How to edit a surgical case video.

A video can help highlight the real-time steps, anatomy and the technical aspects of a case that may be difficult to convey with text or static images alone. Editing with a regimented workflow allows for the transmission of only essential information to the viewer while maximizing efficiency by going through the editing process. This video tutorial breaks down the fundamentals of surgical video editing with tips and pointers to simplify the workflow.

Impact of spinal or epidural anaesthesia on perioperative outcomes in adult noncardiac surgery: a narrative review of recent evidence.

Spinal and epidural anaesthesia and analgesia are important anaesthetic techniques, familiar to all anaesthetists and applied to patients undergoing a range of surgical procedures. Although the immediate effects of a well-conducted neuraxial technique on nociceptive and sympathetic pathways are readily observable in clinical practice, the impact of such techniques on patient-centred perioperative outcomes remains an area of uncertainty and active research. The aim of this review is to present a narrative synthesis of contemporary clinical science on this topic from the most recent 5-year period and summarise the foundational scholarship upon which this research was based. We searched electronic databases for primary research, secondary research, opinion pieces, and guidelines reporting the relationship between neuraxial procedures and standardised perioperative outcomes over the period 2018-2023. Returned citation lists were examined seeking additional studies to contextualise our narrative synthesis of results. Articles were retrieved encompassing the following outcome domains: patient comfort, renal, sepsis and infection, postoperative cancer, cardiovascular, and pulmonary and mortality outcomes. Convincing evidence of the beneficial effect of epidural analgesia on patient comfort after major open thoracoabdominal surgery outcomes was identified. Recent evidence of benefit in the prevention of pulmonary complications and mortality was identified. Despite mechanistic plausibility and supportive observational evidence, there is less certain experimental evidence to support a role for neuraxial techniques impacting on other outcome domains. Evidence of positive impact of neuraxial techniques is best established for the domains of patient comfort, pulmonary complications, and mortality, particularly in the setting of major open thoracoabdominal surgery. Recent evidence does not strongly support a significant impact of neuraxial techniques on cancer, renal, infection, or cardiovascular outcomes after noncardiac surgery in most patient groups.

Conformity: the hidden actor in surgical decisions.

Conformity in decision making has a relevant impact in surgical environments. This manuscript reveals how group-based opinions can distort the surgeon's individual judgment, even in critical situations. Two key phenomena are analysed: communication cascades and group polarisation, which amplify conformity and lead to extreme and sometimes harmful decisions. It is important to highlight the importance of evidence-based education, critical thinking, and diversification of information sources to counteract the negative effects of conformity. Self-identifying conformist tendencies, encouraging open debate, and implementing constructive dissent strategies can help mitigate the effects of conformity in decision-making. Reviewing authority models and promoting diversity in surgical settings may improve decision-making and the quality of patient care.

Generative artificial intelligence in surgery.

Generative artificial intelligence is able to collect, extract, digest, and generate information in an understandable way for humans. As the first surgical applications of generative artificial intelligence are applied, this perspective paper aims to provide a comprehensive overview of current applications and future perspectives for the application of generative artificial intelligence in surgery, from preoperative planning to training. Generative artificial intelligence can be used before surgery for planning and decision support by extracting patient information and providing patients with information and simulation regarding the procedure. Intraoperatively, generative artificial intelligence can document data that is normally not captured as intraoperative adverse events or provide information to help decision-making. Postoperatively, GAIs can help with patient discharge and follow-up. The ability to provide real-time feedback and store it for later review is an important capability of GAIs. GAI applications are emerging as highly specialized, task-specific tools for tasks such as data extraction, synthesis, presentation, and communication within the realm of surgery. GAIs have the potential to play a pivotal role in facilitating interaction between surgeons and artificial intelligence.

Telesurgery and telementoring.

Telemedicine has revolutionized the field of surgery, with telemonitoring and telesurgery being 2 of its most promising applications. Telesurgery and telemonitoring are revolutionary applications that have the potential to change the way surgical operations are performed. These applications can allow surgeons to perform operations, enable surgeons to perform operations by assisting or supervising others through mentoring from a different location (telementoring). Despite the potential benefits of telemedicine and telementoring, there are still challenges that must be overcome before they can be widely used in clinical practice. For example, latency in data transmission can be a problem in telemedicine, as even a small delay in data transmission can affect the accuracy of the operation. Additionally, a sophisticated and expensive technological infrastructure is required, which can limit their use in some clinical settings. Although we need to work on its development technologically, ethically and legally, it is a promising tool.

Technologies Used for Telementoring in Open Surgery: A Scoping Review.

Background: Telementoring technologies enable a remote mentor to guide a mentee in real-time during surgical procedures. This addresses challenges, such as lack of expertise and limited surgical training/education opportunities in remote locations. This review aims to provide a comprehensive account of these technologies tailored for open surgery. Methods: A comprehensive scoping review of the scientific literature was conducted using PubMed, ScienceDirect, ACM Digital Library, and IEEE Xplore databases. Broad and inclusive searches were done to identify articles reporting telementoring or teleguidance technologies in open surgery. Results: Screening of the search results yielded 43 articles describing surgical telementoring for open approach. The studies were categorized based on the type of open surgery (surgical specialty, surgical procedure, and stage of clinical trial), the telementoring technology used (information transferred between mentor and mentee, devices used for rendering the information), and assessment of the technology (experience level of mentor and mentee, study design, and assessment criteria). Majority of the telementoring technologies focused on trauma-related surgeries and mixed reality headsets were commonly used for rendering information (telestrations, surgical tools, or hand gestures) to the mentee. These technologies were primarily assessed on high-fidelity synthetic phantoms. Conclusions: Despite longer operative time, these telementoring technologies demonstrated clinical viability during open surgeries through improved performance and confidence of the mentee. In general, usage of immersive devices and annotations appears to be promising, although further clinical trials will be required to thoroughly assess its benefits.

Surgery Duration Prediction Using Multi-Task Feature Selection.

Efficient optimization of operating room (OR) activity poses a significant challenge for hospital managers due to the complex and risky nature of the environment. The traditional "one size fits all" approach to OR scheduling is no longer practical, and personalized medicine is required to meet the diverse needs of patients, care providers, medical procedures, and system constraints within limited resources. This paper aims to introduce a scientific and practical tool for predicting surgery durations and improving OR performance for maximum benefit to patients and the hospital. Previous works used machine-learning models for surgery duration prediction based on preoperative data. The models consider covariates known to the medical staff at the time of scheduling the surgery. Given a large number of covariates, model selection becomes crucial, and the number of covariates used for prediction depends on the available sample size. Our proposed approach utilizes multi-task regression to select a common subset of predicting covariates for all tasks with the same sample size while allowing the model's coefficients to vary between them. A regression task can refer to a single surgeon or operation type or the interaction between them. By considering these diverse factors, our method provides an overall more accurate estimation of the surgery durations, and the selected covariates that enter the model may help to identify the resources required for a specific surgery. We found that when the regression tasks were surgeon-based or based on the pair of operation type and surgeon, our suggested approach outperformed the compared baseline suggested in a previous study. However, our approach failed to reach the baseline for an operation-type-based task. By accurately estimating surgery durations, hospital managers can provide care to a greater number of patients, optimize resource allocation and utilization, and reduce waste. This research contributes to the advancement of personalized medicine and provides a valuable tool for improving operational efficiency in the dynamic world of medicine.

A Single Center's Experience With Spinal Anesthesia for Pediatric Patients Undergoing Surgical Procedures.

PURPOSE: To perform a single institution review of spinal instead of general anesthesia for pediatric patients undergoing surgical procedures. Spinal success rate, intraoperative complications, and postoperative outcomes including unplanned hospital admission and emergency department visits within seven days are reported. METHODS: Retrospective chart review of pediatric patients who underwent spinal anesthesia for surgical procedures from 2016 until 2022. Data collected included patient demographics, procedure and anesthetic characteristics, intraoperative complications, unplanned admissions, and emergency department returns. RESULTS: The study cohort included 1221 patients. Ninety-two percent of the patients tolerated their surgical procedure without requiring conversion to general anesthesia, and 78% of patients that had spinals placed successfully did not receive any sedation following lumbar puncture. The most common intraoperative event was systolic blood pressure below 60 mm Hg (14%), but no cases required administration of vasoactive agents, and no serious intraoperative adverse events were observed. Post-Anesthesia Care Unit Phase I was bypassed in 72% of cases with a median postoperative length of stay of 84 min. Forty-six patients returned to the emergency department following hospital discharge, but no returns were due to anesthetic concerns. CONCLUSIONS: Spinal anesthesia is a viable and versatile option for a diversity of pediatric surgical procedures. We noted a low incidence of intraoperative and postoperative complications. There remain numerous potential advantages of spinal anesthesia over general anesthesia in young pediatric patients particularly in the ambulatory setting. LEVEL OF EVIDENCE: IV. TYPE OF STUDY: Retrospective cohort treatment study.

The State of Artificial Intelligence in Pediatric Surgery: A Systematic Review.

BACKGROUND: Artificial intelligence (AI) has been recently shown to improve clinical workflows and outcomes - yet its potential in pediatric surgery remains largely unexplored. This systematic review details the use of AI in pediatric surgery. METHODS: Nine medical databases were searched from inception until January 2023, identifying articles focused on AI in pediatric surgery. Two authors reviewed full texts of eligible articles. Studies were included if they were original investigations on the development, validation, or clinical application of AI models for pediatric health conditions primarily managed surgically. Studies were excluded if they were not peer-reviewed, were review articles, editorials, commentaries, or case reports, did not focus on pediatric surgical conditions, or did not employ at least one AI model. Extracted data included study characteristics, clinical specialty, AI method and algorithm type, AI model (algorithm) role and performance metrics, key results, interpretability, validation, and risk of bias using PROBAST and QUADAS-2. RESULTS: Authors screened 8178 articles and included 112. Half of the studies (50%) reported predictive models (for adverse events [25%], surgical outcomes [16%] and survival [9%]), followed by diagnostic (29%) and decision support models (21%). Neural networks (44%) and ensemble learners (36%) were the most commonly used AI methods across application domains. The main pediatric surgical subspecialties represented across all models were general surgery (31%) and neurosurgery (25%). Forty-four percent of models were interpretable, and 6% were both interpretable and externally validated. Forty percent of models had a high risk of bias, and concerns over applicability were identified in 7%. CONCLUSIONS: While AI has wide potential clinical applications in pediatric surgery, very few published AI algorithms were externally validated, interpretable, and unbiased. Future research needs to focus on developing AI models which are prospectively validated and ultimately integrated into clinical workflows. LEVEL OF EVIDENCE: 2A.

Postanesthesia Care Unit and Anesthetic Management Outcomes Among Patients Undergoing Noncardiac Surgery: Differences by Race and Ethnicity.

PURPOSE: To investigate the association of patient race and ethnicity with postanesthesia care unit (PACU) outcomes in common, noncardiac surgeries requiring general anesthesia. DESIGN: Single tertiary care academic medical center retrospective matched cohort. METHODS: We matched 1:1 1836 adult patients by race and/or ethnicity undergoing common surgeries. We compared racial and ethnic minority populations (62 American Indian, 250 Asian, 315 Black or African American, 281 Hispanic, and 10 Pacific Islander patients) to 918 non-Hispanic White patients. The primary outcomes were: the use of an appropriate number of postoperative nausea and vomiting (PONV) prophylactics; the incidence of PONV; and the use of a propofol infusion as part of the anesthetic (PROP). Secondary outcomes were: the use of opioid-sparing multimodal analgesia, including the use of regional anesthesia for postoperative pain control; the use of any local anesthetic, including the use of liposomal bupivacaine; the duration until readiness for discharge from the PACU; the time between arrival to PACU and first pain score; and the time between the first PACU pain score of ≥4 and administration of an analgesic. Logistic and linear regression were used for relevant outcomes of interest. FINDINGS: Overall, there were no differences in the appropriate number of PONV prophylactics, nor the incidence of PONV between the two groups. There was, however, a decreased use of PROP (OR = 0.80; 95% CI: 0.69, 0.94; P = .005), PACU length of stay was 9.56 minutes longer (95% CI: 2.62, 16.49; P = .007), and time between arrival to PACU and first pain score was 2.30 minutes longer in patients from racial and ethnic minority populations (95% CI: 0.99, 3.61; P = .001). There were no statistically significant differences in the other secondary outcomes. CONCLUSIONS: The rate of appropriate number of PONV prophylactic medications as well as the incidence of PONV were similar in patients from racial and ethnic minority populations compared to non-Hispanic White patients. However, there was a lower use of PROP in racial and ethnic minority patients. It is important to have a health equity lens to identify differences in management that may contribute to disparities within each phase of perioperative care.

Comparison of effects of telmisartan versus valsartan on post-induction hypotension during noncardiac surgery: a prospective observational study.

BACKGROUND: Telmisartan is considered more potent than valsartan. Hemodynamic response during anesthesia induction may be influenced by anti-hypertension (HTN) medication. The present study compared the effect of anti-HTN medications on post-induction hypotension during noncardiac surgeries. METHODS: This observational study standardized the anesthetic regimen across patients, with hypotension defined as mean blood pressure (BP) of less than 65 mmHg. The hemodynamic changes within 5 min before and after endotracheal intubation, and within 10 min before and after surgical incision were measured. Transthoracic echocardiographic evaluation of the left ventricle (LV) during anesthesia induction was performed. The primary endpoint was the decline in mean BP after anesthetic administration in telmisartan and valsartan groups. Multivariate logistic regression analysis was used to identify predictors of post-induction hypotension. RESULTS: Data from 157 patients undergoing noncardiac surgery were analyzed. No significant differences were found in mean BP decline between the two groups during anesthesia induction. Hemodynamic changes and LV ejection fraction (EF) during anesthesia induction were similar between the groups. Age and preoperative initial mean BP in operation room (OR) were associated with post-induction hypotension in both groups. CONCLUSIONS: The angiotensin receptor blocker (ARB) type did not influence post-induction hypotension during anesthesia induction. Age and preoperative initial mean BP in OR were associated with post-induction hypotension in patients taking ARBs.

Assessment of mathematical model for elliptical excision: solving the doubt about vertex angle and predicting postoperative wound length.

BACKGROUND: Elliptical excision is the most commonly used method for small benign tumour excision and primary closure. However, elliptical excision remains the topic of debate. The aim of this study was to explore the relationship among postoperative incision, vertex angle, and the length and width of fusiform excision through a mathematical model. METHODS: We collected data from fusiform circle excisions performed at the author's hospital (101 cases). The measured values were applied to the mathematical model formula for statistical analysis. RESULTS: The functional relationships among the length, width, arc, and angle of the fusiform circle were obtained. The mean apical tangent angle was 100.731°±15.782°, and the mean apical inner angle was 50.366°±7.891°. There was no significant difference between the preoperatively designed arc length preoperative and the postoperative incision length (P < 0.001). The apical vertex push-out distance equals half of the value of the fusiform length subtracted from arc. CONCLUSIONS: The mathematical model can be used to design the incision for ellipse fusiform excision to predict the final wound length.