Deep Learning (DL), a groundbreaking branch of Machine Learning (ML), has emerged as a
driving force in both theoretical and applied Artificial Intelligence (AI). DL algorithms, rooted …

In the past decades there has been a substantial evolution in data management and data
processing techniques. New data architectures made analysis of big data feasible …

Background Inflammatory bowel disease (IBD) is a gastrointestinal chronic disease with an
unpredictable disease course. Computational methods such as machine learning (ML) have …

This book focuses on deep learning (DL), which is an important aspect of data science, that
includes predictive modeling. DL applications are widely used in domains such as finance …

The pace of Land Use/Land Cover (LULC) change has accelerated due to population
growth, industrialization, and economic development. To understand and analyze this …

Purpose Learner development and promotion rely heavily on narrative assessment
comments, but narrative assessment quality is rarely evaluated in medical education …

Introduction Diagnosis and therapeutic management in ulcerative colitis (UC) relies on a
combination of endoscopic and histological scorings which are difficult to objectively …

Over the past decade, technological advances in deep learning have led to the introduction
of artificial intelligence (AI) in medical imaging. The most commonly used structure in image …

Having a complete hydrological time series is crucial for water-resources management and
modeling. However, this can pose a challenge in data-scarce environments where data …

Artificial intelligence research in health care has undergone tremendous growth in the last
several years thanks to the explosion of digital health care data and systems that can …