Results 81 to 90 of about 134,072 (327)
Hand-drawn Symbol Recognition of Surgical Flowsheet Graphs with Deep Image Segmentation [PDF]
Perioperative data are essential to investigating the causes of adverse surgical outcomes. In some low to middle income countries, these data are computationally inaccessible due to a lack of digitization of surgical flowsheets. In this paper, we present a deep image segmentation approach using a U-Net architecture that can detect hand-drawn symbols on
arxiv
Violence Against Pain Care Providers: The Frightening Future of American Pain Medicine?
Michael E Schatman,1,2 Kelly Kooharian,3 Patricia Guerrero4 1Department of Anesthesiology, Perioperative Care, and Pain Medicine, NYU Grossman School of Medicine, New York, NY, USA; 2Department of Population Health – Division of Medical Ethics, NYU ...
Schatman ME, Kooharian K, Guerrero P
doaj
How to Assess the Impact of Quality and Patient Safety Interventions with Routinely Collected Longitudinal Data [PDF]
Measuring the effect of patient safety improvement efforts is needed to determine their value but is difficult due to the inherent complexities of hospital operations. In this paper, we show by case study how interrupted time series design can be used to isolate and measure the impact of interventions while accounting for confounders often present in ...
arxiv
Melatonin in perioperative medicine: Current perspective
Melatonin, a new addition to the armamentarium of anesthesiologist, has some unique properties that are highly desirable in routine peri-operative care.
Souvik Maitra+2 more
doaj +1 more source
In rectal cancer surgery, this study examined the risk factors for urinary dysfunction and the effect of autonomic nervous system resection extent on urinary dysfunction. Autonomic nervous system resection and lateral lymph node dissection were independent risk factors for urinary dysfunction.
Sodai Arai+9 more
wiley +1 more source
Which part of medicine, if any, can and should be entrusted to AI, now or at some moment in the future? That both medicine and AI will continue to change goes without saying.
arxiv
The calibration plots of the updated risk models for the endpoints were analyzed in each cohort. The predicted probability of each endpoint matched the observed probability in the development and validation cohorts. Abstract Aim Risk prediction models for mortality, severe postoperative complications, and postoperative pancreatic fistula in patients ...
Masamichi Mizuma+8 more
wiley +1 more source
This study aimed to investigate the relationship between the three timepoint perioperative CEA (ttpCEA) calculated at three timepoints and recurrence during the perioperative period in Stage II and III colorectal cancer (CRC) patients. A total of 538 patients were included for the training data and 329 patients for validation data, and 5‐y time‐to ...
Shodai Mizuno+14 more
wiley +1 more source
In 2022, emergency cases with difficulties in transport markedly increased during the COVID‐19 pandemic, but had little effect on short‐term outcomes of colorectal perforation. These data suggest that the emergency system for patients with colorectal perforation was largely maintained during the pandemic in Japan, with no evidence indicating a serious ...
Shimpei Ogawa+12 more
wiley +1 more source
Real-world Deployment and Evaluation of PErioperative AI CHatbot (PEACH) -- a Large Language Model Chatbot for Perioperative Medicine [PDF]
Large Language Models (LLMs) are emerging as powerful tools in healthcare, particularly for complex, domain-specific tasks. This study describes the development and evaluation of the PErioperative AI CHatbot (PEACH), a secure LLM-based system integrated with local perioperative guidelines to support preoperative clinical decision-making.
arxiv