Artificial Intelligence in Digital Pathology: What Is the Future? <i>Part 2: An Investigation on the Insiders</i>
<i>Motivation:</i> This study deals with the introduction of artificial intelligence (AI) in digital pathology (DP). The study starts from the highlights of a companion paper. <i>Objective:</i> The aim was to investigate the consensus and acceptance of the insiders on this is...
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-10-01
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| Series: | Healthcare |
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| Online Access: | https://www.mdpi.com/2227-9032/9/10/1347 |
| _version_ | 1797514475993038848 |
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| author | Maria Rosaria Giovagnoli Sara Ciucciarelli Livia Castrichella Daniele Giansanti |
| author_facet | Maria Rosaria Giovagnoli Sara Ciucciarelli Livia Castrichella Daniele Giansanti |
| author_sort | Maria Rosaria Giovagnoli |
| collection | DOAJ |
| description | <i>Motivation:</i> This study deals with the introduction of artificial intelligence (AI) in digital pathology (DP). The study starts from the highlights of a companion paper. <i>Objective:</i> The aim was to investigate the consensus and acceptance of the insiders on this issue. <i>Procedure:</i> An electronic survey based on the standardized package Microsoft Forms (Microsoft, Redmond, WA, USA) was proposed to a sample of biomedical laboratory technicians (149 admitted in the study, 76 males, 73 females, mean age 44.2 years). <i>Results:</i> The survey showed no criticality. It highlighted (a) the good perception of the basic training on both groups, and (b) a uniformly low perceived knowledge of AI (as arisen from the graded questions). Expectations, perceived general impact, perceived changes in the <i>work-flow</i>, and worries clearly emerged in the study. <i>Conclusions:</i> The of AI in DP is an unstoppable process, as well as the increase of the digitalization in the <i>health domain</i>. Stakeholders must not look with suspicion towards AI, which can represent an important resource, but should invest in monitoring and consensus training initiatives based also on electronic surveys. |
| first_indexed | 2024-03-10T06:32:10Z |
| format | Article |
| id | doaj.art-d58b0d7bcc2942858958514aaa324a96 |
| institution | Directory Open Access Journal |
| issn | 2227-9032 |
| language | English |
| last_indexed | 2024-03-10T06:32:10Z |
| publishDate | 2021-10-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Healthcare |
| spelling | doaj.art-d58b0d7bcc2942858958514aaa324a962023-11-22T18:25:37ZengMDPI AGHealthcare2227-90322021-10-01910134710.3390/healthcare9101347Artificial Intelligence in Digital Pathology: What Is the Future? <i>Part 2: An Investigation on the Insiders</i>Maria Rosaria Giovagnoli0Sara Ciucciarelli1Livia Castrichella2Daniele Giansanti3Facoltà di Medicina e Psicologia, Università Sapienza Roma, Piazzale Aldo Moro, 00185 Rome, ItalyFacoltà di Medicina e Psicologia, Università Sapienza Roma, Piazzale Aldo Moro, 00185 Rome, ItalyFacoltà di Medicina e Psicologia, Università Sapienza Roma, Piazzale Aldo Moro, 00185 Rome, ItalyCentre Tisp, Istituto Superiore di Sanità, 00161 Rome, Italy<i>Motivation:</i> This study deals with the introduction of artificial intelligence (AI) in digital pathology (DP). The study starts from the highlights of a companion paper. <i>Objective:</i> The aim was to investigate the consensus and acceptance of the insiders on this issue. <i>Procedure:</i> An electronic survey based on the standardized package Microsoft Forms (Microsoft, Redmond, WA, USA) was proposed to a sample of biomedical laboratory technicians (149 admitted in the study, 76 males, 73 females, mean age 44.2 years). <i>Results:</i> The survey showed no criticality. It highlighted (a) the good perception of the basic training on both groups, and (b) a uniformly low perceived knowledge of AI (as arisen from the graded questions). Expectations, perceived general impact, perceived changes in the <i>work-flow</i>, and worries clearly emerged in the study. <i>Conclusions:</i> The of AI in DP is an unstoppable process, as well as the increase of the digitalization in the <i>health domain</i>. Stakeholders must not look with suspicion towards AI, which can represent an important resource, but should invest in monitoring and consensus training initiatives based also on electronic surveys.https://www.mdpi.com/2227-9032/9/10/1347e-healthmedical devicesm-healthdigital-pathologypicture archive and communication systemartificial intelligence |
| spellingShingle | Maria Rosaria Giovagnoli Sara Ciucciarelli Livia Castrichella Daniele Giansanti Artificial Intelligence in Digital Pathology: What Is the Future? <i>Part 2: An Investigation on the Insiders</i> Healthcare e-health medical devices m-health digital-pathology picture archive and communication system artificial intelligence |
| title | Artificial Intelligence in Digital Pathology: What Is the Future? <i>Part 2: An Investigation on the Insiders</i> |
| title_full | Artificial Intelligence in Digital Pathology: What Is the Future? <i>Part 2: An Investigation on the Insiders</i> |
| title_fullStr | Artificial Intelligence in Digital Pathology: What Is the Future? <i>Part 2: An Investigation on the Insiders</i> |
| title_full_unstemmed | Artificial Intelligence in Digital Pathology: What Is the Future? <i>Part 2: An Investigation on the Insiders</i> |
| title_short | Artificial Intelligence in Digital Pathology: What Is the Future? <i>Part 2: An Investigation on the Insiders</i> |
| title_sort | artificial intelligence in digital pathology what is the future i part 2 an investigation on the insiders i |
| topic | e-health medical devices m-health digital-pathology picture archive and communication system artificial intelligence |
| url | https://www.mdpi.com/2227-9032/9/10/1347 |
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