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Integrating artificial intelligence in pathology: a qualitative . . . Introduction Artificial Intelligence (AI) technologies are increasingly being developed for image-based diagnostics For pathology, these technologies promise to support pathologists in time-consuming and repetitive tasks1, 2 and may also move the field forward towards new knowledge, discoveries and “breakthroughs” 1, 3
Digital Pathology and Artificial Intelligence (AI) This case study showcases the value of patient involvement and engagement (PPIE) events to inform the design and delivery of a research project into the use of AI in digital pathology
Making AI’s Impact on Pathology Visible: Using . . . - Springer The field of pathology is currently undergoing fundamental changes, including the transition from analog to digital workspaces and the integration of Artificial Intelligence (AI) into digital diagnostic workflows Discussing the ethical implications of these changes is complicated by the fact that both laypersons and medical professionals know relatively little about the ways pathologists
Integrating artificial intelligence in pathology: a qualitative . . . Introduction Artificial Intelligence (AI) technologies are increasingly being developed for image-based diagnostics For pathology, these technologies promise to support pathologists in time-consuming and repetitive tasks 1, 2 and may also move the field forward towards new knowledge, discoveries and “breakthroughs” 1, 3 Such algorithm-based technologies have been developed for metastases
Making Pathologists Ready for the New Artificial Intelligence Era . . . Because current EPAs do not sufficiently address the need to train pathologists in developing expertise related to technology evaluation and implementation, we propose a new EPA to enable pathology training programs to make pathologists fit for the new AI era “using AI in diagnostic pathology practice” and outline its associated competencies
Making Pathologists Ready for the New Artificial Intelligence Era . . . In recent years, there has been an increasing interest in developing and using artificial intelligence (AI) models in pathology Although pathologists generally have a positive attitude toward AI, they report a lack of knowledge and skills regarding how to use it in practice Furthermore, it remains unclear what skills pathologists would require to use AI adequately and responsibly However
The Promise of AI for Image-Driven Medicine: Qualitative Interview . . . Methods We have conducted the first qualitative interview study investigating the perspectives of both radiologists and pathologists regarding the integration of AI in their fields The study design is in accordance with the consolidated criteria for reporting qualitative research (COREQ)
Implementing digital pathology: qualitative and financial insights from . . . Digital Pathology (DP) revolutionizes the diagnostic workflow Digitized scanned slides enhance operational efficiency by facilitating remote access, slide storage, reporting and automated AI image analysis, and enabling collaboration and research However, substantial upfront and maintenance costs remain significant barriers to adoption This study evaluates DP’s financial and qualitative
Integrating artificial intelligence in pathology: a qualitative . . . Aims A survey of members of the UK Liver Pathology Group (UKLPG) was conducted, comprising consultant histopathologists from across the UK who report liver specimens and participate in the UK National Liver Pathology External Quality Assurance scheme The aim of this study was to understand attitudes and priorities of liver pathologists towards digital pathology and artificial intelligence (AI