A pressing challenge in medical research is to identify optimal treatments for individual
patients. This is particularly challenging in mental health settings where mean responses …

Automatic human action recognition of children with machine learning and deep learning
methods using play-based videos can lead to developmental monitoring, early identification …

Health is often qualitatively defined as a status free from disease and its quantitative
definition requires finding the boundary separating health from pathological conditions …

Artificial intelligence (AI) is rapidly advancing and significantly impacting clinical care and
treatment. Machine learning and deep learning, as core digital AI technologies, are being …

Autism spectrum disorder (ASD) is a chronic and extremely heterogeneous
neurodevelopmental disorder, difficult to diagnose and with a still unclear multifactorial …

Summary The term,“Healthcare 4.0” has been introduced from the Industry 4.0. The
virtualization and automation in healthcare is included in Healthcare 4.0. The Industry 4.0 …

Background Artificial intelligence (AI) is more and more widely used in cancer, which is of
great help to doctors in diagnosis and treatment. This study aims to summarize the current …

Introduction Neurodevelopment and related mental disorders (NDDs) are one of the most
frequent disabilities among young people. They have complex clinical phenotypes often …

The lack of attention to sex and gender biases in biomedicine and healthcare hinders the
advancement toward Precision Medicine. This chapter introduces a unified framework that …

В статье представлен обзор преимуществ и проблем, связанных с использованием
искусственного интеллекта (ИИ) и машинного обучения (МО) в медицине. На …