Miguel Mascarenhas – författare

Artificial Intelligence in Capsule Endoscopy: A Gamechanger for a Groundbreaking Technique highlights the importance of Artificial Intelligence (AI) application in capsule endoscopy. AI will have a key role in the mid/long-term for gastrointestinal endoscopy and capsule endoscopy. This field is a prime area for the use of AI tools with over 50,000 images per endoscopy capsule video, making video analysis a time and resource consuming task and prone to error. With the application of AI image analysis tools (primarily Convolutional Neural Networks) we can decrease capsule endoscopy video reading time and resources and greatly benefit diagnostic accuracy and patient outcomes.

In 15 chapters, this important reference provides a global and comprehensive perspective from the background information of AI, machine learning, deep learning and their implications in GI endoscopy. It showcases AI practical use in lesion detection and in relevant clinical indications (like obscure gastrointestinal bleeding and inflammatory bowel disease), and points to future applications of AI within the field.

Provides the current and developing practical application of AI tools in capsule endoscopy Explains the disruptive nature of AI tools in capsule endoscopy video analysis to provide a better perspective on how AI will change the landscape of capsule endoscopy practice in the future Includes specific lesion detection, delivering key summaries and practical applications regarding AI tools use Bridges theorical foundations and practical utility of AI in capsule endoscopy

This book presents a review of the state-of-the-art knowledge on the interactions between biodiversity and wind energy development, focused on the Portuguese reality. The volume addresses the particularities of the impact assessment procedures in Portugal, contrasting it with the international practices and presenting its main findings by covering the following broader themes: i) evaluation of spatial and temporal dynamics of wildlife affected by wind farms, including birds, bats and terrestrial mammals (in particularly Portuguese wolf population); ii) the methodologies used to assess impacts caused by this type of developments in biodiversity; iii) the best practice methodologies to implement an adaptive management approach to reconcile biodiversity and wind farms. The knowledge presented in this book was gathered through the research and development activities developed by Bioinsight company (former Bio3 company) during the last 13 years and partially funded by a R&Dproject designated as “Integrated solutions for biodiversity management at wind farms: reduce and compensate bird and bat mortality” (acronym: Wind & Biodiversity), co-funded by the European Regional Development Fund (FEDER), under the Regional Operational Programme of Centre (Mais Centro). This volume fills a void in the literature as a book giving insights on the best practices to install and manage a wind farm from a biodiversity management point of view, while establishing a commitment between economic sustainability and biodiversity conservation.