End-expiratory carbon dioxide concentrations can be used to assist endotracheal intubation.The novel multimodal endotracheal intubation guidance device combined visualization with an end-expiratory carbon dioxide conc...End-expiratory carbon dioxide concentrations can be used to assist endotracheal intubation.The novel multimodal endotracheal intubation guidance device combined visualization with an end-expiratory carbon dioxide concentration vectorization algorithm to achieve more accurate placement in difficult airways.The feasibility of a novel multimodal guidance device for the endotracheal intubation of difficult airways was verified in spontaneously breathing Bama miniature pigs.The glottic exposure time,insertion time,and total intubation time were not significantly different between the fiberoptic bronchoscope group and the multimodal guidance device group in regard to the endotracheal intubation of difficult airways.There were also no significant differences in intubation attempts,first success rate,and total success rate.Animals in both groups experienced hypoxemia,hypotension,and esophageal intubation during endotracheal intubation,but there were also no significant differences in the incidence of adverse events between the two devices.The effect on changes in hemodynamics,heart rate,and oxygen saturation during intubation showed no significant difference between the two devices.The results of the present study demonstrated the feasibility and effectiveness of the initial prototype of a multimodal guidance device for the endotracheal intubation of difficult airways in pigs,which is expected to further assist in adequately positioning the airway during difficult endotracheal intubations with spontaneous breathing.展开更多
Artificial intelligence(AI)has long been an attractive topic in medicine,especially in light of the rapid developments in digital and information technologies.AI has already provided some breakthroughs in medicine.Wit...Artificial intelligence(AI)has long been an attractive topic in medicine,especially in light of the rapid developments in digital and information technologies.AI has already provided some breakthroughs in medicine.With the assistance of AI,more precise models have been used for clinical predictions,diagnoses,and decision-making.This review defines the basic concepts of AI and machine learning(ML),and provides a simple introduction to certain frequently used algorithms in AI and ML.In addition,the review discusses the current common applications of AI and ML in the prediction of anesthesia conditions,including those for preoperative predictions of difficult airways,intraoperative predictions of adverse events and anesthetic effects,and postoperative predictions of vomiting and pain.The use of AI in anesthesiology remains in development,even without extensive promotion and clinical application;moreover,it has immense potential to maintain further development in the future.Finally,the limitations and challenges of AI development for anesthesia are also discussed,along with considerations regarding ethics and safety.展开更多
Medicine-engineering crossover refers to the cross-fertilization of multiple disciplines to meet clinical needs through various means,including engineering,which greatly promotes medical development.In the development...Medicine-engineering crossover refers to the cross-fertilization of multiple disciplines to meet clinical needs through various means,including engineering,which greatly promotes medical development.In the development of anesthesiology,improvements in anesthesia equipment and continuous innovation of anesthesia technology are all closely related to the integration of medicine and engineering.In recent years,the exploration and development of automated anesthesia equipment has led to closer integration of medicine,engineering,and other disciplines,including the development of robots in anesthesia,automated monitoring and alarm technology,automated perioperative management,and remote anesthesia.Herein,the current status of applications and development of medicine-engineering crossover in the field of automated anesthesia are discussed.展开更多
基金the Interdisciplinary Program of Shanghai Jiao Tong University(No.ZH2018ZDA14)and the Clinical Research Plan of the Shenkang Hospital Development Center(No.SHDC2020CR3043B)。
文摘End-expiratory carbon dioxide concentrations can be used to assist endotracheal intubation.The novel multimodal endotracheal intubation guidance device combined visualization with an end-expiratory carbon dioxide concentration vectorization algorithm to achieve more accurate placement in difficult airways.The feasibility of a novel multimodal guidance device for the endotracheal intubation of difficult airways was verified in spontaneously breathing Bama miniature pigs.The glottic exposure time,insertion time,and total intubation time were not significantly different between the fiberoptic bronchoscope group and the multimodal guidance device group in regard to the endotracheal intubation of difficult airways.There were also no significant differences in intubation attempts,first success rate,and total success rate.Animals in both groups experienced hypoxemia,hypotension,and esophageal intubation during endotracheal intubation,but there were also no significant differences in the incidence of adverse events between the two devices.The effect on changes in hemodynamics,heart rate,and oxygen saturation during intubation showed no significant difference between the two devices.The results of the present study demonstrated the feasibility and effectiveness of the initial prototype of a multimodal guidance device for the endotracheal intubation of difficult airways in pigs,which is expected to further assist in adequately positioning the airway during difficult endotracheal intubations with spontaneous breathing.
基金the Interdisciplinary Program of Shanghai Jiao Tong University(No.ZH2018ZDA14)the Clinical Research Plan of the Shenkang Hospital Development Center(No.SHDC2020CR3043B)。
文摘Artificial intelligence(AI)has long been an attractive topic in medicine,especially in light of the rapid developments in digital and information technologies.AI has already provided some breakthroughs in medicine.With the assistance of AI,more precise models have been used for clinical predictions,diagnoses,and decision-making.This review defines the basic concepts of AI and machine learning(ML),and provides a simple introduction to certain frequently used algorithms in AI and ML.In addition,the review discusses the current common applications of AI and ML in the prediction of anesthesia conditions,including those for preoperative predictions of difficult airways,intraoperative predictions of adverse events and anesthetic effects,and postoperative predictions of vomiting and pain.The use of AI in anesthesiology remains in development,even without extensive promotion and clinical application;moreover,it has immense potential to maintain further development in the future.Finally,the limitations and challenges of AI development for anesthesia are also discussed,along with considerations regarding ethics and safety.
基金the Interdisciplinary Program of Shanghai Jiao Tong University(No.ZH2018ZDA14)the Clinical Research Plan of the Shenkang Hospital Development Center(No.SHDC2020CR3043B)。
文摘Medicine-engineering crossover refers to the cross-fertilization of multiple disciplines to meet clinical needs through various means,including engineering,which greatly promotes medical development.In the development of anesthesiology,improvements in anesthesia equipment and continuous innovation of anesthesia technology are all closely related to the integration of medicine and engineering.In recent years,the exploration and development of automated anesthesia equipment has led to closer integration of medicine,engineering,and other disciplines,including the development of robots in anesthesia,automated monitoring and alarm technology,automated perioperative management,and remote anesthesia.Herein,the current status of applications and development of medicine-engineering crossover in the field of automated anesthesia are discussed.
