Artificial intelligence (AI) applications have transformed healthcare. This study is based on a
general literature review uncovering the role of AI in healthcare and focuses on the following …

The advancement of precision medicine in medical care has led behind the conventional
symptom-driven treatment process by allowing early risk prediction of disease through …

Искусственным интеллектом (ИИ) называют способность алгоритмов, закодированных
в технологии, обучаться на основе данных, чтобы они могли выполнять …

Background Following visible successes on a wide range of predictive tasks, machine
learning techniques are attracting substantial interest from medical researchers and …

Computational linguistics has enabled the introduction of objective tools that measure some
of the symptoms of schizophrenia, including the coherence of speech associated with formal …

Background Research in embodied artificial intelligence (AI) has increasing clinical
relevance for therapeutic applications in mental health services. With innovations ranging …

Objective There are many barriers to accessing mental health assessments including cost
and stigma. Even when individuals receive professional care, assessments are intermittent …

Background Machine learning systems are part of the field of artificial intelligence that
automatically learn models from data to make better decisions. Natural language processing …

Artificial intelligence (AI) innovation in healthcare has emerged as an increasingly significant
area of research. AI, digital data collection, and computer infrastructure advancements have …

Traditionally, psychiatry has offered clinical insights through keen behavioral observation
and a deep study of emotion. With the subsequent biological revolution in psychiatry …