Emerging developments and innovations of digital healthcare technologies, also known as digital transformation, have the potential to drastically enhance current healthcare operations. Amongst the advanced technologies, Artificial Intelligence, particularly Computational Intelligence has been proven successful as one of the technology trends that contribute to the digital transformation of the healthcare and medical industry.
Computational Intelligence is a sub-branch of Artificial Intelligence that encapsulates the design, development and application of the computational models such as Neural Networks and Fuzzy Systems, which are adaptive to the complex and changing real world environments. With the advancements of digitalization of computer science and informatics, Computational Intelligence has been effectively used in modern healthcare given their ability to acquire, analyze and utilize vast amounts of various medical data and clinical information. With the available training data, computational algorithms will revitalize healthcare to be more accurate and precise, and allow us to gain exceptional insights from different healthcare perspectives, such as treatment variability and patient diagnostics.
The usage of Computational Intelligence in the medical industry reduces the need for manual procedures which are not only tedious and time consuming, but also prone to human errors. Recent advances of machine learning techniques and also the computational hardware technologies allow the development of algorithms that will significantly increase the productivity, efficacy and precision of the current clinical workflow.
Computational Intelligence is currently being used by researchers to support medical professionals in clinical settings, from diagnosis and analysis to treatment and recovery. One of the most common and promising applications of Computational Intelligence in medicine are medical imaging analysis and clinical decision support. Indeed, there are many applications of Computational Intelligence in the healthcare field, ranging from digitization of medical records from collecting, processing and reporting, computer aided diagnosis and analysis, patient management including follow up appointments and scheduling, management of healthcare center resources such as blood banks, to drug and vaccine production. Due to this wide range of applications, Computational Intelligence is expected to have a significant impact not only on the lives of the medical professionals, but for the patients as well.
This Research Topic focuses on the state-of-art innovations, methodological and algorithmic solutions, research and developments concerning the emerging computational intelligence technologies from a wide variety of interdisciplinary perspectives of the healthcare domain. The purpose of this issue is to provide an overview of recent advances and breakthroughs in computational intelligence techniques in medicine including health informatics, disease diagnosis and prevention, patient monitoring and management.
Computational intelligence in medicine papers must have strong novelty of method and theory in techniques which are discussed from both technical and medical standpoint. The potential topics that are relevant to the special issue but are not limited to :
? Computational intelligence in medical image analysis, localization, segmentation and registration;
? Computational intelligence in personalized disease treatment;
? Computational intelligence in drug development with big data;
? Computational intelligence in clinical decision support;
? Computational intelligence in electronic health record and medical data management;
? Computational intelligence in patient management including medical treatment;
? Computational intelligence in bio- and clinical medicine;
? Computational intelligence in population healthcare analytics;
? Computational intelligence in disease detection and diagnosis;
? Computational intelligence in digital health monitoring and consultation;
? Computational intelligence in clinical trials efficiency.
Submitted papers should present original, unpublished work, relevant to one of the topics of the special issue. All submitted papers will be evaluated on the basis of relevance, significance of contribution, technical quality, scholarship, and quality of presentation.
Emerging developments and innovations of digital healthcare technologies, also known as digital transformation, have the potential to drastically enhance current healthcare operations. Amongst the advanced technologies, Artificial Intelligence, particularly Computational Intelligence has been proven successful as one of the technology trends that contribute to the digital transformation of the healthcare and medical industry.
Computational Intelligence is a sub-branch of Artificial Intelligence that encapsulates the design, development and application of the computational models such as Neural Networks and Fuzzy Systems, which are adaptive to the complex and changing real world environments. With the advancements of digitalization of computer science and informatics, Computational Intelligence has been effectively used in modern healthcare given their ability to acquire, analyze and utilize vast amounts of various medical data and clinical information. With the available training data, computational algorithms will revitalize healthcare to be more accurate and precise, and allow us to gain exceptional insights from different healthcare perspectives, such as treatment variability and patient diagnostics.
The usage of Computational Intelligence in the medical industry reduces the need for manual procedures which are not only tedious and time consuming, but also prone to human errors. Recent advances of machine learning techniques and also the computational hardware technologies allow the development of algorithms that will significantly increase the productivity, efficacy and precision of the current clinical workflow.
Computational Intelligence is currently being used by researchers to support medical professionals in clinical settings, from diagnosis and analysis to treatment and recovery. One of the most common and promising applications of Computational Intelligence in medicine are medical imaging analysis and clinical decision support. Indeed, there are many applications of Computational Intelligence in the healthcare field, ranging from digitization of medical records from collecting, processing and reporting, computer aided diagnosis and analysis, patient management including follow up appointments and scheduling, management of healthcare center resources such as blood banks, to drug and vaccine production. Due to this wide range of applications, Computational Intelligence is expected to have a significant impact not only on the lives of the medical professionals, but for the patients as well.
This Research Topic focuses on the state-of-art innovations, methodological and algorithmic solutions, research and developments concerning the emerging computational intelligence technologies from a wide variety of interdisciplinary perspectives of the healthcare domain. The purpose of this issue is to provide an overview of recent advances and breakthroughs in computational intelligence techniques in medicine including health informatics, disease diagnosis and prevention, patient monitoring and management.
Computational intelligence in medicine papers must have strong novelty of method and theory in techniques which are discussed from both technical and medical standpoint. The potential topics that are relevant to the special issue but are not limited to :
? Computational intelligence in medical image analysis, localization, segmentation and registration;
? Computational intelligence in personalized disease treatment;
? Computational intelligence in drug development with big data;
? Computational intelligence in clinical decision support;
? Computational intelligence in electronic health record and medical data management;
? Computational intelligence in patient management including medical treatment;
? Computational intelligence in bio- and clinical medicine;
? Computational intelligence in population healthcare analytics;
? Computational intelligence in disease detection and diagnosis;
? Computational intelligence in digital health monitoring and consultation;
? Computational intelligence in clinical trials efficiency.
Submitted papers should present original, unpublished work, relevant to one of the topics of the special issue. All submitted papers will be evaluated on the basis of relevance, significance of contribution, technical quality, scholarship, and quality of presentation.
