Kidney disease remains a global health problem. Challenges remain in its diagnosis and treatment. Artificial intelligence (AI) has the potential to aid in diagnosis, prognosis, and treatment decisions. Further AI can assist them in providing optimal personalized therapy for kidney disease patients. AI can enhance clinicians' capacity to efficiently diagnosis and treat their patients in their clinical practice in the future.
The special topic focuses on Artificial Intelligence and its applications in urological disease management is looking for novelty in the methodological and/or theoretical content mainly acknowledged in the area of AI and Computer Science. AI in bio- and clinical medicine, machine learning based decision support, robotic surgery, data analytics and mining, laboratory information systems and AI in medical education.
The research topic deals with the proposal of some strategy and related methods to solve some scientific issues in specific domains usually through an experimental evaluation, how the proposed methodology can be applied to urologic disease prediction, treatment and management. It also focuses to collate the fundamental and formal topics of AI and that show the novel expected effects of the proposed solution in medical or healthcare field. It shall refer to real-world medical domains, considered and discussed at the proper depth, from both the technical and the medical points of view. The inclusion of a clinical assessment of the usefulness and potential impact of the submitted work is strongly recommended.
Potential topics to be covered:
Following the information explosion brought by the diffusion of Internet, social networks, cloud computing, and big-data platforms. Particular attention is given to novel research work pertaining to:
*AI-based clinical decision making;
*Machine learning and Deep learning;
*Medical knowledge engineering;
*Knowledge-based and agent-based systems;
*Computational intelligence in bio- and clinical medicine;
*Intelligent and process-aware information systems in healthcare and medicine;
*Intelligent exploitation of heterogeneous data sources aimed at supporting decision-based and data-intensive clinical tasks;
*Intelligent devices and instruments in urology;
*Automated reasoning and meta-reasoning in medicine;
*Machine learning in medicine, medically-oriented human biology, and healthcare;
*AI and data science in medicine, medically-oriented human biology, and healthcare;
*Acute kidney injury (AKI);
*Chronic kidney disease (CKD);
*End-stage renal disease (ESRD);
*Role of AI and blockchain in Kidney Transplantation;
*AI-based modelling and management of healthcare pathways and clinical guidelines;
*Models and systems for AI-based population health;
*AI in medical and healthcare education;
*Methodological, philosophical, ethical, and social issues of AI in healthcare.
Kidney disease remains a global health problem. Challenges remain in its diagnosis and treatment. Artificial intelligence (AI) has the potential to aid in diagnosis, prognosis, and treatment decisions. Further AI can assist them in providing optimal personalized therapy for kidney disease patients. AI can enhance clinicians' capacity to efficiently diagnosis and treat their patients in their clinical practice in the future.
The special topic focuses on Artificial Intelligence and its applications in urological disease management is looking for novelty in the methodological and/or theoretical content mainly acknowledged in the area of AI and Computer Science. AI in bio- and clinical medicine, machine learning based decision support, robotic surgery, data analytics and mining, laboratory information systems and AI in medical education.
The research topic deals with the proposal of some strategy and related methods to solve some scientific issues in specific domains usually through an experimental evaluation, how the proposed methodology can be applied to urologic disease prediction, treatment and management. It also focuses to collate the fundamental and formal topics of AI and that show the novel expected effects of the proposed solution in medical or healthcare field. It shall refer to real-world medical domains, considered and discussed at the proper depth, from both the technical and the medical points of view. The inclusion of a clinical assessment of the usefulness and potential impact of the submitted work is strongly recommended.
Potential topics to be covered:
Following the information explosion brought by the diffusion of Internet, social networks, cloud computing, and big-data platforms. Particular attention is given to novel research work pertaining to:
*AI-based clinical decision making;
*Machine learning and Deep learning;
*Medical knowledge engineering;
*Knowledge-based and agent-based systems;
*Computational intelligence in bio- and clinical medicine;
*Intelligent and process-aware information systems in healthcare and medicine;
*Intelligent exploitation of heterogeneous data sources aimed at supporting decision-based and data-intensive clinical tasks;
*Intelligent devices and instruments in urology;
*Automated reasoning and meta-reasoning in medicine;
*Machine learning in medicine, medically-oriented human biology, and healthcare;
*AI and data science in medicine, medically-oriented human biology, and healthcare;
*Acute kidney injury (AKI);
*Chronic kidney disease (CKD);
*End-stage renal disease (ESRD);
*Role of AI and blockchain in Kidney Transplantation;
*AI-based modelling and management of healthcare pathways and clinical guidelines;
*Models and systems for AI-based population health;
*AI in medical and healthcare education;
*Methodological, philosophical, ethical, and social issues of AI in healthcare.
