CCS Concepts:• Computing methodologies→ Machine learning approaches; Machine
learning;• Social and professional topics→ Computing/technology policy; Medical …

Artificial intelligence has provided us with an exploration of a whole new research era. As
more data and better computational power become available, the approach is being …

The papers in this special section focus on the emerging challenges for deep learningin the
biomedical industry. Due to the proliferation of biomedical imaging modalities such as …

With the progress of medical technology, biomedical field ushered in the era of big data,
based on which and driven by artificial intelligence technology, computational medicine has …

Smart Health indicates the use of new technologies in the healthcare sector. Literally it
means “intelligent health”, and the intelligence referred to is digital, guaranteed by …

Gaining knowledge and actionable insights from complex, high-dimensional and
heterogeneous biomedical data remains a key challenge in transforming health care …

With a massive influx of multimodality data, the role of data analytics in health informatics
has grown rapidly in the last decade. This has also prompted increasing interests in the …

In the recent century, two concepts “Deep Learning”(DL) and “Blockchain technology” have
received much attention from around the globe. Today's DL [a superset of artificial neural …

The connection between the design and delivery of health care services using information
technology is known as health informatics. It involves data usage, validation, and transfer of …

Deep Learning Techniques for Biomedical and Health Informatics provides readers with the
state-of-the-art in deep learning-based methods for biomedical and health informatics. The …