Digital Pathology (DP) and Artificial Intelligence (AI) can be useful in low-and middle-income
countries; however, many challenges exist. The United Nations developed sustainable …

Background Recent studies demonstrate the potential of Artificial Intelligence to support
diagnosis, mortality assessment, and clinical decisions in low-and-middle-income countries …

Low-and middle-income countries (LMICs) represent a big source of data not only for
endemic diseases but also for neoplasms. Data is the fuel which drives the modern era …

Digital pathology (DP) has become a part of the cancer healthcare system, creating
additional value for cancer patients. DP implementation in clinical practice provides plenty of …

This study explored the integration and impact of artificial intelligence (AI) in diagnostic
pathology, particularly dermatopathology, assessing its challenges and potential solutions …

Background To promote shared digital health best practices in a global context, as agreed
within the Global Digital Health Partnership (GDHP), one of the most important topics to …

Simple Summary The combination of digital pathology (DP) with artificial intelligence (AI)
offers faster, more accurate, and more comprehensive diagnoses, resulting in more precise …

Objective Digital pathology (DP) is currently in the spotlight and is rapidly gaining ground,
even though the history of this field spans decades. Despite great technological progress …

Motivation: This study deals with the introduction of artificial intelligence (AI) in digital
pathology (DP). The study starts from the highlights of a companion paper. Objective: The …

Background Digital health solutions that operate with or without artificial intelligence (D/AI)
raise several responsibility challenges. Though many frameworks and tools have been …