Artificial Intelligence Applications in Diagnosing and Managing Non-syndromic Craniosynostosis: A Comprehensive Review.

Craniosynostosis is characterised by the premature fusion of one or more cranial sutures, resulting in an abnormal head shape. The management of craniosynostosis requires early diagnosis, surgical intervention, and long-term monitoring. With the advancements in artificial intelligence (AI) technologies, there is great potential for AI to assist in various aspects of managing craniosynostosis. The main aim of this article is to review available literature describing the current uses of AI in craniosynostosis. The main applications highlighted include diagnosis, surgical planning, and outcome prediction. Many studies have demonstrated the accuracy of AI in differentiating subtypes of craniosynostosis using machine learning (ML) algorithms to classify craniosynostosis based on simple photographs. This demonstrates its potential to be used as a screening tool and may allow patients to monitor disease progression reducing the need for CT scanning. ML algorithms can also analyse CT scans to aid in the accurate and efficient diagnosis of craniosynostosis, particularly when training junior surgeons. However, the lack of sufficient data currently limits this clinical application. Virtual surgical planning for cranial vault remodelling using prefabricated cutting guides has been shown to allow more precise reconstruction by minimising the subjectivity of the clinicians' assessment. This was particularly beneficial in reducing operating length and preventing the need for blood transfusions. Despite the potential benefits, there are numerous challenges associated with implementing AI in craniosynostosis. The integration of AI in craniosynostosis holds significant promise for improving the management of craniosynostosis. Further collaboration between clinicians, researchers, and AI experts is necessary to harness its full potential.

Motivators and deterrents for early career female doctors applying to surgical training programmes in the UK National Health Service: a mixed-methods study.

OBJECTIVES: To perform a mixed-methods study identifying motivators and deterrents to female doctors interested in core surgical training (CST). To provide tangible implementations based on the findings. DESIGN: This study used quantitative (questionnaires) and qualitative (semistructured interviews (SSIs)) analyses. Participants completed online questionnaires on Qualtrics and SSIs were conducted remotely on Microsoft Teams. Questions were derived from previous studies and a novel term, the gender impact rating (GIR), was coined to assess the impact of gender on opportunities available during CST application. SETTING: Participants were working in the UK National Health Service and data collected from December 2020 to January 2021. PARTICIPANTS: A total of 100 female surgical trainees in the UK ranging from Foundation Year 2 to Core Training Year 2. MAIN OUTCOME MEASURES: Participants ranked factors by their influence on their CST application. Of the 100 trainees, 21 were randomly selected for an SSI to explore their questionnaire responses. Statistical analyses were performed using MATLAB and SPSS, alongside a thematic analysis of the interviews. RESULTS: A total of 44 out of 100 questionnaire respondents ranked early exposure to surgery as the most influential motivator, while 43% selected work-life balance as the greatest deterrent and 33% suggested mentoring schemes to encourage women to apply to CST. The median GIR was 3 out of 5, indicating a moderate perceived impact of gender on opportunities available during CST application. Qualitative analysis found four overarching themes: institutional factors (including mentorship schemes), organisational culture (including active engagement), social factors and personal factors. CONCLUSION: Thematic analysis suggested that seniors involving women in theatre and a supportive work environment would encourage entry of more female surgeons. Therefore, the proposed implementations are the active engagement of women in theatre and destigmatising less than full-time training. Further research into ethnicity and personality on motivations to enter surgery is advised.

Evolving Diagnostic and Therapeutic Options for Visceral Artery Aneurysms.

BACKGROUND: Visceral artery aneurysms (VAAs) are associated with a very high mortality rate when ruptured and may present as a surgical emergency. Due to their rarity and varying pathophysiology, literature concerning the optimal management of VAAs is limited. This review evaluates the evolving management options for VAAs with a focus on open and endovascular repair. METHODS: A combination of databases including OVID, PubMed and Medline were used to perform a literature search. Search terms employed include 'visceral artery aneurysms', 'angiography', '3D-volumetric rendering', 'management', 'open repair' and 'endovascular repair', amongst others. RESULTS: 3D modelling in conjunction with existing diagnostic techniques, such as computed tomography and angiography, may improve diagnostic sensitivity. The literature surrounding operative management of VAAs highlights the effectiveness of endovascular repair for anatomically suitable aneurysms. Advances in endovascular technologies may expand the type and number of aneurysms amenable to catheter-based treatment approaches. For aneurysms not amenable to endovascular treatment, or those with an emergency indication, open repair remains an appropriate management choice. CONCLUSION: Although rare, VAAs pose a high mortality risk, especially when ruptured. Practical limitations that restrict current operative approaches may be overcome by recent developments including novel neurointerventional techniques that have been applied in VAA management.

Conventional versus miniaturized cardiopulmonary bypass: A systematic review and meta-analysis.

Objective: A meta-analysis of randomized controlled trials was performed to compare the effects of miniaturized extracorporeal circulation (MECC) and conventional extracorporeal circulation (CECC) on morbidity and mortality rates after cardiac surgery. Methods: A comprehensive literature search was conducted using Ovid, PubMed, Medline, EMBASE, and the Cochrane databases. Randomized controlled trials from the year 2000 with n > 40 patients were considered. Key search terms included variations of "mini," "cardiopulmonary," "bypass," "extracorporeal," "perfusion," and "circuit." Studies were assessed for bias using the Cochrane Risk of Bias tool. The primary outcomes were postoperative mortality and stroke. Secondary outcomes included arrhythmia, myocardial infarction, renal failure, blood loss, and a composite outcome comprised of mortality, stroke, myocardial infarction and renal failure. Duration of intensive care unit, and hospital stay was also recorded. Results: The 42 studies eligible for this study included a total of 2154 patients who underwent CECC and 2196 patients who underwent MECC. There were no significant differences in any preoperative or demographic characteristics. Compared with CECC, MECC did not reduce the incidence of mortality, stroke, myocardial infarction, and renal failure but did significantly decrease the composite of these outcomes (odds ratio, 0.64; 95% confidence interval [CI], 0.50-0.81; P = .0002). MECC was also associated with reductions in arrhythmia (odds ratio, 0.67; 95% CI, 0.54-0.83; P = .0003), blood loss (mean difference [MD], -96.37 mL; 95% CI, -152.70 to -40.05 mL; P = .0008), hospital stay (MD, -0.70 days; 95% CI, -1.21 to -0.20 days; P = .006), and intensive care unit stay (MD, -2.27 hours; 95% CI, -3.03 to -1.50 hours; P < .001). Conclusions: MECC demonstrates clinical benefits compared with CECC. Further studies are required to perform a cost-utility analysis and to assess the long-term outcomes of MECC. These should use standardized definitions of endpoints such as mortality and renal failure to reduce inconsistency in outcome reporting.

Protective Effects of CVD and DM Medications in SARS-CoV-2 Infection.

Despite the burden of disease of CVD and DM, there is a lack of experimentally validated literature exploring their association with exacerbation of COVID-19. Target receptors of medications commonly used to treat CVD and DM may be involved in the viral entry mechanism of SARS-CoV-2. We propose the potential protective effects of these medications in COVID-19 infections, highlighting the need for further research. Firstly, AMPK mediated phosphorylation of ACE-2 by metformin as well as the drug's alkaline properties may interrupt the natural disease progression. Secondly, DPP4 receptor involvement in the putative viral entry of SARS-CoV-2 may be prevented by DPP4i. Finally, recent studies have shown that statins' ability to inhibit the cytokine storm may outweigh concerns of statin mediated ACE-2 upregulation in COVID-19. The complex interplay of factors affecting CVD and DM in COVID-19 patients makes the direct effects of medications difficult to examine. Therefore, further research is needed, in the context of SARS-CoV-2 and the molecular pathways it exploits, to potentially repurpose such pre-existing drugs for their use in COVID-19.