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Objectives: Visual inspection with acetic acid (VIA) is a low‐cost approach for cervical cancer screening used in most low‐ and middle‐income countries (LMICs) but, similar to other visual tests, is subjective and requires sustained training and quality assurance. We developed, trained, and validated an artificial‐intelligence‐based "Automated Visual Evaluation" (AVE) tool that can be adapted to run on smartphones to assess smartphone‐captured images of the cervix and identify precancerous lesions, helping augment VIA performance. Design: Prospective study. Setting: Eight public health facilities in Zambia. Participants: A total of 8204 women aged 25–55. Interventions: Cervical images captured on commonly used low‐cost smartphone models were matched with key clinical information including human immunodeficiency virus (HIV) and human papillomavirus (HPV) status, plus histopathology analysis (where applicable), to develop and train an AVE algorithm and evaluate its performance for use as a primary screen and triage test for women who are HPV positive. Main Outcome Measures: Area under the receiver operating curve (AUC); sensitivity; specificity. Results: As a general population screening tool for cervical precancerous lesions, AVE identified cases of cervical precancerous and cancerous (CIN2+) lesions with high performance (AUC = 0.91, 95% confidence interval [CI] = 0.89–0.93), which translates to a sensitivity of 85% (95% CI = 81%–90%) and specificity of 86% (95% CI = 84%–88%) based on maximizing the Youden's index. This represents a considerable improvement over naked eye VIA, which as per a meta‐analysis by the World Health Organization (WHO) has a sensitivity of 66% and specificity of 87%. For women living with HIV, the AUC of AVE was 0.91 (95% CI = 0.88–0.93), and among those testing positive for high‐risk HPV types, the AUC was 0.87 (95% CI = 0.83–0.91). Conclusions: These results demonstrate the feasibility of utilizing AVE on images captured using a commonly available smartphone by nurses in a screening program, and support our ongoing efforts for moving to more broadly evaluate AVE for its clinical sensitivity, specificity, feasibility, and acceptability across a wider range of settings. Limitations of this study include potential inflation of performance estimates due to verification bias (as biopsies were only obtained from participants with visible aceto‐white cervical lesions) and due to this being an internal validation (the test data, while independent from that used to develop the algorithm was drawn from the same study). [ABSTRACT FROM AUTHOR]

Cervical cancer can be prevented, primarily by the administration of the human papillomavirus (HPV) vaccine. Healthcare workers (HCWs) and teachers play important roles when schools are used for vaccine delivery; however, challenges exist. This study aimed to understand the barriers and facilitators to HPV vaccination that are perceived by HCWs and teachers. Guided by the consolidated framework for implementation research (CFIR), key informant interviews were conducted in Lusaka district between June 2021 and November 2021 using a semi-structured questionnaire. Recorded interviews were transcribed verbatim and imported into NVIVO 12 for data management and analysis. We coded transcripts inductively and deductively based on the adapted CFIR codebook. We reached saturation with 23 participants. We identified barriers and facilitators across the five CFIR domains. Facilitators included offering the HPV vaccine free of charge, HPV vaccine effectiveness, stakeholder engagement, and timely planning of the HPV vaccination. Barriers included vaccine mistrust due to its perceived novelty, low levels of parental knowledge, myths and misinformation about the vaccine, lack of parental consent to vaccinate daughters, lack of transport for vaccination outreach, lack of staff incentives, and inadequate sensitisation. Using the CFIR as a guiding framework, we have identified implementation barriers and facilitators to HPV vaccination among HCWs and teachers. Most of the identified barriers are modifiable, hence it is prudent that these are addressed for a high HPV vaccine uptake. [ABSTRACT FROM AUTHOR]

Introduction: Human error is one of the leading causes of medical error. It is estimated that human error leads to between 250,000 and 440,000 deaths each year. Medical simulation has been shown to improve the skills and confidence of clinicians and reduce medical errors. Surgical simulation is critical for training surgeons in complicated procedures and can be particularly effective in skill retention. Methods: The interactive Medical Simulation Toolkit (iMSTK) is an open source platform with position-based dynamics, continuous collision detection, smooth particle hydrodynamics, integrated haptics, and compatibility with Unity and Unreal, among others. iMSTK provides a wide range of real-time simulation capabilities with a flexible open-source license (Apache 2.0) that encourages adoption across the research and commercial simulation communities. iMSTK uses extended position-based dynamics and an established collision and constraint implementations to model biological tissues and their interactions with medical tools and other tissues. Results: The platform demonstrates performance, that is, compatible with realtime simulation that incorporates both visualization and haptics. iMSTK has been used in a variety of virtual simulations, including for laparoscopic hiatal hernia surgery, laparoscopic cholecystectomy, osteotomy procedures, and kidney biopsy procedures. Discussion: iMSTK currently supports building simulations for a wide range of surgical scenarios. Future work includes expanding Unity support to make it easier to use and improving the speed of the computation to allow for larger scenes and finer meshes for larger surgical procedures. [ABSTRACT FROM AUTHOR]