. Artificial intelligence (AI) is an era upcoming in medicine and, more recently, in the operating room (OR). Existing literature elaborates mainly on the future possibilities and expectations for AI in surgery. The aim of this study is to systematically provide an overview of the current actual AI applications used to support processes inside the OR. . PubMed, Embase, Cochrane Library, and IEEE Xplore were searched using inclusion criteria for relevant articles up to August 25th, 2020. No study types were excluded beforehand. Articles describing current AI applications for surgical purposes inside the OR were reviewed. . Nine studies were included. An overview of the researched and described applications of AI in the OR is provided, including procedure duration prediction, gesture recognition, intraoperative cancer detection, intraoperative video analysis, workflow recognition, an endoscopic guidance system, knot-tying, and automatic registration and tracking of the bone in orthopedic surgery. These technologies are compared to their, often non-AI, baseline alternatives. . Currently described applications of AI in the OR are limited to date. They may, however, have a promising future in improving surgical precision, reduce manpower, support intraoperative decision-making, and increase surgical safety. Nonetheless, the application and implementation of AI inside the OR still has several challenges to overcome. Clear regulatory, organizational, and clinical conditions are imperative for AI to redeem its promise. Future research on use of AI in the OR should therefore focus on clinical validation of AI applications, the legal and ethical considerations, and on evaluation of implementation trajectory.
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http://dx.doi.org/10.1177/1553350621996961 | DOI Listing |
Acta Paediatr
January 2025
Department of Neonatology, University Children's Hospital of Tuebingen, Tuebingen, Germany.
Aim: Face masks and binasal prongs are commonly used interfaces for applying continuous positive airway pressure (CPAP) in neonatology. We aimed to assess CPAP stability in a randomised controlled in vitro study.
Methods: In a simulated resuscitation scenario of a 1000-g preterm infant with respiratory distress, 20 operators (10 with/without neonatology experience) aimed to maintain a CPAP of 5 cmHO as precisely as possible using face masks or binasal prongs in random order.
Adv Sci (Weinh)
January 2025
Data61, CSIRO, Clayton, VIC, 3168, Australia.
The rapid growth of Internet of Things (IoT) devices necessitates efficient data compression techniques to manage the vast amounts of data they generate. Chemiresistive sensor arrays (CSAs), a simple yet essential component in IoT systems, produce large datasets due to their simultaneous multi-sensor operations. Classical principal component analysis (cPCA), a widely used solution for dimensionality reduction, often struggles to preserve critical information in complex datasets.
View Article and Find Full Text PDFACS Nano
January 2025
Songshan Lake Materials Laboratory (SLAB), Dongguan 523808, P. R. China.
Electrocatalytic CO reduction into high-value multicarbon products offers a sustainable approach to closing the anthropogenic carbon cycle and contributing to carbon neutrality, particularly when renewable electricity is used to power the reaction. However, the lack of efficient and durable electrocatalysts with high selectivity for multicarbons severely hinders the practical application of this promising technology. Herein, a nanoporous defective AuCu single-atom alloy (De-AuCu SAA) catalyst is developed through facile low-temperature thermal reduction in hydrogen and a subsequent dealloying process, which shows high selectivity toward ethylene (CH), with a Faradaic efficiency of 52% at the current density of 252 mA cm under a potential of -1.
View Article and Find Full Text PDFSmall Methods
January 2025
CAS Key Laboratory for Biomedical Effects of Nanomaterials and Nanosafety, CAS Center for Excellence in Nanoscience, National Center for Nanoscience and Technology (NCNST), Beijing, 100190, China.
Pyroptosis, a form of programmed cell death characterized by cell lysis and inflammation, has significant implications for disease treatment. Nanomaterials (NMs), with their unique physicochemical properties, can precisely modulate pyroptosis, offering novel and intelligent therapeutic strategies for cancer, infectious diseases, and chronic inflammatory conditions with targeted activation and reduced systemic toxicity. This review explores the mechanisms by which NMs regulate pyroptosis, comparing molecular and NM inducers, and examines the role of intrinsic properties such as size, shape, surface charge, and chemical composition in these processes.
View Article and Find Full Text PDFAdv Sci (Weinh)
January 2025
State Key Laboratory of Digital Medical Engineering, Jiangsu Key Laboratory for Biomaterials and Devices, School of Biological Science and Medical Engineering, Southeast University, 2 Southeast University Road, Nanjing, 211189, P. R. China.
Gram-positive bacteria pose significant threats to human health, necessitating the development of targeted bacterial detection and eradication strategies. Nevertheless, current approaches often suffer from poor targeting specificity. Herein, the study utilizes purple rice lixivium to synthesize biomass carbon dots (termed BCDs) with wheat germ agglutinin-like residues for precisely targeting Gram-positive bacteria.
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