Human–Machine Collaboration in Diagnostics: Exploring the Synergy in Clinical Imaging with Artificial Intelligence

Pirrera, Antonia; Giansanti, Daniele

doi:10.3390/diagnostics13132162

Cited by 4 publications

(4 citation statements)

References 19 publications

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“…Budhwar et al (2023) pointed to the fact that artificial intelligence transforms human resources management (HRM), evaluatingmore precisely and correctlythe labour efficiency of each employee. Pirrera and Giansanti (2023) substantiated the advantage of man-machine cooperation in the diagnostics of diseases in healthcare in the form of a synergetic effect of clinical visualisation with artificial intelligence. Murugesan et al (2023) proved the positive impact of artificial intelligence on the digitalisation of human resources in Industry 4.0.…”

Section: Literature Reviewmentioning

confidence: 92%

Development of the potential of the digital economy of Russian regions through artificial intelligence humanisation

Ekimova

2023

Humanit Soc Sci Commun

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This paper is aimed at balancing the interests of business and society in the digital economy, to reduce the social risks of the Fourth Industrial Revolution. The goal of this paper is to study the experience and prospects of the humanisation of AI through the improvement of the practice of corporate social responsibility in Russia. By the example of the experience of Russian regions in 2021, we use econometric modelling to prove that the digital regional economy has a large potential in the sphere of humanisation of AI. The potential for the humanisation of AI in the digital economy of Russian regions is determined by responsible innovations, responsible production and logistics, as well as responsible marketing and sales, which contribute to the implementation of SDGs 9–12. The theoretical significance of the paper lies in its presenting smart region as a socio-economic environment for the humanisation of AI. The scientific novelty of the paper lies in its offering a new—meso-level—view of the humanisation of AI. The advantages of the new view include, first, consideration of socio-economic conditions for the humanisation of AI in a region; second, the most precise identification and correct measuring of the consequences of humanisation of AI for the quality of life in a region. The practical significance of the research results consists in the fact that the new proposed approach to the humanisation of AI, which implies public administration of this process at the level of a region, allows accelerating the considered process.

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Section: Literature Reviewmentioning

confidence: 92%

Development of the potential of the digital economy of Russian regions through artificial intelligence humanisation

Ekimova

2023

Humanit Soc Sci Commun

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“…While radiology swiftly embraced DICOM standardization, leading to expanded data exchange capabilities and the proliferation of remote diagnostics, digital pathology faced delays in this integration with the DICOM Whole Slide Image [67][68][69] and this had a consequent effect on its integration with the innovative technologies in the health domain.…”

Section: Standardization Of Imaging In Digital Pathology and Radiolog...mentioning

confidence: 99%

“…While digital radiology has swiftly integrated into the digital healthcare landscape, digital pathology has faced challenges in standardization and integration [66-69]. While digital radiology swiftly embraced DICOM standardization, digital pathology encountered challenges due to specialized adaptations and longer release times [67][68][69]. This difference in the pace of integration underscores the diverse nature of imaging modalities within healthcare and highlights the need for tailored approaches to integration and standardization.…”

Section: Key Considerations On Harmonization and Alignments In Terms ...mentioning

confidence: 99%

Exploring Augmented Reality Integration in Diagnostic Imaging: Myth or Reality?

Lastrucci,

Wandael,

Barra

et al. 2024

Diagnostics

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This study delves into the transformative potential of integrating augmented reality (AR) within imaging technologies, shedding light on this evolving landscape. Through a comprehensive narrative review, this research uncovers a wealth of literature exploring the intersection between AR and medical imaging, highlighting its growing prominence in healthcare. AR’s integration offers a host of potential opportunities to enhance surgical precision, bolster patient engagement, and customize medical interventions. Moreover, when combined with technologies like virtual reality (VR), artificial intelligence (AI), and robotics, AR opens up new avenues for innovation in clinical practice, education, and training. However, amidst these promising prospects lie numerous unanswered questions and areas ripe for exploration. This study emphasizes the need for rigorous research to elucidate the clinical efficacy of AR-integrated interventions, optimize surgical workflows, and address technological challenges. As the healthcare landscape continues to evolve, sustained research efforts are crucial to fully realizing AR’s transformative impact in medical imaging. Systematic reviews on AR in healthcare also overlook regulatory and developmental factors, particularly in regard to medical devices. These include compliance with standards, safety regulations, risk management, clinical validation, and developmental processes. Addressing these aspects will provide a comprehensive understanding of the challenges and opportunities in integrating AR into clinical settings, informing stakeholders about crucial regulatory and developmental considerations for successful implementation. Moreover, navigating the regulatory approval process requires substantial financial resources and expertise, presenting barriers to entry for smaller innovators. Collaboration across disciplines and concerted efforts to overcome barriers will be essential in navigating this frontier and harnessing the potential of AR to revolutionize healthcare delivery.

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“…I value this opportunity to address the points raised in the commentary, and to engage in a communication that can hopefully enrich the collective understanding of the role of artificial intelligence (AI) in healthcare education, research, and practice. This aim was one of the initial motivations of the review in light of the ongoing debate surrounding AI's benefits and risks and its potential impact on the academic landscape, with a special focus on the healthcare domain given the widespread use of ChatGPT [3][4][5].…”

mentioning

confidence: 99%

Reply to Moreno et al. Comment on “Sallam, M. ChatGPT Utility in Healthcare Education, Research, and Practice: Systematic Review on the Promising Perspectives and Valid Concerns. Healthcare 2023, 11, 887”

Sallam

2023

Healthcare

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Human–Machine Collaboration in Diagnostics: Exploring the Synergy in Clinical Imaging with Artificial Intelligence

Abstract: Advancements in artificial intelligence (AI), thanks to IT developments during the COVID-19 pandemic, have revolutionized the field of diagnostics, particularly in clinical imaging [...]

Cited by 4 publications

References 19 publications

Development of the potential of the digital economy of Russian regions through artificial intelligence humanisation

Development of the potential of the digital economy of Russian regions through artificial intelligence humanisation

Exploring Augmented Reality Integration in Diagnostic Imaging: Myth or Reality?

Reply to Moreno et al. Comment on “Sallam, M. ChatGPT Utility in Healthcare Education, Research, and Practice: Systematic Review on the Promising Perspectives and Valid Concerns. Healthcare 2023, 11, 887”

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