Clinical Scorecard: Industry Insights: Scanning the Path Ahead
At a Glance
| Category | Detail |
|---|---|
| Condition | Digital pathology and digital slide scanning |
| Key Mechanisms | Digital scanning enables screen-based slide review. The interviewee describes potential future workflows in which scanning and AI analysis occur in parallel, with preliminary case triage. Quality-control algorithms can assess image focus and quality and aspects of tissue or sample preparation. |
| Target Population | Pathologists, pathology students and residents, technicians, and laboratories considering or using digital pathology. |
| Care Setting | Pathology laboratory workflows involving slide scanning, digital image review, and quality control. |
Key Highlights
- The interviewee identifies scanner and system cost, along with established microscope habits, as barriers to wider adoption.
- The interviewee says residents and pathology students are increasingly trained using digital pathology and that some entering practice seek laboratories with established digital workflows.
- The interviewee describes a potential future in which scanning and AI analysis occur in parallel, with preliminary case triage.
- Automated quality control can assess image focus and quality, flag images that do not meet required standards, and identify aspects of tissue or sample preparation.
- The interviewee says affordability needs greater focus across the industry to make digital pathology more accessible to laboratories.
Guideline-Based Recommendations
Diagnosis
Management
- The interviewee says affordability should receive greater industry focus to make digital pathology more accessible to laboratories.
- The interviewee describes parallel scanning and AI analysis, including preliminary triage, as a potential future direction.
Monitoring & Follow-up
- The interview describes quality-control algorithms that assess image focus and quality and flag images that do not meet required standards.
- The interviewee says quality-control systems can also assess aspects of tissue or sample preparation.
Risks
- The interviewee says poor-quality slides can produce poor-quality images, and analytics may not perform as intended on those images.
- The interview identifies high costs and adjustment from microscope-based work habits to digital interfaces as adoption barriers.
Patient & Prescribing Data
Not discussed; the article focuses on digital pathology technology and laboratory workflows.
No patient treatments or prescribing information are provided.
Clinical Best Practices
- The interview describes assessing slide and image quality as part of digital scanning workflows.
- The interview describes flagging images that do not meet required quality standards.
- The interviewee notes that moving from microscope-based to digital workflows involves an adjustment period.
Related Resources & Content
This content is an AI-generated, fully rewritten summary based on a published scholarly article. It does not reproduce the original text and is not a substitute for the original publication. Readers are encouraged to consult the source for full context, data, and methodology.
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About the Author(s)
Helen Bristow
Combining my dual backgrounds in science and communications to bring you compelling content in your speciality.