Medicine is on the verge of a digital revolution as it begins to integrate genomics, machine learning, automation, and wearables into clinical practice, and various disruptive technologies are poised to change anesthetic and surgical care. Large genomic and clinical data are predicting patient outcomes with increasing precision. Novel sensors and wearables can now reliably monitor patients both inside and outside the hospital, and large language models are providing a platform to expand patient access to healthcare resources and physician access to actionable scientific knowledge.
This Special Issue discusses the latest innovations in various fields of science and engineering and their applications to perioperative medicine, pain management, and intensive care. It specifically focuses on how new devices, technologies, and algorithms can be applied to optimize preoperative risk stratification, intraoperative decision-making and monitoring, and short- and long-term postoperative recovery.
This Issue specifically focuses on applications of molecular omics, machine learning, sensors, and nanotechnology. It is also interested in “anesthetics as a new technology” and will evaluate manuscripts discussing the use of anesthetics as a novel diagnostic or therapeutic tool for diseases, like psychiatric or oncologic disease.
Articles in this Special Issue include original research, reviews, novel hypotheses, and commentaries on applications of these emerging technologies in perioperative medicine.
Keywords:
Machine Learning, Artificial intelligence, Biotechnology, Biosensors, Algorithms
Important Note:
All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.
Medicine is on the verge of a digital revolution as it begins to integrate genomics, machine learning, automation, and wearables into clinical practice, and various disruptive technologies are poised to change anesthetic and surgical care. Large genomic and clinical data are predicting patient outcomes with increasing precision. Novel sensors and wearables can now reliably monitor patients both inside and outside the hospital, and large language models are providing a platform to expand patient access to healthcare resources and physician access to actionable scientific knowledge.
This Special Issue discusses the latest innovations in various fields of science and engineering and their applications to perioperative medicine, pain management, and intensive care. It specifically focuses on how new devices, technologies, and algorithms can be applied to optimize preoperative risk stratification, intraoperative decision-making and monitoring, and short- and long-term postoperative recovery.
This Issue specifically focuses on applications of molecular omics, machine learning, sensors, and nanotechnology. It is also interested in “anesthetics as a new technology” and will evaluate manuscripts discussing the use of anesthetics as a novel diagnostic or therapeutic tool for diseases, like psychiatric or oncologic disease.
Articles in this Special Issue include original research, reviews, novel hypotheses, and commentaries on applications of these emerging technologies in perioperative medicine.
Keywords:
Machine Learning, Artificial intelligence, Biotechnology, Biosensors, Algorithms
Important Note:
All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.