Abstract
Committee News| October 2020 Anesthesia and Technology Lovekesh Arora, MBBS, MD; Lovekesh Arora, MBBS, MD Search for other works by this author on: This Site PubMed Google Scholar Piyush Mathur, MD, FCCM; Piyush Mathur, MD, FCCM Search for other works by this author on: This Site PubMed Google Scholar Surangama Sharma, MD Surangama Sharma, MD Search for other works by this author on: This Site PubMed Google Scholar ASA Monitor October 2020, Vol. 84, 37–38. https://doi.org/10.1097/01.ASM.0000718856.85179.80 Views Icon Views Article contents Figures & tables Video Audio Supplementary Data Peer Review Share Icon Share Facebook Twitter LinkedIn MailTo Cite Icon Cite Get Permissions Search Site Citation Lovekesh Arora, Piyush Mathur, Surangama Sharma; Anesthesia and Technology. ASA Monitor 2020; 84:37–38 doi: https://doi.org/10.1097/01.ASM.0000718856.85179.80 Download citation file: Ris (Zotero) Reference Manager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex toolbar search Search Dropdown Menu toolbar search search input Search input auto suggest filter your search All ContentAll PublicationsASA Monitor Search Advanced Search Technological innovation, education, and commercialization are interdependent and contribute to medical progress only when applied as a whole. Anesthesiology is a highly technology-dependent medical specialty. It has led to safer, more effective anesthesia through the development of products such as pulse oximeters, portable ultrasound, anti-infective catheters, capnography, and computerized anesthesia machines. Simultaneously, one has to keep the economic value of anesthesia in consideration, which can be defined as the benefit of anesthesiology services minus the total cost. Recently, there has been a great push in technological advances in clinical monitoring and adoption of artificial intelligence (AI) applications for perioperative management. Anesthesiologists are recognized leaders in patient safety, leveraging technology and working with real time data while caring for sick patients in a complex environment. Application of AI is perfectly suited for such environments to aid clinicians in their decision-making (Br J Anaesth 2019;123:401-3). AI is a broad and... You do not currently have access to this content.
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