Improving automated deep phenotyping through large language models using retrieval-augmented generation by Brandon T. Garcia, Lauren Westerfield, Priya Yelemali, Nikhita Gogate, E. Andres Rivera-Munoz, Haowei Du, Moez Dawood, Angad Jolly, James R. Lupski, Jennifer E. Posey

“…While large language models (LLMs) hold promise for more context-driven phenotype extraction, they are prone to errors and “hallucinations,” making them less reliable without further refinement. …”
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Trend and prediction of daily incidence of hand, foot, and mouth disease in Shenzhen, 2011 - 2023 with projections to 2024: a Prophet model approach by Wenhai LU, Lixia SONG, Huawei XIONG, Zhigao CHEN, Yan LU, Yanpeng CHENG, Zhen ZHANG

“…Model performance was evaluated using four metrics: mean square error (MSE), mean absolute error (MAE), root mean square error (RMSE), and symmetric mean absolute percentage error (SMAPE). …”
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Stressors contributing to burnout among acute care and trauma surgery care teams: a systems-analysis approach by Karthik Adapa, Lukasz Mazur, Elizabeth Kwong, Thomas Ivester, Caprice Greenberg, Viola Goodacre, Lisa Vizer, Jin Ra, Nadia Charguia, Lawrence B Marks

“…Background Burnout negatively impacts healthcare professionals’ well-being, leading to an increased risk of human errors and patient harm. There are limited assessments of burnout and associated stressors among acute care and trauma surgery teams.Methods Acute care and trauma surgery team members at a US academic medical center were administered a survey that included a 2-item Maslach Burnout Inventory and 21 workplace stressors based on the National Academy of Medicine’s systems model of clinician burnout and professional well-being. …”
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Pooling the complex survey data across the 64 lower and middle-income countries: A study on antibiotic usage in under-five children by Md Fakrul Islam, Prosenjit Basak Arka, Mahfuzer Rohman, Md Sabbir Hossain, Md Rashed Babu, Hasin Anupama Azhari, Md Jamal Uddin

“…Sample weights were employed in studies to ensure exact standard errors and estimate p-values. To analyze antibiotic exposures across countries, continents, economic levels, and the top and bottom ten countries with fever/cough, we conducted descriptive statistics. …”
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3D printing of radioactive wall-less PET phantoms improves threshold-based target delineation and quantification by Adrian Jun Zounek, Nico Maximilian Joerg, Felix Lindheimer, Artem Zatcepin, Giovanna Palumbo, Rosel Oos, Astrid Delker, Franz Josef Gildehaus, Andreas Bollenbacher, Guido Boening, Peter Bartenstein, Matthias Brendel, Nathalie Lisa Albert, Sibylle Ziegler, Lena Kaiser

“…Theoretical considerations show that the inactive walls of the phantom cavities introduce a contrast dependence of the volume-reproducing threshold (VRT), potentially leading to segmentation errors and therefore miscalculations of target volumes. …”
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Sex-specific trunk movement coordination in participants with low-back pain and asymptomatic controls by Lukas Fischer, Lukas Fischer, Arno Schroll, Arno Schroll, Hendrik Schmidt, Adamantios Arampatzis, Adamantios Arampatzis

“…On the other hand, the increased local instability of the trunk during the cyclic coordination task studied indicates control errors in the regulation of trunk movement in participants with chronic low-back pain and could be considered a useful diagnostic tool in chronic low-back pain.…”
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Bias Mitigation in Primary Health Care Artificial Intelligence Models: Scoping Review by Maxime Sasseville, Steven Ouellet, Caroline Rhéaume, Malek Sahlia, Vincent Couture, Philippe Després, Jean-Sébastien Paquette, David Darmon, Frédéric Bergeron, Marie-Pierre Gagnon

“…However, these approaches sometimes exacerbated prediction errors across groups or led to overall model miscalibrations. …”
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A Food Intake Estimation System Using an Artificial Intelligence–Based Model for Estimating Leftover Hospital Liquid Food in Clinical Environments: Development and Validation Study... by Masato Tagi, Yasuhiro Hamada, Xiao Shan, Kazumi Ozaki, Masanori Kubota, Sosuke Amano, Hiroshi Sakaue, Yoshiko Suzuki, Takeshi Konishi, Jun Hirose

“…Furthermore, it also showed a higher accuracy than the image visual estimation. The errors of the AI estimation method were within the acceptable range of the weighing method, which indicated that the AI-based food intake estimation system could be applied in clinical environments. …”
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Detecting Artificial Intelligence–Generated Versus Human-Written Medical Student Essays: Semirandomized Controlled Study by Berin Doru, Christoph Maier, Johanna Sophie Busse, Thomas Lücke, Judith Schönhoff, Elena Enax- Krumova, Steffen Hessler, Maria Berger, Marianne Tokic

“…ConclusionsThe findings suggest that both medical and humanities experts were able to identify ChatGPT-generated texts in medical contexts, with their decisions largely based on linguistic attributes. …”
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The effect of engaging unpaid informal providers on case detection and treatment initiation rates for TB and HIV in rural Malawi (Triage Plus): A cluster randomised health system i... by George Bello, Brian Faragher, Lifah Sanudi, Ireen Namakhoma, Hastings Banda, Rasmus Malmborg, Rachael Thomson, S Bertel Squire

“…Poisson regression models with robust standard errors were used to express the effectiveness of the intervention as incidence rate ratios (IRR).…”
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Digital Translation Platform (Translatly) to Overcome Communication Barriers in Clinical Care: Pilot Study by Victor Olsavszky, Mutaz Bazari, Taieb Ben Dai, Ana Olsavszky, Fabian Finkelmeier, Mireen Friedrich-Rust, Stefan Zeuzem, Eva Herrmann, Jan Leipe, Florian Alexander Michael, Hans von Westernhagen, Olivier Ballo

“… BackgroundLanguage barriers in health care can lead to misdiagnosis, inappropriate treatment, and increased medical errors. Efforts to mitigate these include using interpreters and translation tools, but these measures often fall short, particularly when cultural nuances are overlooked. …”
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Evolutionary pattern and a calculation method of in situ gas pressure based on pressure-retaining coal cores by Mingzhong GAO, Jie SONG, Pengfei CUI, Yongcheng LI, Zhipeng WANG, Xuemin ZHOU, Ju LI, Zongxin HAO, Haichun HAO

“…The average relative errors of the gas pressure calculation results under various moisture contents were 2.22%, 1.29%, 0.39%, and 0.80%, respectively. …”
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Re‐evaluating fetal scalp pH thresholds: An examination of fetal pH variations during labor by Aude Girault, Camille Le Ray, Charles Garabedian, François Goffinet, Xavier Tannier

“…Linear regression models were used to model the evolution of the pH drop rate estimating slope and standard errors across predefined pH intervals. Exploration of alternative pH action thresholds was conducted. …”
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THE REASONS THAT LEAD TO THE REDUCTION OF THE USE OF NON-REMOVABLE PROSTHESIS DESIGNS by M.J. Nidzelskyy, N.V. Tsvetkova, S.S. Yasnogorskaya

“…These tests were performed only in patients without clinical signs of periodontitis and phenomena parodontopatii. Conclusions. These data indicate a phenomenon sources chronic infection caused by the prosthesis. …”
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Evaluation of the HumanMethylationEPIC v2.0 Bead Chip Using Low Quality and Quantity DNA Samples by Brando Poggiali, Mikkel Eriksen Dupont, Marie-Louise Kampmann, Athina Vidaki, Vania Pereira, Claus Børsting, Jacob Tfelt-Hansen, Jeppe Dyrberg Andersen

“…Finally, we assessed an application of DNAm by performing epigenetic age analysis, and observed mean absolute errors (MAEs) below 10 years for 350 bp samples across four epigenetic clocks. …”
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Enhancing public health surveillance: SARIMAX model incorporating Baidu search index for HCV prediction in China by Huan Ning, Yingji Lan, Qianqian Huang, Tingyan Luo, Jing Yang, Jie Zhou, Zhuoxin Li, Ping Cui, Hao Liang, Jiegang Huang

“…The performance of these predictive models was evaluated using mean absolute error (MAE), root mean square error (RMSE), and mean absolute percentage error (MAPE). …”
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Accuracy, inter‐ and intrarater reliability, and user‐experience of high tibial osteotomy angle measurements for preoperative planning: manual planning PACS versus semi‐automatic s... by Iris E. W. G. Laven, Femke F. Schröder, Feike deGraaff, J. Christiaan Rompen, Roy A. G. Hoogeslag, Albert H. vanHouten

“…Additionally, measurements errors of more than 3° were remeasured and reanalysed. …”
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Vital Sign and Biochemical Data Collection Using Non-contact Photoplethysmography and the Comestai Mobile Health App: Protocol for an Observational Study by Gianvincenzo Zuccotti, Paolo Osvaldo Agnelli, Lucia Labati, Erika Cordaro, Davide Braghieri, Simone Balconi, Marco Xodo, Fabrizio Losurdo, Cesare Celeste Federico Berra, Roberto Franco Enrico Pedretti, Paolo Fiorina, Sergio Maria De Pasquale, Valeria Calcaterra

“…The proposed approach’s effectiveness will be evaluated using various quality criteria, including the mean error, SD, mean absolute error, root mean square error, and mean absolute percentage error. …”
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Forecasting motion trajectories of elbow and knee joints during infant crawling based on long–short-term memory (LSTM) networks by Jieyi Mo, Qiliang Xiong, Ying Chen, Yuan Liu, Xiaoying Wu, Nong Xiao, Wensheng Hou

“…Evaluation metrics included Mean Absolute Error (MAE), Mean Squared Error (MSE), and Correlation Coefficient (CC) to assess prediction accuracy. …”
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Automated Pathologic TN Classification Prediction and Rationale Generation From Lung Cancer Surgical Pathology Reports Using a Large Language Model Fine-Tuned With Chain-of-Thought... by Sanghwan Kim, Sowon Jang, Borham Kim, Leonard Sunwoo, Seok Kim, Jin-Haeng Chung, Sejin Nam, Hyeongmin Cho, Donghyoung Lee, Keehyuck Lee, Sooyoung Yoo

“… BackgroundTraditional rule-based natural language processing approaches in electronic health record systems are effective but are often time-consuming and prone to errors when handling unstructured data. This is primarily due to the substantial manual effort required to parse and extract information from diverse types of documentation. …”
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