Artificial intelligence-enhanced diagnosis of degenerative joint disease using temporomandibular joint panoramic radiography and joint noise data by Eunhye Choi, Seokwon Shin, Kijin Lee, Taejin An, Richard K. Lee, Sunmin Kim, Youngdoo Son, Seong Teak Kim

“…A total of 2631 TMJ panoramic images were collected, resulting in a final dataset of 3908 images (2127 normal (N) and 1781 DJD (D)) after excluding indeterminate cases and errors. AI models using GoogleNet were evaluated with six different combinations of image data, clinician-detected crepitus, and patient-reported joint noise. …”
Get full text

Three-dimensional surface deformation field monitoring and influencing factors analysis in mountainous areas based on SBAS-INSAR technology (Tianjin, China) by Jun Shang, Mingyang Wang, Xin Wang, Mengyao Yang, Yifan Wu, Wangze Du

“…The comprehensive analysis of land subsidence in northern Tianjin’s mountainous region revealed multi-directional surface deformation characteristics, with validation against GNSS Kriging interpolation data demonstrating root mean square errors of 5.74 mm and 5.09 mm in vertical and east–west directions, respectively. …”
Get full text

Application of capsule networks based on reparameterized heterogeneous convolution in multi-scale heterogeneous environment matrix in predictive modeling of interdisciplinary compl... by Shuya Liu, Xiaoli Zhang

“…For the purpose of meteorological change prediction, the average Brier score remains around 0.08, indicating low error and high stability. In the context of economic trend prediction, the directional accuracy for GDP growth rate and unemployment rate is 94.17% and 95.35%, respectively, with inflection point detection deviations of only 0.9 and 1.2 quarters. …”
Get full text

Bayesian deep learning applied to diabetic retinopathy with uncertainty quantification by Masoud Muhammed Hassan, Halbast Rashid Ismail

“…In the case of Diabetic Retinopathy (DR), DL models have shown high efficacy in tasks such as classification, segmentation, detection, and prediction. However, DL model's opacity and complexity lead to errors in decision-making, particularly in complex cases, making it necessary to estimate the model's uncertainty in predictions. …”
Get full text

‘I can’t understand why others don’t screen more’: a qualitative study exploring why Australian general practitioners screen for primary aldosteronism by Sanne Peters, Jun Yang, Grant Russell, Abhir Krishan Nainani

“…Knowledge of the screening process, cost and convenience of performing the aldosterone–renin ratio, conceptualisation of risk related to PA, and a desire to improve clinical care were influencing factors that modified the GPs’ screening experience.Conclusion Our findings suggest that knowledge gaps, practical limitations of the aldosterone–renin ratio, and errors in diagnostic reasoning were challenges of routine PA screening. …”
Get full text

Real-Time, Risk-Based Clinical Trial Quality Management in China: Development of a Digital Monitoring Platform by Min Jiang, Shuhua Zhao, Yun Mei, Zhiying Fu, Yannan Yuan, Jie Ai, Yuan Sheng, Ying Gong, Jingjing Chen

“…ObjectiveThe objective of this study was to develop a digital monitoring platform that allows for the real-time monitoring and detection of risk points and provides warnings about risk points throughout the entire life cycle of clinical trials, on the basis of historical clinical trial quality control (QC) findings. …”
Get full text

Cross-Line Fusion of Ground Penetrating Radar for Full-Space Localization of External Defects in Drainage Pipelines by Yuanjin Fang, Feng Yang, Xu Qiao, Maoxuan Xu, Liang Fang, Jialin Liu, Fanruo Li

“…The results demonstrate that the proposed approach achieves axial positioning errors of less than 2.0 cm, spatial angular positioning errors below 2°, and depth coordinate errors within 2.3 cm. …”
Get full text

Modelling cognitive decline in the Hypertension in the Very Elderly Trial [HYVET] and proposed risk tables for population use. by Ruth Peters, Nigel Beckett, Robert Beardmore, Rafael Peña-Miller, Kenneth Rockwood, Arnold Mitnitski, Shahrul Mt-Isa, Christopher Bulpitt

“…Cognitive states were defined in relation to errors on the Mini-Mental State Examination, with more errors signifying worse cognition. …”
Get full text

Neurophysiologic features in glutaric aciduria type I by Dilek Yalnizoğlu, Neriman Sari, Güzide Turanli, Turgay Coşkun, Meral Topçu

“…This finding probably indicates underlying cerebral dysfunction, and is not a specific feature. …”
Get full text

Coexistence of a Leaky SCID Phenotype With Hyperphenylalaninemia in an Adult Case by Ugur Musabak, Tuba Erdogan, Muserref Sule Akcay, Serdar Ceylaner

“…For this reason, cases where diseases related to inborn errors of immunity (IEI) and metabolism errors are detected in the same patient are encountered more frequently. …”
Get full text

Ocular Manifestations Among Thalassemia Patients Presenting to Tertiary Care Hospital in Jammu Region by Sonika Syal, Rukhsana Kousar, Riya Gupta, Hans Raj Sharma, Manpreet Kaur

“…Aims: This study aims to find out the ocular manifestations in thalassemia patients at a tertiary care hospital in Jammu region. …”
Get full text

Research on water body information extraction and monitoring in high water table mining areas based on Google Earth Engine by Anya Zhong, Zhen Wang, Yulong Gen

“…The research findings offer a foundation for the formulation of land reclamation and ecological restoration plans in coal mining subsidence areas.…”
Get full text

Automated diagnosis and classification of metacarpal and phalangeal fractures using a convolutional neural network: a retrospective data analysis study by Michael Axenhus, Anna Wallin, Jonas Havela, Sara Severin, Ablikim Karahan, Max Gordon, Martin Magnéli

“… Background and purpose: Hand fractures are commonly presented in emergency departments, yet diagnostic errors persist, leading to potential complications. …”
Get full text

Prevalence and Causes of Blindness and Vision Impairment in the State of Qatar: Results of a Population-Based Cross-Sectional Study by Mohammed AlThani, Mariam Abdulmalik, Samya AlAbdulla, Kholoud AlMotawaa, Halla Algadi, Muhammad Rabiu, Ian McCormick, Shadi AlAshwal

“…VI was mainly caused by DR, cataract, and uncorrected refractive error. Further reduction in vision loss can be achieved with early detection and improved access using innovation and technology. …”
Get full text

Persistent pathogens as risk factors of community-acquired pneumonia and acute bronchitis in children by O. V. Zhukova, N. F. Brusnigina, S. V. Kononova, E. V. Speranskaya, E. I. Efimov

“…The control group consisted of 127 healthy children of different ages. The detection of M. pneumoniae, Сytomegalovirus, Herpes simplex I/II C. pneumoniae was performed by PCR. …”
Get full text

Enhancing Cross-Modal Camera Image and LiDAR Data Registration Using Feature-Based Matching by Jennifer Leahy, Shabnam Jabari, Derek Lichti, Abbas Salehitangrizi

“…Registering light detection and ranging (LiDAR) data with optical camera images enhances spatial awareness in autonomous driving, robotics, and geographic information systems. …”
Get full text

Centre-based landscape of muscular dystrophies in Gujarat: insight into genetic diagnosis and management by Gaurang Sindhav, Pooja Trivedi, Krishnakumari Patel, Dhruv Prajapati, Anil Shah, Sharad Gupta

“…Abstract DNA, RNA, or protein errors can lead to globally prevalent genetic disorders, though precise rates are difficult to determine due to underreporting. …”
Get full text

Advancing CH₄ and N₂O retrieval strategies for NDACC/IRWG FTIR observations with the support of airborne in situ measurements by I. Ortega, J. W. Hannigan, B. C. Baier, K. McKain, D. Smale

“…Uncertainty budgets combining random and systematic sources are provided. Random errors, mainly stemming from temperature profile uncertainties and measurement noise, dominate in the troposphere for both gases, with a retrieval random error of 0.5 %. …”
Get full text

Savi’s pipistrelle (Hypsugo savii) in Ukraine: analysis of records and evidence of expansion by Igor Polischuk, Igor Zagorodniuk

“…The only recent actual find, the description of which contains a number of dubious facts, is an indication of the detection of a hibernating Savi’s pipistrelle in the Sevastopol youth centre. …”
Get full text

Challenges in Implementing Artificial Intelligence in Breast Cancer Screening Programs: Systematic Review and Framework for Safe Adoption by Serene Goh, Rachel Sze Jen Goh, Bryan Chong, Qin Xiang Ng, Gerald Choon Huat Koh, Kee Yuan Ngiam, Mikael Hartman

“…However, its integration into clinical workflows faces several challenges, including unintended errors, the need for professional training, and ethical concerns. …”
Get full text