Digital Pathology and Telepathology: Integrating AI-driven Sustainable Solutions into Healthcare Systems

Digital pathology is a rapidly evolving field where traditional histopathology is transforming through digital technologies and artificial intelligence (AI). This evolution fosters significant advancements in diagnostic accuracy, data management, and remote pathology services, often referred to as telepathology.

Despite the progress, an ongoing debate persists regarding the reliability, regulatory guidelines, and implementation of these technologies in standard healthcare systems. Recent studies focus on AI-driven algorithms that enhance image analysis, improve diagnostic precision, and reduce the time required for pathology workflows. However, these innovations come with challenges, such as data security, integration with existing healthcare systems, and ensuring the sustainability of AI solutions.

This Research Topic aims to explore the integration of AI-driven solutions into digital pathology and telepathology to create sustainable healthcare systems. The goal is to address questions such as how AI can improve diagnostic workflows, the cost-effectiveness of implementing digital pathology, and the potential impact on patient outcomes. Additionally, the Research Topic seeks to investigate the role of telepathology in enhancing access to specialised pathology services, particularly in resource-limited settings.

To gather further insights into integrating AI into healthcare, we welcome articles addressing, but not limited to, the following themes:

• Advances in AI algorithms for digital pathology
• Cost-benefit analysis of digital pathology implementations
• Implementation challenges and solutions in telepathology
• Data security and privacy in AI-driven pathology systems
• Impact assessment of AI on diagnostic accuracy and efficiency

We invite original research, reviews, case studies, and opinion pieces that contribute to this transformative field.

Keywords: digital pathology, telepathology, artificial intelligence in pathology, sustainable healthcare, AI-driven healthcare solutions

Important note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.