In recent decades, three-dimensional (3D) printing as an emerging technology, has been utilized for imparting human anatomy knowledge. However, most 3D printed models are rigid anatomical replicas that are unable to represent dynamic spatial relationships between different anatomical structures. In this study, the data obtained from a computed tomography (CT) scan of a normal knee joint were used to design and fabricate a functional knee joint simulator for anatomical education. Utility of the 3D printed simulator was evaluated in comparison with traditional didactic learning in first-year medical students (n = 35), so as to understand how the functional 3D simulator could assist in their learning of human anatomy. The outcome measure was a quiz comprising 11 multiple choice questions based on locking and unlocking of the knee joint. Students in the simulation group (mean score = 85.03%, ±SD 10.13%) performed significantly better than those in the didactic learning group, P < 0.05 (mean score = 70.71%, ±SD 15.13%), which was substantiated by large effect size, as shown by a Cohen's d value of 1.14. In terms of learning outcome, female students who used 3D printed simulators as learning aids achieved greater improvement in their quiz scores as compared to male students in the same group. However, after correcting for the modality of instruction, the sex of the students did not have a significant influence on the learning outcome. This randomized study has demonstrated that the 3D printed simulator is beneficial for anatomical education and can help in enriching students' learning experience. Anat Sci Educ 12: 610-618.

There is currently no objective portable screening modality for narrow angles in the community. In this prospective, single-centre image validation study, we used machine learning on slit lamp images taken with a portable smartphone device (MIDAS) to predict the central anterior chamber depth (ACD) of phakic patients with undilated pupils. Patients 60 years or older with no history of laser or intraocular surgery were recruited. Slit lamp images were taken with MIDAS, followed by anterior segment optical coherence tomography (ASOCT; Casia SS-1000, Tomey, Nagoya, Japan). After manual annotation of the anatomical landmarks of the slit lamp photos, machine learning was applied after image processing and feature extraction to predict the ACD. These values were then compared with those acquired from the ASOCT. Sixty-six eyes (right = 39, 59.1%) were included for analysis. The predicted ACD values formed a strong positive correlation with the measured ACD values from ASOCT (R2 = 0.91 for training data and R2 = 0.73 for test data). This study suggests the possibility of estimating central ACD using slit lamp images taken from portable devices.

ObjectiveThe objective of the study was to assess the effectiveness of training low-to-middle-income countries' local healthcare providers using the Train-the-trainers model in basic colposcopy for cervical cancer prevention.MethodThis project was designed based on a philosophy known as Train-the-trainers which train proficient colposcopists and a cadre of local trainers who can continue to train and maintain their expertise in a self-sustaining system. The Train-the-trainers workshop is a 1-day program that focuses on three domains; knowledge, communication, and practical skills. Trainer candidates were given pre-course reading assignments and presentation decks. The expert trainers provided feedback on their presentations and tips on communication skills. The practical aspects of the training are supported by proficiency at the Loop Electro-excision procedure simulator and their responses to frequently asked questions.ResultsSixteen physicians from Vietnam attended the Colposcopy Workshop in 2018 and are used as controls. Eleven attended a workshop conducted by trainer candidates who went through the training program outlined above in 2019. A Wilcoxon Signed-ranks test indicated that differences between pre- and post-quizzes' scores were statistically significant in both the 2018 (Z=4.21, P=0.003, r=1.26) and 2019 cohorts (Z=3.558, P<0.001, r=0.89) while Mann–Whitney U test did not detect the difference between the 2018 and 2019 cohorts, U=70.0, P=0.359, r=0.176. The subjective feedback scores from Year 2019 were similar to scores to Year 2018.ConclusionOur preliminary data did not highlight any differences between lectures delivered by expert trainers and lectures delivered by trainer candidates trained in the program. Train-the- trainers might be a more sustainable model for organically raising expertise to effectively provide cervical cancer screening and prevention in low-to-middle-income countries.

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