On the public citation graph
Understanding the ethical and legal considerations of Digital Pathology
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/path.5310openalex-snapshot
Artificial intelligence in digital pathology: a roadmap to routine use in clinical practice
inferredcites →https://doi.org/10.1002/path.5331openalex-snapshot
Computational pathology definitions, best practices, and recommendations for regulatory guidance: a white paper from the Digital Pathology Association
inferredcites →https://doi.org/10.1002/path.5388openalex-snapshot
Software‐assisted decision support in digital histopathology
inferredcites →https://doi.org/10.1007/s00292-018-0528-5openalex-snapshot
Leitfaden des Bundesverbandes Deutscher Pathologen „Digitale Pathologie in der Diagnostik – Befunderstellung an digitalen Bildern“
inferredcites →https://doi.org/10.1007/s10278-020-00351-zopenalex-snapshot
Whole Slide Imaging (WSI) in Pathology: Current Perspectives and Future Directions
inferredcites →https://doi.org/10.1016/j.socscimed.2020.113172openalex-snapshot
The ethics of AI in health care: A mapping review
inferredcites →https://doi.org/10.1016/s1470-2045(19)30154-8openalex-snapshot
Digital pathology and artificial intelligence
inferredcites →https://doi.org/10.1016/s2589-7500(20)30159-xopenalex-snapshot
An artificial intelligence algorithm for prostate cancer diagnosis in whole slide images of core needle biopsies: a blinded clinical validation and deployment study
inferredcites →https://doi.org/10.1038/s41591-019-0508-1openalex-snapshot
Clinical-grade computational pathology using weakly supervised deep learning on whole slide images
inferredcites →https://doi.org/10.1111/his.12993openalex-snapshot
Digital pathology in clinical use: where are we now and what is holding us back?
inferredcites →https://doi.org/10.1136/bmj.321.7265.890openalex-snapshot
Data protection legislation: interpretation and barriers to research
inferredcites →https://doi.org/10.1136/jclinpath-2017-204644openalex-snapshot
Future-proofing pathology: the case for clinical adoption of digital pathology
inferredcites →https://doi.org/10.1136/jclinpath-2017-204808openalex-snapshot
Digital pathology access and usage in the UK: results from a national survey on behalf of the National Cancer Research Institute’s CM-Path initiative
inferredcites →https://doi.org/10.1136/medethics-2020-107024openalex-snapshot
Ethical issues in computational pathology
inferredcites →https://doi.org/10.1159/000441192openalex-snapshot
International Clinical Guidelines for the Adoption of Digital Pathology: A Review of Technical Aspects
inferredcites →https://doi.org/10.1177/2374289521990784openalex-snapshot
The Ethics of Artificial Intelligence in Pathology and Laboratory Medicine: Principles and Practice
inferredcites →https://doi.org/10.2196/jmir.6.3.e34openalex-snapshot
Improving the Quality of Web Surveys: The Checklist for Reporting Results of Internet E-Surveys (CHERRIES)
inferredcites →https://doi.org/10.4103/2153-3539.129455openalex-snapshot
Guidelines from the Canadian Association of Pathologists for establishing a telepathology service for anatomic pathology using whole-slide imaging
inferredcites →https://doi.org/10.4103/jpi.jpi_23_20openalex-snapshot
Guidance for Remote Reporting of Digital Pathology Slides During Periods of Exceptional Service Pressure: An Emergency Response from the UK Royal College of Pathologists
inferredcites →https://doi.org/10.4103/jpi.jpi_38_19openalex-snapshot
On the Edge of a Digital Pathology Transformation: Views from a Cellular Pathology Laboratory Focus Group
inferredcites →https://doi.org/10.4103/jpi.jpi_69_18openalex-snapshot
Twenty Years of Digital Pathology: An Overview of the Road Travelled, What is on the Horizon, and the Emergence of Vendor-Neutral Archives
inferredcites →https://doi.org/10.4132/jptm.2020.08.27openalex-snapshot
Recommendations for pathologic practice using digital pathology: consensus report of the Korean Society of Pathologists
inferredcites →https://doi.org/10.5858/arpa.2018-0514-oaopenalex-snapshot
Implementation of Digital Pathology Offers Clinical and Operational Increase in Efficiency and Cost Savings
inferredcites →https://doi.org/10.5858/arpa.2018-0541-oaopenalex-snapshot
Complete Digital Pathology for Routine Histopathology Diagnosis in a Multicenter Hospital Network
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1002/bco2.70108openalex-snapshot
Exploring patient and clinician opinions, perspectives and acceptance of the use of artificial intelligence in the histological diagnosis of prostate cancer
inferred← citeshttps://doi.org/10.1002/cjp2.263openalex-snapshot
The ethical challenges of artificial intelligence‐driven digital pathology
inferred← citeshttps://doi.org/10.1002/path.5921openalex-snapshot
Developing image analysis methods for digital pathology
inferred← citeshttps://doi.org/10.1007/s00428-026-04408-2openalex-snapshot
Toward a regional digital pathology network in Tuscany: current status and implementation roadmap
inferred← citeshttps://doi.org/10.1016/b978-0-443-40383-5.00004-2openalex-snapshot
Clinical applications of digital pathology
inferred← citeshttps://doi.org/10.1016/j.bspc.2023.104812openalex-snapshot
TCNN: A Transformer Convolutional Neural Network for artifact classification in whole slide images
inferred← citeshttps://doi.org/10.1016/j.jpi.2024.100394openalex-snapshot
Globalization of a telepathology network with artificial intelligence applications in Colombia: The GLORIA program study protocol
inferred← citeshttps://doi.org/10.1016/j.jpi.2026.100749openalex-snapshot
Artificial intelligence in digital pathology: Principles, applications, challenges, and future directions
inferred← citeshttps://doi.org/10.1016/j.labinv.2024.102111openalex-snapshot
Implementation of Digital Pathology and Artificial Intelligence in Routine Pathology Practice
inferred← citeshttps://doi.org/10.1016/j.modpat.2024.100657openalex-snapshot
Making Pathologists Ready for the New Artificial Intelligence Era: Changes in Required Competencies
inferred← citeshttps://doi.org/10.1038/s41416-023-02318-7openalex-snapshot
Quantitative multiplexed imaging technologies for single-cell analysis to assess predictive markers for immunotherapy in thoracic immuno-oncology: promises and challenges
inferred← citeshttps://doi.org/10.1080/01478885.2023.2268297openalex-snapshot
Invisible for a few but essential for many: the role of Histotechnologists in the establishment of digital pathology
inferred← citeshttps://doi.org/10.1111/apm.70227openalex-snapshot
A Review on the Logistics, Financial, Ethical, and Regulatory Frameworks of Artificial Intelligence in Digital Pathology
inferred← citeshttps://doi.org/10.1136/jcp-2022-208416openalex-snapshot
Impact of the transition to digital pathology in a clinical setting on histopathologists in training: experiences and perceived challenges within a UK training region
inferred← citeshttps://doi.org/10.1146/annurev-cancerbio-062822-010523openalex-snapshot
Applications of Digital Pathology in Cancer: A Comprehensive Review
inferred← citeshttps://doi.org/10.24070/bjvp.1983-0246.v17i3p147-151openalex-snapshot
Digital pathology and artificial intelligence in veterinary medicine
inferred← citeshttps://doi.org/10.3390/bioengineering12020180openalex-snapshot
A Conceptual Framework for Applying Ethical Principles of AI to Medical Practice
inferred← citeshttps://doi.org/10.3390/diagnostics12051225openalex-snapshot
The Use of Digital Pathology and Artificial Intelligence in Histopathological Diagnostic Assessment of Prostate Cancer: A Survey of Prostate Cancer UK Supporters
inferred← citeshttps://doi.org/10.3390/jmp7010002openalex-snapshot
The Role of Whole Slide Imaging in AI-Based Digital Pathology: Current Challenges and Future Directions—An Updated Literature Review
inferred← citeshttps://doi.org/10.5858/arpa.2023-0385-edopenalex-snapshot
Remote Pathology Practice: The Time for Remote Diagnostic Pathology in This Digital Era is Now
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