A Unmanned Aerial Vehicle-Based Image Information Acquisition Technique for the Middle and Lower Sections of Rice Plants and a Predictive Algorithm Model for Pest and Disease Detec... by Xiaoyan Guo, Yuanzhen Ou, Konghong Deng, Xiaolong Fan, Ruitao Gao, Zhiyan Zhou

“…In addition, 1496 disease images and autonomous data sets were collected to verify that the system showed good stability and practicability in field environment.…”
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NORDIC denoising on VASO data by Lasse Knudsen, Lasse Knudsen, Luca Vizioli, Federico De Martino, Lonike K. Faes, Daniel A. Handwerker, Steen Moeller, Peter A. Bandettini, Peter A. Bandettini, Laurentius Huber

“…We present a preliminary analysis to evaluate NORDIC’s capability to suppress thermal noise while preserving the VASO signal across a wide parameter space at 3T. For the data presented here, with a proper set of parameters, NORDIC reduced thermal noise with minimal bias on the underlying signal and preserved spatial resolution. …”
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Determination of Anomaly Source Border Using Reweighting Focusing Inversion of Two-Dimensional Gravity Horizontal Gradient Data and Conventional Edge Detection Methods (Case Study:... by Mahsa Kabiri, Zohreh Sadat Riazi Rad

“…In the present study, a linear reweighting focusing inversion method has been used to detect the vertical edges of a subsurface mass using gravity horizontal gradient data. …”
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Application of the Variable Precision Rough Sets Model to Estimate the Outlier Probability of Each Element by Francisco Maciá Pérez, Jose Vicente Berna Martienz, Alberto Fernández Oliva, Miguel Abreu Ortega

“…In a data mining process, outlier detection aims to use the high marginality of these elements to identify them by measuring their degree of deviation from representative patterns, thereby yielding relevant knowledge. …”
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Intracranial stenosis prediction using a small set of risk factors in the Tromsø Study by Luca Bernecker, Liv-Hege Johnsen, Torgil Riise Vangberg

“…While in the medical research community, the issue of low prevalence is established, machine learning-based research in medicine often does not take into account a critical viewpoint of the prevalence in clinical settings of their methods. We showed that with a balanced training/test set an accuracy up to 81% was achievable, while with the inclusion of prevalence, the positive predictive value was at 19% to the prevalence data, changes the performance metrics. …”
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Accounting and Financial Management Cost Accounting Integrating Rough Set Knowledge Recognition Algorithm by Xiaoli Liu

“…The main difference between rough set theory and some methods of uncertainty theory, such as probabilistic data mining, fuzzy set theory, and evidence-based data mining, is that they do not require any prior knowledge beyond the data set being processed. …”
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Prediction models for prostate cancer to be used in the primary care setting: a systematic review by Artitaya Lophatananon, Mohammad Aladwani, William Ollier, Kenneth Muir

“…The quality of the studies and risk of bias was assessed by using the Prediction model Risk Of Bias ASsessment Tool (PROBAST).Data extraction and synthesis Relevant information extracted for each model included: the year of publication, source of data, type of model, number of patients, country, age, PSA range, mean/median PSA, other variables included in the model, number of biopsy cores to assess outcomes, study endpoint(s), cancer detection, model validation and model performance.Results An initial search yielded 109 potential studies, of which five met the set criteria. …”
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Continuous patient monitoring with AI: real-time analysis of video in hospital care settings by Paolo Gabriel, Peter Rehani, Tyler Troy, Tiffany Wyatt, Michael Choma, Narinder Singh

“…IntroductionThis study introduces an AI-driven platform for continuous and passive patient monitoring in hospital settings, developed by LookDeep Health. Leveraging advanced computer vision, the platform provides real-time insights into patient behavior and interactions through video analysis, securely storing inference results in the cloud for retrospective evaluation.MethodsThe AI system detects key components in hospital rooms, including individuals' presence and roles, furniture location, motion magnitude, and boundary crossings. …”
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Fully Automated Photoplethysmography-Based Wearable Atrial Fibrillation Screening in a Hospital Setting by Khaled Abdelhamid, Pamela Reissenberger, Diana Piper, Nicole Koenig, Bianca Hoelz, Julia Schlaepfer, Simone Gysler, Helena McCullough, Sebastian Ramin-Wright, Anna-Lena Gabathuler, Jahnvi Khandpur, Milene Meier, Jens Eckstein

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Clinical Presentation, Aetiology, and Outcomes of Meningitis in a Setting of High HIV and TB Prevalence by Keneuoe Hycianth Thinyane, Keanole Mofona Motsemme, Varsay Jim Lahai Cooper

“…In conclusion, the causes of meningitis in this study reflect the high prevalence of HIV and TB in our setting. Strategies to reduce morbidity and mortality due to meningitis should include improving diagnostic services to facilitate early detection and treatment of meningitis and timely initiation of antiretroviral therapy in HIV-infected patients.…”
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Subclinical Plasmodium spp. Infections in a Community Setting in Bangui, Central African Republic by Nzoumbou-Boko R, Denissio Morissi Nalingbo MCI, Yambiyo BM, Detol R, Moussa ERF, Nalinga D, Namsenei-Dankpea LJVDLG, Manirakiza A, Ayong L, Boum II Y

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Diagnostic yield of 1000 trio analyses with exome and genome sequencing in a clinical setting by Helena Malmgren, Helena Malmgren, Malin Kvarnung, Malin Kvarnung, Peter Gustafsson, Peter Gustafsson, Britt-Marie Anderlid, Britt-Marie Anderlid, Cecilia Arthur, Cecilia Arthur, Jonas Carlsten, Jonas Carlsten, Karl De Geer, Karl De Geer, Emma Ehn, Emma Ehn, Giedre Grigelioniené, Giedre Grigelioniené, Anna Hammarsjö, Anna Hammarsjö, Hafdis T. Helgadottir, Hafdis T. Helgadottir, Maritta Hellström-Pigg, Maritta Hellström-Pigg, Erik Iwarsson, Erik Iwarsson, Ekaterina Kuchinskaya, Ekaterina Kuchinskaya, Hillevi Lindelöf, Hillevi Lindelöf, Maria Mannila, Maria Mannila, Daniel Nilsson, Daniel Nilsson, Maria Pettersson, Maria Pettersson, Eva Rudd, Eva Rudd, Ellika Sahlin, Ellika Sahlin, Bianca Tesi, Bianca Tesi, Emma Tham, Emma Tham, Håkan Thonberg, Håkan Thonberg, Eini Westenius, Eini Westenius, Johanna Winberg, Johanna Winberg, Max Winerdal, Max Winerdal, Magnus Nordenskjöld, Magnus Nordenskjöld, Maria Johansson-Soller, Maria Johansson-Soller, Valtteri Wirta, Valtteri Wirta, Ann Nordgren, Ann Nordgren, Anna Lindstrand, Anna Lindstrand, Kristina Lagerstedt-Robinson, Kristina Lagerstedt-Robinson

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Improving the Accuracy of mmWave Radar for Ethical Patient Monitoring in Mental Health Settings by Colm Dowling, Hadi Larijani, Mike Mannion, Matt Marais, Simon Black

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Dynamic margin contrastive learning for open-set recognition in long-tailed sonar imagery by Yu Lin, Shuiyuan He, Weidong Luo

“…These results validate DMCL’s effectiveness in handling both long-tail distribution and open-set recognition challenges in sonar image classification, offering potential applications in similar domains requiring robust classification under data imbalance and unknown class scenarios. …”
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Symptom networks of common mental disorders in public versus private healthcare settings in India by Cemile Ceren Sönmez, Helen Verdeli, Matteo Malgaroli, Jaime Delgadillo, Bryan Keller

“…Yet, the diagnostic boundaries and the characteristics of their dynamically intertwined symptom constellations remain obscure, particularly in non-Western settings. Regularized partial correlation networks were estimated and the diagnostic boundaries were explored using community detection analysis. …”
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Adapting foundation models for rapid clinical response: intracerebral hemorrhage segmentation in emergency settings by Alessia Gerbasi, Federico Mazzacane, Federica Ferrari, Beatrice Del Bello, Anna Cavallini, Riccardo Bellazzi, Silvana Quaglini

“…Hemorrhagic lesions’ segmentation on CT scans is a necessary first step for acquiring quantitative imaging data that are becoming increasingly useful in the clinical setting. …”
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Enhanced medical image segmentation using novel level set evolution and efficient optimization by Samad Wali, Adil Jhangeer, Ariana Abdul Rahimzai, Samina Samina, Mudassar Imran

“…Experimental findings show that the model successfully detects boundaries of objects within noisy and blurred visual data. …”
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The need for guardrails with large language models in pharmacovigilance and other medical safety critical settings by Joe B. Hakim, Jeffery L. Painter, Darmendra Ramcharran, Vijay Kara, Greg Powell, Paulina Sobczak, Chiho Sato, Andrew Bate, Andrew Beam

“…These guardrails include mechanisms to detect anomalous documents to prevent the ingestion of inappropriate data, identify incorrect drug names or adverse event terms, and convey uncertainty in generated content. …”
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Silent spread of pathogens in hospital settings: a one-week molecular epidemiologic study by Elif S Tanriverdi, Yusuf Yakupogullari, Deste Ceylan, Yucel Duman, Baris Otlu

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Mini- FLOTAC Technique as a Diagnostic Tool for Intestinal Parasitosis in Low Intensity Settings by Amany I. Shehata, Sally A. Ezzat, Amel A. El-Sahn, Safaa M. Eassa

“…Conclusion: Mini-FLOTAC is a good alternative for IPIs diagnosis especially in low intensity settings and in limited resources settings.…”