Experimental and computational processes are the basic studies in visceral surgery. The content includes the definition of disease, etiology, pathogenesis, epidemiology, natural history, symptoms, signs, experimental diagnosis, imaging examination, differential diagnosis, diagnosis, treatment and prognosis. Experimental studies are based on clinical evidence and observations with humans (patients or healthy volunteers) to confirm or reveal the effects, adverse reactions, and/or absorption, distribution, metabolism, and excretion of test drugs. The objective was to determine the efficacy and safety of the test article. A computational surgery is based on data and computational methods. Through calculation model and super-calculation technology, the correlation between data can be better reflected. Massive data with high-throughput high-dimensional features can be studied to understand life mechanisms and disease mechanisms in a more realistic manner through computational modeling of complex systems. The works improve disease prediction, clinical diagnosis and treatment, and health maintenance, making personalized decision possible. It is possible to revolutionize the entire medical field, from individual patient care to policy making. Experimental and computational processes are important research areas in surgery.
Current disease treatment is based on clinical surgery. With the development of computer science, many smart devices have been directly involved in surgical operation. Experimental processes in surgery are not as the same as reported in traditional works. Computational processes should be addressed for the assistance in modern medical behaviors. Although the doctors have sufficient knowledge in experimental surgery, it is suggested to pay more attention in the interaction and balance between experiments and computer science. There are growing needs of co-use of AI techniques for preoperative, intraoperative and postoperative treatment. Therefore, this topic issue would attract surgical studies with specificities in integrated experimental-computational processes for advanced healthcare techniques, understanding and balancing the interaction between clinical evidences and computational assistance in surgery. The outcome of the topic issue may contribute to the improvement of surgical protocols from a mathematical perspective.
The aim of the current Research Topic is to cover promising, recent, and novel research trends in integrated experimental-computational processes in surgery. Areas to be covered in this Research Topic may include, but are not limited to:
Model-informed surgery
Experimental-computational processes for preoperative, intraoperative and postoperative treatment
Advanced healthcare techniques
Pharmacokinetics in surgery
Experimental-computational surgery from perspective of pharmacists and nurses
Improved surgical protocols with AI assistance
Sterilization, anti-inflammation and hemostasis processes
Sedative and anti-allergic and secretion-inhibiting processes
Experimental-computational processes for disease treatment
Clinical practice and expert opinions
Experimental and computational processes are the basic studies in visceral surgery. The content includes the definition of disease, etiology, pathogenesis, epidemiology, natural history, symptoms, signs, experimental diagnosis, imaging examination, differential diagnosis, diagnosis, treatment and prognosis. Experimental studies are based on clinical evidence and observations with humans (patients or healthy volunteers) to confirm or reveal the effects, adverse reactions, and/or absorption, distribution, metabolism, and excretion of test drugs. The objective was to determine the efficacy and safety of the test article. A computational surgery is based on data and computational methods. Through calculation model and super-calculation technology, the correlation between data can be better reflected. Massive data with high-throughput high-dimensional features can be studied to understand life mechanisms and disease mechanisms in a more realistic manner through computational modeling of complex systems. The works improve disease prediction, clinical diagnosis and treatment, and health maintenance, making personalized decision possible. It is possible to revolutionize the entire medical field, from individual patient care to policy making. Experimental and computational processes are important research areas in surgery.
Current disease treatment is based on clinical surgery. With the development of computer science, many smart devices have been directly involved in surgical operation. Experimental processes in surgery are not as the same as reported in traditional works. Computational processes should be addressed for the assistance in modern medical behaviors. Although the doctors have sufficient knowledge in experimental surgery, it is suggested to pay more attention in the interaction and balance between experiments and computer science. There are growing needs of co-use of AI techniques for preoperative, intraoperative and postoperative treatment. Therefore, this topic issue would attract surgical studies with specificities in integrated experimental-computational processes for advanced healthcare techniques, understanding and balancing the interaction between clinical evidences and computational assistance in surgery. The outcome of the topic issue may contribute to the improvement of surgical protocols from a mathematical perspective.
The aim of the current Research Topic is to cover promising, recent, and novel research trends in integrated experimental-computational processes in surgery. Areas to be covered in this Research Topic may include, but are not limited to:
Model-informed surgery
Experimental-computational processes for preoperative, intraoperative and postoperative treatment
Advanced healthcare techniques
Pharmacokinetics in surgery
Experimental-computational surgery from perspective of pharmacists and nurses
Improved surgical protocols with AI assistance
Sterilization, anti-inflammation and hemostasis processes
Sedative and anti-allergic and secretion-inhibiting processes
Experimental-computational processes for disease treatment
Clinical practice and expert opinions
