Exploring the State of Machine Learning and Deep Learning in Medicine: A Survey of the Italian Research Community

Artificial intelligence (AI) is becoming increasingly important, especially in the medical field. While AI has been used in medicine for some time, its growth in the last decade is remarkable. Specifically, machine learning (ML) and deep learning (DL) techniques in medicine have been increasingly ad...

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Main Authors: Alessio Bottrighi, Marzio Pennisi
Format: Article
Language:English
Published: MDPI AG 2023-09-01
Series:Information
Subjects:
Online Access:https://www.mdpi.com/2078-2489/14/9/513
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author Alessio Bottrighi
Marzio Pennisi
author_facet Alessio Bottrighi
Marzio Pennisi
author_sort Alessio Bottrighi
collection DOAJ
description Artificial intelligence (AI) is becoming increasingly important, especially in the medical field. While AI has been used in medicine for some time, its growth in the last decade is remarkable. Specifically, machine learning (ML) and deep learning (DL) techniques in medicine have been increasingly adopted due to the growing abundance of health-related data, the improved suitability of such techniques for managing large datasets, and more computational power. ML and DL methodologies are fostering the development of new “intelligent” tools and expert systems to process data, to automatize human–machine interactions, and to deliver advanced predictive systems that are changing every aspect of the scientific research, industry, and society. The Italian scientific community was instrumental in advancing this research area. This article aims to conduct a comprehensive investigation of the ML and DL methodologies and applications used in medicine by the Italian research community in the last five years. To this end, we selected all the papers published in the last five years with at least one of the authors affiliated to an Italian institution that in the title, in the abstract, or in the keywords present the terms “machine learning” or “deep learning” and reference a medical area. We focused our research on journal papers under the hypothesis that Italian researchers prefer to present novel but well-established research in scientific journals. We then analyzed the selected papers considering different dimensions, including the medical topic, the type of data, the pre-processing methods, the learning methods, and the evaluation methods. As a final outcome, a comprehensive overview of the Italian research landscape is given, highlighting how the community has increasingly worked on a very heterogeneous range of medical problems.
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spelling doaj.art-a18946a9325343e28628dfb0d7f6df252023-11-19T11:14:18ZengMDPI AGInformation2078-24892023-09-0114951310.3390/info14090513Exploring the State of Machine Learning and Deep Learning in Medicine: A Survey of the Italian Research CommunityAlessio Bottrighi0Marzio Pennisi1Dipartimento di Scienze e Innovazione Tecnologica (DiSIT), Computer Science Institute, Università del Piemonte Orientale, 15121 Alessandria, ItalyDipartimento di Scienze e Innovazione Tecnologica (DiSIT), Computer Science Institute, Università del Piemonte Orientale, 15121 Alessandria, ItalyArtificial intelligence (AI) is becoming increasingly important, especially in the medical field. While AI has been used in medicine for some time, its growth in the last decade is remarkable. Specifically, machine learning (ML) and deep learning (DL) techniques in medicine have been increasingly adopted due to the growing abundance of health-related data, the improved suitability of such techniques for managing large datasets, and more computational power. ML and DL methodologies are fostering the development of new “intelligent” tools and expert systems to process data, to automatize human–machine interactions, and to deliver advanced predictive systems that are changing every aspect of the scientific research, industry, and society. The Italian scientific community was instrumental in advancing this research area. This article aims to conduct a comprehensive investigation of the ML and DL methodologies and applications used in medicine by the Italian research community in the last five years. To this end, we selected all the papers published in the last five years with at least one of the authors affiliated to an Italian institution that in the title, in the abstract, or in the keywords present the terms “machine learning” or “deep learning” and reference a medical area. We focused our research on journal papers under the hypothesis that Italian researchers prefer to present novel but well-established research in scientific journals. We then analyzed the selected papers considering different dimensions, including the medical topic, the type of data, the pre-processing methods, the learning methods, and the evaluation methods. As a final outcome, a comprehensive overview of the Italian research landscape is given, highlighting how the community has increasingly worked on a very heterogeneous range of medical problems.https://www.mdpi.com/2078-2489/14/9/513artificial intelligencemachine learningmedicinedeep learning
spellingShingle Alessio Bottrighi
Marzio Pennisi
Exploring the State of Machine Learning and Deep Learning in Medicine: A Survey of the Italian Research Community
Information
artificial intelligence
machine learning
medicine
deep learning
title Exploring the State of Machine Learning and Deep Learning in Medicine: A Survey of the Italian Research Community
title_full Exploring the State of Machine Learning and Deep Learning in Medicine: A Survey of the Italian Research Community
title_fullStr Exploring the State of Machine Learning and Deep Learning in Medicine: A Survey of the Italian Research Community
title_full_unstemmed Exploring the State of Machine Learning and Deep Learning in Medicine: A Survey of the Italian Research Community
title_short Exploring the State of Machine Learning and Deep Learning in Medicine: A Survey of the Italian Research Community
title_sort exploring the state of machine learning and deep learning in medicine a survey of the italian research community
topic artificial intelligence
machine learning
medicine
deep learning
url https://www.mdpi.com/2078-2489/14/9/513
work_keys_str_mv AT alessiobottrighi exploringthestateofmachinelearninganddeeplearninginmedicineasurveyoftheitalianresearchcommunity
AT marziopennisi exploringthestateofmachinelearninganddeeplearninginmedicineasurveyoftheitalianresearchcommunity