Impact of artificial intelligence on electronic health record-related burnouts among healthcare professionals: systematic review by Berna Sarraf, Ali Ghasempour

“…The identified interventions were categorized into four domains: ambient artificial intelligence scribes, clinical decision support systems, large language models, and natural language processing tools. …”
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Nexus of green human resource management and sustainable corporate performance: the mediating roles of green behavior and green commitment by Thanh Tiep Le, Duc Hieu Tham

“…Data are gathered from a sample comprising 322 senior managers and directors representing various enterprises. …”
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Novel classification for microspherophakia and its related surgical implications: a retrospective cohort study by Yan Liu, Yang Sun, Zexu Chen, Tianhui Chen, Yongxiang Jiang, Qiuyi Huo, Wan-Nan Jia, Zhennan Zhao

“…This classification offers valuable insights for outcome stratification and guidance in clinical decision-making for MSP management. However, the limitations of this study include its small sample size, which may impact generalisability, and future studies with larger cohorts are needed to validate and refine the nomogram.…”
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Construction and Evaluation of a Predictive Nomogram for Identifying Premature Failure of Arteriovenous Fistulas in Elderly Diabetic Patients by Liu S, Wang Y, He X, Li X

“…The calibration curve, derived from 1000 bootstrap samples, showed good agreement between predicted and observed outcomes. …”
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ANALISIS PENGARUH KUALITAS PELAYANAN PENYULUH PERTANIAN TERHADAP KEPUASAN PETANI DALAM PENGEMBANGAN USAHA TANI DI KABUPATEN PIDIE by Mujiburrahmad Mujiburrahmad, Akhmad Baihaqi, Ira Manyamsari

“…This research was carried out in the Dayah Syarief Village, Mutiara District, Pidie District. The sample in this study were all farmers who numbered 90 people. …”
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Barriers and facilitators to timely birth-dose vaccines in Kinshasa Province, the DRC: a qualitative study by Alix Boisson, Camille E. Morgan, Bruce Fried, Christopher M. Shea, Marcel Yotebieng, Patrick Ngimbi, Nana Mbonze, Kashamuka Mwandagalirwa, Pélagie Babakazo, Peyton Thompson

“… # Methods We conducted semi-structured interviews in seven health facilities across Kinshasa Province from June to July 2021. We purposefully sampled health facilities from the provinces' five most prominent facility types---private, public, Catholic, Protestant, and not-for-profit. …”
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Validation of the Chinese Patient Participation Scale (PPS-C) in Internal Medicine Patient: A Psychometric Study by Wang W, He H, Bao L, Wu M

“…While China increasingly recognizes the importance of patient participation in clinical decision-making, evidence-based interventions remain limited, partly due to the lack of validated measurement tools. …”
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Reasons for omitting anticoagulant treatment in patients with atrial fibrillation: an audit of patient records in general practice by Ina Grønkjaer Laugesen, Anna Mygind, Erik Lerkevang Grove, Flemming Bro

“…Results In a representative sample of patients with atrial fibrillation receiving no anticoagulant treatment (n = 166), the absence of treatment was based on clinical decisions explicitly noted in the patient records in 93.4% of cases. …”
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Matching-Adjusted Indirect Comparison of the Efficacy and Safety of Erdafitinib vs Enfortumab Vedotin in Patients with Locally Advanced Metastatic Urothelial Carcinoma by Suzy Van Sanden, Ayman Youssef, Simona Baculea, Keith Stubbs, Spyros Triantos, Zijiao Yuan, Caitlin Daly

“… # Methods An anchored MAIC was conducted according to the National Institute for Health and Care Excellence Decision Support Unit guidance, with physician’s choice of chemotherapy (docetaxel/paclitaxel and vinflunine) as the common comparator. …”
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Mesorectum volumetry in males with rectal cancer: Variabilities observed in pre- and post-neoadjuvant radiotherapy imaging by D. Lamprecht, K. Baatjes, W. Begg, H. Fourie, A. Alblas, L. Witbooi, T. Forgan

“…Therefore, the information obtained from a post-radiotherapy MRI prior to surgical intervention, can be a worthwhile addition to the available armamentarium for surgeons to guide surgical decision-making, encouraging the adoption of optimal individualized and novel treatment strategies to improve patient outcomes.…”
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Comparison of a machine learning model with a conventional rule-based selective dry cow therapy algorithm for detection of intramammary infections by S.M. Rowe, E. Zhang, S.M. Godden, A.K. Vasquez, D.V. Nydam

“…Machine learning (ML) algorithms evaluated were logistic regression, decision tree, random forest, light gradient-boosting machine, naive Bayes, and neural networks. …”
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Peatland pixel-level classification via multispectral, multiresolution and multisensor data using convolutional neural network by Luca Zelioli, Fahimeh Farahnakian, Maarit Middleton, Timo P. Pitkänen, Sakari Tuominen, Paavo Nevalainen, Jonne Pohjankukka, Jukka Heikkonen

“…Experimental results indicate classification accuracies for peatland site types and fertility levels ranging from 36.6% to 55.0%, highlighting the effectiveness of our approach even with limited labeled training samples. Canopy height models, Sentinel-2 bands, and Sentinel-1 bands emerged as the most influential data sources for accurate classification. …”
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Patterns of Clinical Trial Enrollment for Pediatric Patients With Hepatoblastoma and Wilms Tumor: A Report From the Children's Oncology Group by Pablo S. Monterroso, Sarah Lucht, Jeannette M. Sample, Angela D. Trobaugh‐Lotrario, Helen M. Parsons, Lucie M. Turcotte, David Van Riper, Jenny N. Poynter, Erin L. Marcotte

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Interpretable machine learning for precision cognitive aging by Abdoul Jalil Djiberou Mahamadou, Emma A. Rodrigues, Vasily Vakorin, Vasily Vakorin, Violaine Antoine, Sylvain Moreno, Sylvain Moreno

“…Explainable AI (XAI) has emerged to address this by enhancing transparency and trust in AI decision-making. However, a persistent gap exists between interpretability and performance, as black-box models, such as deep neural networks, often outperform white-box models, such as regression-based approaches. …”
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Machine learning analysis of survival outcomes in breast cancer patients treated with chemotherapy, hormone therapy, surgery, and radiotherapy by Eyachew Misganew Tegaw, Betelhem Bizuneh Asfaw

“…The dataset consisted of 5000 samples and turned into downloaded from Kaggle. The models assessed blanketed Support Vector Machines (SVM), K-Nearest Neighbor (KNN), AdaBoost, Gradient Boosting, Random Forest, Gaussian Naive Bayes, Logistic Regression, Extreme Gradient Boosting (XG boost), and Decision tree. …”
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Models and methods for analyzing complex networks and social network structures by Ju. P. Perova, V. P. Grigoriev, D. O. Zhukov

“…In addition, statistical methods are used to compile data samples and analyze obtained results.…”
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Health behavior and disease self-management indicators in patients with cardiovascular diseases using a health app: Findings from an RCT by Sonia Lippke, Luisa Korte, Vinayak Anand Kumar, Andreas Fach, Tiara Ratz

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Exploring machine learning algorithms for predicting fertility preferences among reproductive age women in Nigeria by Zinabu Bekele Tadese, Teshome Demis Nimani, Kusse Urmale Mare, Fetlework Gubena, Ismail Garba Wali, Jamilu Sani

“…Six machine learning algorithms, namely, Logistic Regression, Support Vector Machine, K-Nearest Neighbors, Decision Tree, Random Forest, and eXtreme Gradient Boosting, were employed on a total sample size of 37,581 in Python 3.9 version. …”
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Off-grid field-deployable molecular diagnostic platform for malaria surveillance by Madhavinadha Prasad Kona, Armel N. Tedjou, Mary Kefi, Francesco Buongiorno, Charles S. Wondji, George Dimopoulos

“…Its ability to provide rapid, on-site results reduces the need for centralized laboratory testing, facilitating timely decision-making in malaria control programs. Graphical Abstract…”
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An Evidence-Based IT Program With Chatbot to Support Caregiving and Clinical Care for People With Dementia: The CareHeroes Development and Usability Pilot by Nicole Ruggiano, Ellen Leslie Brown, Peter J Clarke, Vagelis Hristidis, Lisa Roberts, Carmen Victoria Framil Suarez, Sai Chaithra Allala, Shannon Hurley, Chrystine Kopcsik, Jane Daquin, Hamilton Chevez, Raymond Chang-Lau, Marc Agronin, David S Geldmacher

“… Abstract BackgroundThere are numerous communication barriers between family caregivers and providers of people living with dementia, which can pose challenges to caregiving and clinical decision-making. To address these barriers, a new web and mobile-enabled app, called CareHeroes, was developed, which promotes the collection and secured sharing of clinical information between caregivers and providers. …”
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