The Artificial Intelligence in Digital Pathology and Digital Radiology: Where Are We?

Giansanti, Daniele

doi:10.3390/healthcare9010030

Cited by 16 publications

(14 citation statements)

References 9 publications

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“…We are undoubtedly about to face another important change in the world of digital radiology [ 14 ]: the introduction of AI in clinical practice. During the pandemic, the importance and potential of AI clearly emerged in two sectors of digital radiology: chest CT and chest radiography [ 15 , 16 , 17 , 18 , 43 ].…”

Section: Discussionmentioning

confidence: 99%

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The Artificial Intelligence in Digital Radiology: Part 2: Towards an Investigation of acceptance and consensus on the Insiders

et al. 2022

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Background. The study deals with the introduction of the artificial intelligence in digital radiology. There is a growing interest in this area of scientific research in acceptance and consensus studies involving both insiders and the public, based on surveys focused mainly on single professionals. Purpose. The goal of the study is to perform a contemporary investigation on the acceptance and the consensus of the three key professional figures approaching in this field of application: (1) Medical specialists in image diagnostics: the medical specialists (MS)s; (2) experts in physical imaging processes: the medical physicists (MP)s; (3) AI designers: specialists of applied sciences (SAS)s. Methods. Participants (MSs = 92: 48 males/44 females, averaged age 37.9; MPs = 91: 43 males/48 females, averaged age 36.1; SAS = 90: 47 males/43 females, averaged age 37.3) were properly recruited based on specific training. An electronic survey was designed and submitted to the participants with a wide range questions starting from the training and background up to the different applications of the AI and the environment of application. Results. The results show that generally, the three professionals show (a) a high degree of encouraging agreement on the introduction of AI both in imaging and in non-imaging applications using both standalone applications and/or mHealth/eHealth, and (b) a different consent on AI use depending on the training background. Conclusions. The study highlights the usefulness of focusing on both the three key professionals and the usefulness of the investigation schemes facing a wide range of issues. The study also suggests the importance of different methods of administration to improve the adhesion and the need to continue these investigations both with federated and specific initiatives.

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Section: Discussionmentioning

confidence: 99%

“…Those imaging sectors using DICOM are united under the hat of digital radiology [ 10 , 11 , 12 , 13 ]. Now, we are facing the possible impact of research on the health domain [ 14 ]. An important engine in this context is represented by the research efforts during the COVID-19 pandemic.…”

Section: Introductionmentioning

confidence: 99%

The Artificial Intelligence in Digital Radiology: Part 2: Towards an Investigation of acceptance and consensus on the Insiders

et al. 2022

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Section: Discussionmentioning

confidence: 99%

“…14,15 Use of technology especially smartphones and social media for the intention of education is the new trend and is supported by research also where students can improve their learning process and it also complemented the conventional methods. 16,17 Efficient use of e-learning apps like MS Office, zoom, teams, canvas, google Classroom, LMS, and access to online study material/power point presentations showed an overall better response in all students but was more in 3rd-semester students as compare to 1st-semester students. These findings are consistent with studies done in private institutes where due to the availability of resources these institutes were able to develop online teaching material on time as they had both monetary and human resources to embark on this difficult venture.…”

Section: A H E a D O F P R I N Tmentioning

confidence: 99%

Perception of Master of Public Health Students regarding E-Learning in Covid-19 Era: A New Normal in Lower- and Middle-Income Countries

Aleem

Mahsood

Kibria³

et al. 2022

Pak J Med Sci

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Objectives: To explore the perception of postgraduate public health students regarding e-learning in context to Covid-19 pandemic and its effect on their academic performances Methods: This cross-sectional study was conducted at Sarhad Institute of Health Science, SUIT Peshawar from 3rd October 2020 to 4th February 2021. The Census method was incorporated for sample selection. Participation in the study was subjected to consent by participants. A self-administered questionnaire was used for data collection. Data was analyzed using SPSS Version-26. Results: Out of 95 participants, 72 (75.8%) were males and 23 (24.2%) were females. The mean grade point average (GPA) of previous semester-1 and semester-2, when they were having a conventional education system on campus before the pandemic was 2.741±0.499 and 2.643±.498 respectively. The current mean GPA of semesters 1, 2, and 3 who had online classes during this pandemic was 2.41±0.66, 3.06±0.51, and 2.80±0.47 respectively. Fifty-one (53.7%) students preferred to use mobile for e-learning. Convenience to the use-learning management system (LMS) was 67.4% and 72.6% responded that their academic performance was positively affected by e-learning. Logistic regression revealed that source of learning (p 0.99), uninterrupted internet (p 0.87), convenience with LMS (p 0.17), stress (p 0.505), convenient communication with faculty (p 0.69), and compatibility with professional routine (p 0.21) were not significantly associated with good academic performance, however, students of semester 2 (p 0.001) and those using laptops (p 0.02) were more likely to get a GPA of 3.0 or above Conclusions: Students in this study had a positive perception regarding e-learning however, there is a definite need to amalgamate both online and on-campus learning modalities for post-graduate students especially during the uncertain situations. doi: https://doi.org/10.12669/pjms.38.3.4626 How to cite this:Aleem S, Mahsood N, Kibria Z, Gul R. Perception of Master of Public Health Students regarding E-Learning in Covid-19 Era: A New Normal in Lower- and Middle-Income Countries. Pak J Med Sci. 2022;38(3):---------. doi: https://doi.org/10.12669/pjms.38.3.4626 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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“…The radiology and pathology workflow can certainly benefit from a routine use of Artificial Intelligence. The advantages that could derive from this seem important [ 1 ]. They range from lightening the workload to quality control of the instrumentation.…”

Section: Introductionmentioning

confidence: 99%

The Artificial Intelligence in Digital Radiology: Part 1: The Challenges, Acceptance and Consensus

Giansanti

Basilio

2022

Healthcare

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Artificial intelligence is having important developments in the world of digital radiology also thanks to the boost given to the research sector by the COVID-19 pandemic. In the last two years, there was an important development of studies focused on both challenges and acceptance and consensus in the field of Artificial Intelligence. The challenges and acceptance and consensus are two strategic aspects in the development and integration of technologies in the health domain. The study conducted two narrative reviews by means of two parallel points of view to take stock both on the ongoing challenges and on initiatives conducted to face the acceptance and consensus in this area. The methodology of the review was based on: (I) search of PubMed and Scopus and (II) an eligibility assessment, using parameters with 5 levels of score. The results have: (a) highlighted and categorized the important challenges in place. (b) Illustrated the different types of studies conducted through original questionnaires. The study suggests for future research based on questionnaires a better calibration and inclusion of the challenges in place together with validation and administration paths at an international level.

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The Artificial Intelligence in Digital Pathology and Digital Radiology: Where Are We?

Abstract: Thanks to the incredible changes promoted by Information and Communication Technology (ICT) conveyed today by electronic-health (eHealth) and mobile-health (mHealth), many new applications of both organ and cellular diagnostics are now possible [...]

Cited by 16 publications

References 9 publications

The Artificial Intelligence in Digital Radiology: Part 2: Towards an Investigation of acceptance and consensus on the Insiders

The Artificial Intelligence in Digital Radiology: Part 2: Towards an Investigation of acceptance and consensus on the Insiders

Perception of Master of Public Health Students regarding E-Learning in Covid-19 Era: A New Normal in Lower- and Middle-Income Countries

The Artificial Intelligence in Digital Radiology: Part 1: The Challenges, Acceptance and Consensus

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