SEM 2 Lecture 7

Digital Pathology and Telepathology for diagnostics

Digital pathology

Shift from traditional glass slide microscopy to a digital environment for the acquisition, management, and interpretation of pathology information.

High-quality slide preparation

Tissue labeling verification

Pre-Scanning Quality Control

Scanner calibration

Digital pathology system validation

System-Level Quality Control

Image quality assessment

Post-Scanning Quality Control

Image analysis quality control

Ongoing Quality Control

Preventing duplicated work

Swiftly resolving issues

Guaranteeing high-quality data

Fostering trust in data quality

Maximizing data

ADVANTAGES OF A ROBUST QUALITY CONTROL PROCESS

SPEED

ACCESSIBILITY

ENHANCED COLLABORATION

IMPROVED DATA MANAGEMENT

WHY DOES DIGITAL PATHOLOGY MATTER?

Image Analysis Applications

Molecular Prediction Capabilities

Natural Language Processing Applications

Multimodal Integration

CURRENT AI APPLICATIONS IN DIGITAL PATHOLOGY

TECHNICAL AND INFRASTRUCTURE CHALLENGES

High Initial Investment

Storage and Bandwidth Requirements

Technical Troubleshooting

Resistance to change
Digital Literacy and Workflow Adaptation

HUMAN FACTORS AND TRAINING