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Digital Pathology : Implementation in Clinical Practice with AI Applications / edited by Meera Hameed and Matthew G. Hanna.
- Format:
- Book
- Language:
- English
- Subjects (All):
- Artificial intelligence--Medical applications.
- Artificial intelligence.
- Pathology--Data processing.
- Pathology.
- Physical Description:
- 1 online resource (353 pages)
- Edition:
- First edition.
- Place of Publication:
- London, England : Academic Press, [2025]
- Summary:
- Digital Pathology: Implementation in Clinical Practice with AI Applications covers digital pathology applications in a clinical pathology laboratory setting, providing guidance and various tools for practical implementation.
- Contents:
- Front Cover
- Digital Pathology
- Copyright Page
- Contents
- List of contributors
- Preface
- Acknowledgment
- 1 Basics of digital pathology
- Introduction
- Digital imaging basics
- Digital pathology timeline
- Digital pathology ecosystem
- Digital photomicroscopy
- Gross imaging
- Video streaming
- Whole slide scanning
- Monitors/display devices
- Input devices for digital pathology
- Mouse and keyboard interactions
- Touchscreen displays
- 3D input devices
- Voice and gesture recognition
- Augmented reality and virtual reality
- Microscope attachments for mobile devices
- Interoperability and standards in digital pathology
- Applications
- Challenges/limitations
- References
- 2 The seven S's for success
- Technology adoption
- Sponsorship from leadership
- Space allocation
- Assessment of current space utilization
- Ergonomics and user experience
- Staffing resources
- Scanner considerations
- Imaging mode
- Slide throughput/continuous load
- Scan speeds
- Slide size/format
- Magnification/resolution
- Flexibility in scan area
- Live viewing needs
- Multi z-plane support
- Rescan rates
- Whole slide image file format
- Lab space/countertop weight load
- User experience
- Storage
- Software
- Service and maintenance
- Honorable mention
- Standards
- Conclusion
- 3 Building a business case for digital pathology
- Understanding the costs associated with digital pathology
- Acquisition and ongoing costs
- Digital scanners cost
- Other scanner-related costs
- Scanner service and maintenance
- Preventative maintenance
- Scanner downtime cost
- Research and development cost
- Staffing
- Servers and data storage
- Digital pathology specific software solutions infrastructure
- Overhead expenses.
- Total cost of infrastructure
- Financial benefits of digital pathology
- Additional revenue
- Cost avoidance and savings
- Hybrid analog and digital pathology workflows
- Creating a business plan
- Digital pathology cost calculators
- Understanding financial indicators
- Discussion
- 4 Preanalytic factors in digital pathology implementation
- Basic histology workflow
- Accession
- Specimen grossing and fixation
- Tissue processing
- Tissue embedding
- Microtomy
- Staining
- Digital pathology in histology laboratory
- Artifacts
- Immunohistochemistry and special stains
- Logistical challenges
- Adoption of whole slide imaging workflow
- 5 Quality management in digital pathology: analytic and postanalytic phases
- Digital pathology process: preanalytical, analytical, and postanalytical phases
- Ensuring image quality: multicheckpoint process
- Analytic step
- Scanner level quality checkpoint
- Scanner quality variability
- Barcode quality considerations
- Postanalytic step quality factors
- Whole slide image viewer software
- Display monitors
- Automated digital slide quality tools
- Image quality and computational pathology tools
- Published quality error rates
- Digital pathology quality management systems
- Establishing quality and performance metrics
- The cost of quality
- Conclusions
- 6 Use cases in surgical pathology
- Telepathology
- Diagnostic accuracy and feasibility
- Intraoperative consultation
- Primary diagnosis
- Tumor detection and classification
- Metastases detection in lymph nodes
- Quantitative biomarker detection
- Prediction of genetic mutation on hematoxylin and eosin whole slide images
- Image-based prognosis and outcome prediction
- Summary
- 7 Use cases in cytology.
- Introduction
- Whole slide imaging in cytopathology
- Whole slide images for primary diagnosis
- AI applications for primary diagnosis of cytology images
- Practical considerations for the development and deployment of AI solutions for primary diagnosis
- Digital imaging for education
- Telecytology
- Telecytology configurations
- Rapid onsite evaluation
- AI applications in rapid onsite evaluation telecytology
- Telecytology for primary diagnosis and expert consultation
- 8 Regulatory aspects of digital pathology
- Food and Drug Administration regulations in digital pathology whole slide imaging devices
- History of whole slide imaging and Food and Drug Administration regulation
- Food and Drug Administration perspective on whole slide imaging components
- Background and history of Clinical Laboratory Improvement Amendment and remote whole slide imaging sign-out
- A brief history of Clinical Laboratory Improvement Amendment
- Defining remote
- Defining what constitutes a primary diagnosis in digital pathology
- Remote sign-out and CLIA'88
- Ramifications and requirements for the enforcement discretion "Waiver"
- Continued enforcement discretion "Waiver"
- Accreditation
- CAP inspectors will look for the sampling records (documentation) for training and system validation
- Whole slide imaging user training
- Whole slide imaging system validation/verification
- Validation is not verification-clarification of confusing terminologies (CAP perspective)
- Validation-"Did I do the right thing?"
- Verification-"Did I do the thing right?"
- General guiding principles for the whole slide imaging validation/verification process
- Additional considerations around remote primary sign-out through digital pathology
- Risks of using digital pathology for remote sign-out.
- Standard operating procedures to cover for remote sign-out procedures
- HIPAA/Privacy-related considerations
- Role of hospital IT when implementing remote sign-out
- Validation of digital pathology platforms prior to engaging in remote sign-out, particularly during an emergency
- Validating/verifying monitors or laptops from remote locations, particularly if the digital pathology system is already val...
- A minimal required specifications for hardware and software for use in remote sign-out
- Role of the Food and Drug Administration on remote whole slide imaging sign-out
- Medicolegal considerations
- Diagnostic procedures remotely reportable and billable from a non-CLIA-licensed facility under the waiver
- Billing
- Legislation potentially affecting digital pathology regulation
- What has happened so far with VALID?
- Food and Drug Administration moving forward with rulemaking on diagnostic testing regulation
- An editorial on VALID and the feature of Food and Drug Administration overreach
- Concluding thoughts on legislation regulating laboratory-developed tests
- 9 Standards in digital pathology
- Standards and interoperability in digital pathology
- What is a standard and why is it important?
- Who develops standards?
- Types of standards in healthcare that support digital pathology
- Standards for digital pathology in more detail
- Enhancing interoperability
- Closing remarks
- 10 The basics of machine learning and artificial intelligence
- "Shallow" learning
- Deep learning
- Convolutional neural networks
- Recurrent neural networks
- Generative models: autoencoders and generative adversarial networks
- Reinforcement learning
- ChatGPT: everything, everywhere, all at once
- Things to come
- Summary and overview
- References for further reading.
- 11 Academic industry partnerships
- Digital pathology clinical trials
- Academic industry partnership benefits
- Risks associated with academic industry partnership
- Academia versus industry priorities
- Contracts
- Innovation cycle
- The pathologist's role
- Disclosure and conflict of interest
- Intellectual property
- Disclosures
- 12 Ethical aspects of using artificial intelligence in digital and computational pathology
- The shift from pathology to digital and computational pathology
- Ethical concerns in leveraging artificial intelligence in digital pathology and computational pathology
- Bias and fairness
- Addressing bias and equity in healthcare
- Ethical concerns pertaining to patient privacy and choice
- Ethical concerns pertaining to ownership and control of patient data
- Regulation of artificial intelligence and machine learning and oversight
- Successful artificial intelligence case studies in digital pathology and computational biology
- Predicting patient outcomes with multimodal data integration
- Stratifying prostate cancer risk
- Augmenting pathologists in prostate cancer detection
- Achieving ethical use of artificial intelligence in digital pathology
- Funding
- 13 Next-generation imaging in pathology
- Why next-gen imaging matters
- Looking beyond whole slide imaging
- What makes a new imaging tech relevant to pathology?
- What is the new tech and how does it work?
- Stimulated Raman histology
- Photoacoustic microscopy
- Microscopy with ultraviolet surface excitation and fluorescence imitating brightfield illumination
- Optical coherence tomography/optical coherence microscopy
- Confocal microscopy
- Selective plane illumination microscopy (lightsheet)
- Multiphoton microscopy.
- A note on 3D imaging.
- Notes:
- Includes bibliographical references and index.
- Description based on publisher supplied metadata and other sources.
- Description based on print version record.
- ISBN:
- 9780443138102
- 0443138109
- OCLC:
- 1477224333
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