Olympus (Australia)

Radiographic measurement of patient-specific spinopelvic mobility is standard-of-care in total hip arthroplasty (THA). Current manual methods are time-consuming, subjective, and error-prone. This study utilized deep learning (DL) to classify functional positions and measure pelvic tilt (PT), sacral slope (SS) and lumbar lordotic angle (LLA). A DL pipeline integrating image classification, vertebra detection, and landmark detection was developed using data from an international joint registry, comprising 52,772 images for classification, 9,875 for object detection, and 25,249 for landmark detection. Performance was evaluated using area under the curve (AUC), F1 score, and mean absolute error (MAE). Accuracy was compared to annotations by three expert engineers and validated by two senior engineers and a surgeon. Radiographs were processed in 1.96 ± 0.04 s, achieving precision, recall, Receiver-operator-characteristic-AUC, and Precision-Recall-AUC metrics above 0.994. Anatomical landmark predictions resulted in errors of: PT: 1.6°±2.1°, SS: 3.3°±2.6°, LLA: 4.2°±3.2°. There was no significant difference in PT and LLA between expert engineers and the DL pipeline, and 0.5° difference in SS (p = 0.043). Clinical validation showed no difference in landmark rejection rates (p > 0.05). We developed and clinically validated a DL pipeline that accurately measures patient-specific spinopelvic mobility from lateral functional radiographs, providing a scalable method for routine characterization in THA patients.Supplementary InformationThe online version contains supplementary material available at 10.1038/s41598-025-16824-6.

ObjectiveDespite the benefits of digital transformation, many healthcare organisations still rely on manual, traditional processes to transfer clinical images and videos to electronic patient records (EPRs), consuming valuable nurse–patient-facing time. Our study aimed to outline tasks performed by nurses to traditionally transfer clinical images and videos to EPRs, assess the impact on nurses’ time and efficiency cost, and report on nurse experiences when transitioning to a digitised process.MethodsObservations spanned two one-week periods in the ENT outpatient department of Royal Devon University Healthcare NHS Foundation Trust, using direct observational time and predetermined motion time system analysis to map nurses’ tasks pre-and post-implementation of a Medical Video Recorder and Centralised Medical Content Management. Two staff experience surveys were conducted, and data was aggregated to evaluate the impact of digitisation.ResultsNurses traditionally followed two processes to transfer clinical images and video to EPRs. Digitisation saved 43 seconds per endoscopy (a 10% efficiency gain) compared to Process 1, in which nurses print, attach, scan, and digitise images off-site to EPRs, and 3 minutes and 8 seconds (a 33% efficiency gain) compared to Process 2, where urgent content is recorded on an iPad and transferred to EPRs. Digitising could save nurses 26 working days annually by reducing non-patient-facing tasks in the ENT department, leading to an annual time efficiency cost-saving of £6780. Furthermore, 75% of nurses reported significantly improved morale, 63% strongly agreed that digitisation improved confidence in the accuracy of patient details, and all paper processes were eliminated.ConclusionOur findings highlight the inefficiency of traditional methods in transferring images and videos to EPRs. Digital transformation could enhance nursing efficiency and morale, improving care quality. Future studies should evaluate the effectiveness of Medical Video Recorders and Centralised Medical Content Management in other departments.

Background The Australian Fire Danger Rating System (AFDRS) was implemented operationally throughout Australia in September 2022, providing calculation of fire danger forecasts based on peer-reviewed fire behaviour models. The system is modular and allows for ongoing incorporation of new scientific research and improved datasets. Aims Prior to operational implementation of the AFDRS, a Research Prototype (AFDRSRP), described here, was built to test the input data and systems and evaluate the performance and potential outputs. Methods Fire spread models were selected and aligned with fuel types in a process that captured bioregional variation in fuel characteristics. National spatial datasets were created to identify fuel types and fire history in alignment with existing spatial weather forecast layers. Key results The AFDRSRP demonstrated improvements over the McArthur Forest and Grass Fire Danger systems due to its use of improved fire behaviour models, as well as more accurately reflecting the variation in fuels. Conclusions The system design was robust and allowed for the incorporation of updates to the models and datasets prior to implementation of the AFDRS.

Indonesia and Australia both ratified the comprehensive economic partnership, agreement Indonesia-Australia Comprehensive Economic Partnership Agreement (IA-CEPA), to improve Indonesia's export performance to Australia. However, after the IA-CEPA cooperation started, Indonesia's trade balance became increasingly deficit. It raised the assumption that Indonesia's benefits in this cooperation differed from those obtained by Australia. Therefore, this study examines the interchange between the two countries under IA-CEPA cooperation in 2020-2021. The research method used is qualitative, with descriptive analysis and triangulation to test the validity of the data. The results of this study indicate that even though Indonesia's trade balance with Australia during the IA-CEPA cooperation period experienced a deficit, the two countries both received mutual benefits according to their individual needs, where Australia benefited through increasing its exports to Indonesia and Indonesia. Helped through various economic assistance programs provided by Australia.

Abstract Recent landscape‐scale wildfires in eastern Australia have made apparent the need for a greater understanding of the flammability dynamics of forested ecosystems. Fire severity is a measure of the impact of a fire on vegetation, but little is known about the landscape‐scale response of the fire‐prone dry sclerophyll forests of eastern Australia to different levels of fire severity. Species in these forests have multiple responses to fire, which can be dependent on the fire severity. In this study, we aimed to determine the effect of fire severity on the vegetation structure, and therefore flammability, of these forests. We addressed two hypotheses that 1) High severity fire would result in a denser understory than low severity fire after 5 years and that 2) High severity fire would reduce the vertical separation between understory and canopy after 5 years. Field surveys of 38 forest sites with differing fire severity but standardised time since fire and forest type, in Sydney region of New South Wales, Australia, were used to test these hypotheses. We found lower canopy cover and greater understory cover (0.5–4 m height) after high severity fire compared with sites which burnt at low severity. Vertical separation was less between the canopy and understory at sites after high severity fire than after low severity fire. The greater quantity of understory fuel and greater vertical continuity in fuel structure observed suggests a potential increase in forest flammability after high severity fire compared with lower severity fires in these forest types.

Eccrine carcinomas are a rare tumor entity which originates from eccrine glands and comprise <0.01% of all cutaneous tumors. Eccrine carcinoma subtypes are classified based on their distinct histopathological pattern. Squamoid eccrine ductal carcinoma (SEDC) is a rare subtype, characterized by both squamous and adnexal ductal differentiation, and resembles squamous cell carcinoma on clinical examination. Given the rarity of these tumors, there remains a lack of clear diagnostic criteria or treatment guidelines for the management of SEDC. We report a rare case of SEDC with perineural invasion in an elderly gentleman who was treated with wide local excision.