Abstract
Health technology research brings together complementary interdisciplinary research skills in the development of innovative health technology applications. Recent research indicates that artificial intelligence can help achieve outstanding performance for particular types of health technology applications. An evolutionary algorithm is one of the subfields of artificial intelligence, and is an effective algorithm for global optimization inspired by biological evolution. With the rapidly growing complexity of design issues, methodologies and a higher demand for quality health technology applications, the development of evolutionary computation algorithms for health has become timely and of high relevance. This Special Issue intends to bring together researchers to report the recent findings in evolutionary algorithms in health technology.
Highlights
Nowadays, artificial intelligence (AI) plays an important role in medical research, which brings together complementary interdisciplinary research practice, in the development of innovative computer-aided diagnosis systems, medical imaging, home healthcare services, etc
In the last five years, the successful development of many advanced AI technologies in the health market has significantly improved the quality of healthcare
With the rapidly growing complexities of design issues, methodologies and a higher demand for quality health applications, the development of AI becomes timely and highly relevant. This Special Issue intends to bring together researchers to report the recent findings in AI especially evolutionary computation and deep learning in health technologies
Summary
Artificial intelligence (AI) plays an important role in medical research, which brings together complementary interdisciplinary research practice, in the development of innovative computer-aided diagnosis systems, medical imaging, home healthcare services, etc. This Special Issue intends to bring together researchers to report the recent findings in AI especially evolutionary computation and deep learning in health technologies. All of them are high quality and reviewed by at least two experts in the field of AI and health applications.
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