Korea.

Authors:  Jae Yong Yu; Sungjun Hong; Yeong Chan Lee; Kyung Hyun Lee; Ildong Lee; Yeoni Seo; Mira Kang; Kyunga Kim; Won Chul Cha; Soo-Yong Shin
Journal:  Healthc Inform Res       Date:  2022-04-30

4.  A Review of Artificial Intelligence and Robotics in Transformed Health Ecosystems.

Authors:  Kerstin Denecke; Claude R Baudoin
Journal:  Front Med (Lausanne)       Date:  2022-07-06

Review 5.  Psychiatry in the Digital Age: A Blessing or a Curse?

Authors:  Carl B Roth; Andreas Papassotiropoulos; Annette B Brühl; Undine E Lang; Christian G Huber
Journal:  Int J Environ Res Public Health       Date:  2021-08-05       Impact factor: 3.390

6.  A Qualitative Thematic Analysis of Addressing the Why: An Artificial Intelligence (AI) in Healthcare Symposium.

Authors:  Joshua T Borgstadt; Edward A Kalpas; Hayden M Pond
Journal:  Cureus       Date:  2022-03-31

Review 7.  The Effectiveness of Semi-Automated and Fully Automatic Segmentation for Inferior Alveolar Canal Localization on CBCT Scans: A Systematic Review.

Authors:  Julien Issa; Raphael Olszewski; Marta Dyszkiewicz-Konwińska
Journal:  Int J Environ Res Public Health       Date:  2022-01-04       Impact factor: 3.390

8.  MKA: A Scalable Medical Knowledge-Assisted Mechanism for Generative Models on Medical Conversation Tasks.

Authors:  Ke Liang; Sifan Wu; Jiayi Gu
Journal:  Comput Math Methods Med       Date:  2021-12-23       Impact factor: 2.238

Review 9.  A Study of the Recent Trends of Immunology: Key Challenges, Domains, Applications, Datasets, and Future Directions.

Authors:  Sharnil Pandya; Aanchal Thakur; Santosh Saxena; Nandita Jassal; Chirag Patel; Kirit Modi; Pooja Shah; Rahul Joshi; Sudhanshu Gonge; Kalyani Kadam; Prachi Kadam
Journal:  Sensors (Basel)       Date:  2021-11-23       Impact factor: 3.576

10.  Rise of Clinical Studies in the Field of Machine Learning: A Review of Data Registered in ClinicalTrials.gov.

Authors:  Claus Zippel; Sabine Bohnet-Joschko
Journal:  Int J Environ Res Public Health       Date:  2021-05-11       Impact factor: 3.390

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