Literature DB >> 31636002

Artificial Intelligence in Medicine: Where Are We Now?

Sagar Kulkarni1, Nuran Seneviratne2, Mirza Shaheer Baig3, Ameer Hamid Ahmed Khan3.   

Abstract

Artificial intelligence in medicine has made dramatic progress in recent years. However, much of this progress is seemingly scattered, lacking a cohesive structure for the discerning observer. In this article, we will provide an up-to-date review of artificial intelligence in medicine, with a specific focus on its application to radiology, pathology, ophthalmology, and dermatology. We will discuss a range of selected papers that illustrate the potential uses of artificial intelligence in a technologically advanced future.
Copyright © 2019 The Association of University Radiologists. All rights reserved.

Keywords:  Artificial intelligence; Deep learning; Dermatology; Ophthalmology; Pathology; Radiology; Review

Year:  2019        PMID： 31636002     DOI： 10.1016/j.acra.2019.10.001

Source DB:  PubMed          Journal:  Acad Radiol        ISSN： 1076-6332            Impact factor:   3.173


  25 in total

Review 1.  Artificial intelligence in assessment of hepatocellular carcinoma treatment response.

Authors:  Bradley Spieler; Carl Sabottke; Ahmed W Moawad; Ahmed M Gabr; Mustafa R Bashir; Richard Kinh Gian Do; Vahid Yaghmai; Radu Rozenberg; Marielia Gerena; Joseph Yacoub; Khaled M Elsayes
Journal:  Abdom Radiol (NY)       Date:  2021-03-31

Review 2.  A Scoping Review of Artificial Intelligence and Machine Learning in Bariatric and Metabolic Surgery: Current Status and Future Perspectives.

Authors:  Athanasios G Pantelis; Georgios K Stravodimos; Dimitris P Lapatsanis
Journal:  Obes Surg       Date:  2021-07-15       Impact factor: 4.129

3.  Artificial intelligence and the NHS: a qualitative exploration of the factors influencing adoption.

Authors:  Kirsty Morrison
Journal:  Future Healthc J       Date:  2021-11

Review 4.  Machine learning applications in upper gastrointestinal cancer surgery: a systematic review.

Authors:  Mustafa Bektaş; George L Burchell; H Jaap Bonjer; Donald L van der Peet
Journal:  Surg Endosc       Date:  2022-08-11       Impact factor: 3.453

Review 5.  Artificial intelligence perspective in the future of endocrine diseases.

Authors:  Mandana Hasanzad; Bagher Larijani; Hamid Reza Aghaei Meybodi; Negar Sarhangi
Journal:  J Diabetes Metab Disord       Date:  2022-01-11

Review 6.  Artificial Intelligence in Bariatric Surgery: Current Status and Future Perspectives.

Authors:  Mustafa Bektaş; Beata M M Reiber; Jaime Costa Pereira; George L Burchell; Donald L van der Peet
Journal:  Obes Surg       Date:  2022-06-17       Impact factor: 3.479

Review 7.  Artificial intelligence as a fundamental tool in management of infectious diseases and its current implementation in COVID-19 pandemic.

Authors:  Ishnoor Kaur; Tapan Behl; Lotfi Aleya; Habibur Rahman; Arun Kumar; Sandeep Arora; Israt Jahan Bulbul
Journal:  Environ Sci Pollut Res Int       Date:  2021-05-25       Impact factor: 4.223

Review 8.  Personalized workflows in reconstructive dentistry-current possibilities and future opportunities.

Authors:  Tim Joda; Nicola U Zitzmann
Journal:  Clin Oral Investig       Date:  2022-03-30       Impact factor: 3.606

9.  Artificial intelligence and medical education: A global mixed-methods study of medical students' perspectives.

Authors:  Hamza Ejaz; Hari McGrath; Brian Lh Wong; Andrew Guise; Tom Vercauteren; Jonathan Shapey
Journal:  Digit Health       Date:  2022-05-02

10.  Deep learning for automatic quantification of lung abnormalities in COVID-19 patients: First experience and correlation with clinical parameters.

Authors:  Victor Mergen; Adrian Kobe; Christian Blüthgen; André Euler; Thomas Flohr; Thomas Frauenfelder; Hatem Alkadhi; Matthias Eberhard
Journal:  Eur J Radiol Open       Date:  2020-10-06
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