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Literature DB >> 31363513

The potential for artificial intelligence in healthcare.

Abstract

The complexity and rise of data in healthcare means that artificial intelligence (AI) will increasingly be applied within the field. Several types of AI are already being employed by payers and providers of care, and life sciences companies. The key categories of applications involve diagnosis and treatment recommendations, patient engagement and adherence, and administrative activities. Although there are many instances in which AI can perform healthcare tasks as well or better than humans, implementation factors will prevent large-scale automation of healthcare professional jobs for a considerable period. Ethical issues in the application of AI to healthcare are also discussed.

Entities: Species

Keywords: Artificial intelligence; clinical decision support; electronic health record systems

Year: 2019 PMID： 31363513 PMCID： PMC6616181 DOI： 10.7861/futurehosp.6-2-94

Source DB: PubMed Journal: Future Healthc J ISSN： 2514-6645

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Cited

140 in total

1. Application of Machine Learning in Intensive Care Unit (ICU) Settings Using MIMIC Dataset: Systematic Review.

Authors: Mahanazuddin Syed; Shorabuddin Syed; Kevin Sexton; Hafsa Bareen Syeda; Maryam Garza; Meredith Zozus; Farhanuddin Syed; Salma Begum; Abdullah Usama Syed; Joseph Sanford; Fred Prior
Journal: Informatics (MDPI) Date: 2021-03-03

2. Shooting from the hip into our own foot? A perspective on how artificial intelligence may disrupt medical training.

Authors: Anmol Arora
Journal: Future Healthc J Date: 2020-06

3. 2021 ISHNE/HRS/EHRA/APHRS Expert Collaborative Statement on mHealth in Arrhythmia Management: Digital Medical Tools for Heart Rhythm Professionals: From the International Society for Holter and Noninvasive Electrocardiology/Heart Rhythm Society/European Heart Rhythm Association/Asia-Pacific Heart Rhythm Society.

Authors: Niraj Varma; Iwona Cygankiewicz; Mintu P Turakhia; Hein Heidbuchel; Yu-Feng Hu; Lin Yee Chen; Jean-Philippe Couderc; Edmond M Cronin; Jerry D Estep; Lars Grieten; Deirdre A Lane; Reena Mehra; Alex Page; Rod Passman; Jonathan P Piccini; Ewa Piotrowicz; Ryszard Piotrowicz; Pyotr G Platonov; Antonio Luiz Ribeiro; Robert E Rich; Andrea M Russo; David Slotwiner; Jonathan S Steinberg; Emma Svennberg
Journal: Circ Arrhythm Electrophysiol Date: 2021-02-12

4. A panoramic view and swot analysis of artificial intelligence for achieving the sustainable development goals by 2030: progress and prospects.

Authors: Iván Palomares; Eugenio Martínez-Cámara; Rosana Montes; Pablo García-Moral; Manuel Chiachio; Juan Chiachio; Sergio Alonso; Francisco J Melero; Daniel Molina; Bárbara Fernández; Cristina Moral; Rosario Marchena; Javier Pérez de Vargas; Francisco Herrera
Journal: Appl Intell (Dordr) Date: 2021-06-11 Impact factor: 5.086

5. 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

The potential for artificial intelligence in healthcare.

1. Application of Machine Learning in Intensive Care Unit (ICU) Settings Using MIMIC Dataset: Systematic Review.

2. Shooting from the hip into our own foot? A perspective on how artificial intelligence may disrupt medical training.

4. A panoramic view and swot analysis of artificial intelligence for achieving the sustainable development goals by 2030: progress and prospects.

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

6. Clinical Data Prediction Model to Identify Patients With Early-Stage Pancreatic Cancer.

Review 7. Applications of artificial intelligence in drug development using real-world data.

8. Efficient Automated Disease Diagnosis Using Machine Learning Models.

9. Application of Bayesian networks to generate synthetic health data.

10. The imprinting effect of SARS experience on the fear of COVID-19: The role of AI and big data.