Performance of Plug-In Augmented ChatGPT and Its Ability to Quantify Uncertainty: Simulation Study on the German Medical Board Examination by Julian Madrid, Philipp Diehl, Mischa Selig, Bernd Rolauffs, Felix Patricius Hans, Hans-Jörg Busch, Tobias Scheef, Leo Benning

“…Additionally, we conducted an analysis to assess how the models justify their answers, the accuracy of their responses, and the error structure of their answers. …”
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Evaluating the Effectiveness of Artificial Intelligence in Prostate Cancer Detection using Biparametric Magnetic Resonance Imaging: A Comparative Study by Rossy Vlăduţ TEICĂ, Ioana Andreea GHEONEA

“…Error distribution included 36% false-negative findings, 21% false-positive findings, 20% PI-RADS (Prostate Imaging-Reporting and Data System) overestimations, and 23% PI-RADS underestimations. …”
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Introducing a Novel Figure of Merit for Evaluating Stability of Perovskite Solar Cells: Utilizing Long Short-Term Memory Neural Networks by Zahraa Ismail, Ahmet Sait Alali, Ahmad Muhammad, Mahmoud Ashraf, Sameh O. Abdellatif

“…By harnessing the power of artificial intelligence and data analytics, we analyzed extensive datasets encompassing PSC parameters, experimental results, and environmental conditions, revealing critical insights into the degradation patterns affecting cell performance over time. …”
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Optimized Deployment of Generalized OCDM in Deep-Sea Shadow-Zone Underwater Acoustic Channels by Haodong Yu, Cheng Chi, Yongxing Fan, Zhanqing Pu, Wei Wang, Li Yin, Yu Li, Haining Huang

“…Theoretical analysis and practical simulations confirm that GOCDM preserves the full frequency diversity benefits of traditional OCDM, while mitigating PARR-related limitations. …”
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Accuracy of the Freestyle Libre 3 Continuous Glucose Monitoring System in Hypo‐ and Euglycemic Cats by Antonio M. Tardo, Chiquitha Crews, Jocelyn Mott, Lauren T. Porter, Christopher Adin, Chen Gilor

“…Pearson's r test, Bland–Altman test, and Parkes Error Grid analysis (EGA) respectively used to determine correlation, bias, and clinical accuracy. …”
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Acute peritoneal dialysis in neonatal intensive care unit: An 8-year experience of a referral hospital by Aslihan Kara, Metin Kaya Gurgoze, Mustafa Aydin, Erdal Taskin, Unal Bakal, Aysen Orman

“…Demographic, clinical, laboratory and microbiological data were extracted from patients' medical files. …”
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In-Field Forage Biomass and Quality Prediction Using Image and VIS-NIR Proximal Sensing with Machine Learning and Covariance-Based Strategies for Livestock Management in Silvopasto... by Claudia M. Serpa-Imbett, Erika L. Gómez-Palencia, Diego A. Medina-Herrera, Jorge A. Mejía-Luquez, Remberto R. Martínez, William O. Burgos-Paz, Lorena A. Aguayo-Ulloa

“…This study investigates the in-field dynamics of Mombasa grass (<i>Megathyrsus maximus</i>) forage biomass production and quality using optical techniques such as visible imaging and near-infrared (VIS-NIR) hyperspectral proximal sensing combined with machine learning models enhanced by covariance-based error reduction strategies. Data collection was conducted using a cellphone camera and a handheld VIS-NIR spectrometer. …”
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USE OF TRIANGULAR MODELS OF NON-STATIONARY PROCESSES IN MODELING VARIABILITY OF HEART RHYTHM by Olena Akhiiezer, Olha Dunaievska, Mykhailo Shyshkin, Olha Butova, Anton Rohovyi

“…The qualitative assessment of the possibilities of the proposed models to generate artificial ECG provided the possibility of visual analysis by the cardiologist of the identity of the interpretation of real ECG records. …”
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A Comparative Study of Indoor Accuracies Between SLAM and Static Scanners by Anna Chrbolková, Martin Štroner, Rudolf Urban, Ondřej Michal, Tomáš Křemen, Jaroslav Braun

“…Five devices were evaluated: two static scanners (Leica RTC 360 and Trimble X7) and three SLAM scanners (GeoSLAM ZEB Horizon RT, Emesent Hovermap ST-X, and FARO Orbis). Accuracy analysis included systematic and random error assessment, axis-specific displacement evaluation, and profile-based local accuracy measurements. …”
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Investigating the Effectiveness of Coal-Fired Power Plant Operations: Management, Technical and Air Pollution Aspects by Zamzam T. A. Ramly, Mohd Y. Ishak, Ahmad M. Abdullah, Marzuki Ismail, Samsuri Abdullah, Amalina Abu Mansor

“…Principal Component Analysis (PCA) was used to simplify large data sets. …”
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Possibilities of using artificial intelligence technologies in the morphological diagnosis of inflammatory bowel diseases (literature review) by E. G. Churilova, A. B. Kazumova, Kh. M. Akhrieva, N. V. Pachuasvili, A. S. Tertychnyy

“…This study focuses on the role of artificial intelligence (AI) in the morphological diagnosis of IBD, endoscopic visualization, outcome prediction, and patient monitoring. Aim: To summarize data on the application of AI methods in the diagnosis and treatment of IBD, including digital image analysis, remission prediction, inflammation activity evaluation, and the automation of histological and endoscopic assessment processes. …”
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Video-Based Assessment of Surgical Skill in Orthopaedic Surgery by Jillian McNally, MD, David Wilson, MD, MSc, FRCSC, Emma E. Jones, BScH, Neyousha Shahisavandi, MPH, Caroline King, PhD, Chad Coles, MD, FRCSC, Raymond Andrew Glennie, MD, MSc, FRCSC

“…There was a 19.7% error rate, meaning the videos were generally 80% accurate in predicting the year of training. …”
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Hyperspectral Imaging for Non-Destructive Moisture Prediction in Oat Seeds by Peng Zhang, Jiangping Liu

“…The corresponding mean absolute error (MAE) on the test set was 0.170, indicating excellent average prediction accuracy. …”
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Development and validation of the Japanese version of the Public Attitudes Toward Epilepsy (PATE‐J) Scale by Junichi Hatakeda, Hiroumi Shimazaki, Izumi Kuramochi, Takayuki Iwayama, Sayaka Kobayashi, Hideyuki Matsuki, Haruo Yoshimasu, Kheng Seang Lim

“…The PATE Scale was translated following standard guidelines and validated by conducting confirmatory factor analysis (CFA) on the complete data set to assess the original two‐factor structure of the PATE Scale. …”
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Utilization of the mid-infrared spectroscopy in a county-scale soil survey: The case of Pest County, Hungary by Mohammed Ahmed MohammedZein, Brian Rotich, Elsadig Omer, Nada Eldawwy, Adam Csorba

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Investigating the impact of meteorological parameters on daily soil temperature changes using machine learning models by Farrokh Asadzadeh, Somayeh Emami, Ahmed Elbeltagi, Muhammed Ernur Akiner, Vahid Rezaverdinejad, Farshid Taran, Ali Salem

“…Additionally, the ANN model exhibited the lowest error rates across all depths, highlighting its superior capability for estimating daily ST in agricultural soils. …”
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Predicting Pharmacokinetics of Active Constituents in <i>Spatholobi caulis</i> by Using Physiologically Based Pharmacokinetic Models by Xiaoyan Liu, Ruihu Du, Tao Zhang, Yingzi Li, Ludi Li, Zheng Yang, Youbo Zhang, Qi Wang

“…The accuracy of the PBPK models was assessed using fold-error (FE) values. Result: The FE values ranged from 1.03 to 1.52, meeting the PBPK model regulations where FE should be less than 2. …”
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Transforming heart transplantation care with multi-omics insights by Zhengbang Zou, Jianing Han, Zhiyuan Zhu, Shanshan Zheng, Xinhe Xu, Sheng Liu

“…Omic technologies usually refers to the application of multiple high-throughput screening technologies enabling comprehensive analysis of biological systems at a molecular level. …”
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Preventing reduction loss following proximal humerus fractures after locking compression plate fixation: a new clinical prediction model by Yiyuan Yang, Zhuo Chen, Yuanyu Hu, Fang Zhou, Zhishan Zhang, Yang Lv, Hongquan Ji, Yan Guo, Guojin Hou, Yun Tian

“…Methods We retrospectively included data from adult patients with PHFs who underwent LCP fixation at our institution between January 2010 and July 2023 and met the inclusion criteria. …”
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Developing supervised machine learning algorithms to classify lettuce foliar tissue samples into interpretation zones for 11 plant essential nutrients by Patrick Veazie, Hsuan Chen, Kristin Hicks, Jake Holley, Nathan Eylands, Neil Mattson, Jennifer Boldt, Devin Brewer, Roberto Lopez, Brian Whipker

“…Abstract Greenhouse crop nutrient management recommendations based on foliar tissue testing rely heavily on human interpretation, which can result in recommendation variations and errors. Critical nutrient ranges vary for each species, and the potential for error in interpretation increases due to this complexity. …”
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