Automating Colon Polyp Classification in Digital Pathology by Evaluation of a “Machine Learning as a Service” AI Model: Algorithm Development and Validation Study by David Beyer, Evan Delancey, Logan McLeod

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Diabetes Detection Models in Mexican Patients by Combining Machine Learning Algorithms and Feature Selection Techniques for Clinical and Paraclinical Attributes: A Comparative Eval... by Antonio García-Domínguez, Carlos E. Galván-Tejada, Rafael Magallanes-Quintanar, Hamurabi Gamboa-Rosales, Irma González Curiel, Jesús Peralta-Romero, Miguel Cruz

“…This research presents a comprehensive investigation into diabetes detection models by integrating two feature selection techniques: the Akaike information criterion and genetic algorithms. …”
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An online clustering algorithm predicting model for prostate cancer based on PHI-related variables and PI-RADS in different PSA populations by Jiyuan Hu, Qi Miao, Jiayi Ren, Hongbo Su, Xianlu Zhang, Jianbin Bi, Gejun Zhang

“…Some researches have created nomograms for predicting risk, but these are not easily visualized. …”
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Development and validation of identification algorithms for five autoimmune diseases using electronic health records: a retrospective cohort study in China by Junting Yang, Junting Yang, Yunxiao Wu, Yunxiao Wu, Jinxin Guo, Jinxin Guo, Xiaoxuan Wang, Xiaoxuan Wang, Xin Gao, Xin Gao, Xin Chen, Xin Chen, Mengdi Zhang, Mengdi Zhang, Jin Yang, Zuojing Liu, Yan Liu, Zhike Liu, Zhike Liu, Siyan Zhan, Siyan Zhan, Siyan Zhan, Siyan Zhan

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Integrated diagnostics and time series sensitivity assessment for growth monitoring of a medicinal plant (Glycyrrhiza uralensis Fisch.) based on unmanned aerial vehicle multispectr... by Ao Zhang, Haibin Guan, Zhiheng Dong, Xin Jia, Yan Xue, Fengyu Han, Lingjiang Meng, Xiuling Yu, Xiaoqin Wang, Yang Cao

“…Further analysis revealed that PH served as the central predictor, achieving R² = 0.74 under standalone predictions of RF algorithm, whereas other parameters primarily enhanced model accuracy through complementarity effects, thereby providing supplementary diagnostic value.ConclusionsThis research established a high-precision, time-efficient, and practical UAV remote sensing–based method for growth monitoring and yield prediction in G. uralensis, offering a novel solution for standardized production of medicinal plant resources.…”
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A novel frequency-domain approach to the range migration algorithm for efficient medical image processing: Application in tumor detection and identification by Jaouad El Gueri, Ibtisam Amdaouch, Badiaa Ait Ahmed, Juan Ruiz-Alzola, Otman Aghzout

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Validation of chronic obstructive pulmonary disease recording in the Clinical Practice Research Datalink (CPRD-GOLD) by John R Hurst, Jennifer K Quint, Hana Müllerova, Liam Smeeth, Harriet Forbes, Susan Eaton, Rachael L DiSantostefano, Kourtney Davis

“…Algorithms without specific diagnostic codes had low PPVs (range 12.2–44.4%).Conclusions Patients with COPD can be accurately identified from UK primary care records using specific diagnostic codes. …”
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Russian Cross-disciplinary Consensus on the diagnosis and treatment of spondyloarthritis associated with inflammatory bowel diseases by Galina V. Lukina, Oleg V. Knyazev, Elena A. Belousova, Diana I. Abdulganieva, Elena N. Aleksandrova, Igor G. Bakulin, Olga I. Barysheva, Maria А. Borisova, Bella А. Vykova, Alla А. Godzenko, Irina V. Gubonina, Tatiana V. Dubinina, Tatiana N. Zhigalova, Evgeny V. Zhilyaev, Anna V. Kagramanova, Tatiana V. Korotaeva, Alexander V. Kuzin, Maria A. Livzan, Aleksander M. Lila, Vadim I. Mazurov, Evgeny L. Nasonov, Alexander A. Novikov, Marina F. Osipenko, Asfold I. Parfenov, Larisa V. Tarasova, Olga V. Khlynova, Marina V. Shapina, Oksana B. Shchukina, Shandor F. Erdes, Aleksei A. Iakovlev

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Diagnostic Accuracy of <i>Mycobacterium tuberculosis</i> Antigen-Based Skin Tests (TBSTs) for Tuberculosis Infection Compared with TST and IGRA: A Network Meta-Analysis by Li Peng, Weijie Ma, Lei Zhong, Jiaru Yang, Hanxin Wu, Liangyu Zhu, Xun Huang, Rui Yang, Bingxue Li, Weijiang Ma, Xinya Wu, Jieqin Song, Suyi Luo, Fukai Bao, Aihua Liu

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Dynamic Eccentricity Modelingof a Switched Reluctance Motor by Jakub LORENCKI, Adrian CHMIELEWSKI

“…This study investigates the impact of rotor dynamic eccentricity on the motor's current signal. Our research introduces a straightforward diagnostic method to detect and quantify dynamic eccentricity by analyzing the current signal spectrum. …”
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Epidemiological and clinical aspects of syphilis incidence in the Russian Federation and the Republic of Uzbekistan: comparative analysis by Margarita R. Rakhmatulina, Delya F. Porsokhonova, Elena Yu. Novoselova, Avaz Sh. Inoyatov

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Prototype System for Supporting Medical Diagnosis Based on Voice Interviewing by Artur Samojluk, Piotr Artiemjew

“…The solution presented in this paper is part of a broader research project to develop a Medical Interview system, and this paper is the first article in a series that describes the experiences and challenges of implementing this system. …”
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Selection of memory clinic patients for CSF biomarker assessment can be restricted to a quarter of cases by using computerized decision support, without compromising diagnostic acc... by Hanneke F M Rhodius-Meester, Ingrid S van Maurik, Juha Koikkalainen, Antti Tolonen, Kristian S Frederiksen, Steen G Hasselbalch, Hilkka Soininen, Sanna-Kaisa Herukka, Anne M Remes, Charlotte E Teunissen, Frederik Barkhof, Yolande A L Pijnenburg, Philip Scheltens, Jyrki Lötjönen, Wiesje M van der Flier

“…<h4>Introduction</h4>An accurate and timely diagnosis for Alzheimer's disease (AD) is important, both for care and research. The current diagnostic criteria allow the use of CSF biomarkers to provide pathophysiological support for the diagnosis of AD. …”
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Performance of Machine Learning Classifiers for Diabetes Prediction by Mijala Manandhar, Shaikat Baidya, Babalpreet Kaur, Katia Atoji

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Predictive modeling of graves’ orbitopathy activity based on meibomian glands analysis using in vivo confocal microscopy by Zixuan Su, Yayan You, Shengnan Cheng, Jiahui Huang, Xueqing Liang, Xinghua Wang, Fagang Jiang

“…Results A total of 45 GO patients, corresponding to 90 eyes, were included in this study. A Lasso regression algorithm was utilized to select the predictor variables. …”
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M&M: an RNA-seq based pan-cancer classifier for paediatric tumoursResearch in context by Fleur S.A. Wallis, John L. Baker-Hernandez, Marc van Tuil, Claudia van Hamersveld, Marco J. Koudijs, Eugène T.P. Verwiel, Alex Janse, Laura S. Hiemcke-Jiwa, Ronald R. de Krijger, Mariëtte E.G. Kranendonk, Marijn A. Vermeulen, Pieter Wesseling, Uta E. Flucke, Valérie de Haas, Maaike Luesink, Eelco W. Hoving, Josef H. Vormoor, Max M. van Noesel, Jayne Y. Hehir-Kwa, Bastiaan B.J. Tops, Patrick Kemmeren, Lennart A. Kester

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Machine learning applications in placenta accreta spectrum disorders by Mahsa Danaei, Maryam Yeganegi, Sepideh Azizi, Fatemeh Jayervand, Seyedeh Elham Shams, Mohammad Hossein Sharifi, Reza Bahrami, Ali Masoudi, Amirhossein Shahbazi, Amirmasoud Shiri, Heewa Rashnavadi, Kazem Aghili, Hossein Neamatzadeh

“…It highlights recent advancements in ML algorithms and radiomic techniques that utilize medical imaging modalities like magnetic resonance imaging (MRI) and ultrasound for effective classification and risk stratification of PAS. …”
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Development of cohort definitions and algorithms to identify patients with Lennox-Gastaut syndrome or Dravet syndrome from real-world administrative healthcare databases by Drishti Shah, Victoria Divino, Justin Chen, Arturo Benitez, Jeannine Roth, J. Scott Andrews

“…Objective: To develop cohort definitions and algorithms that can be applied to a range of real-world retrospective data sources in the United States, France, Germany, Italy, Spain, United Kingdom, China, and Japan to identify patients with Lennox-Gastaut syndrome (LGS) or Dravet syndrome (DS) to aid future research. …”
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Research on implementation of interventions in tuberculosis control in low- and middle-income countries: a systematic review. by Frank Cobelens, Sanne van Kampen, Eleanor Ochodo, Rifat Atun, Christian Lienhardt

“…These include isoniazid preventive therapy (IPT) for HIV-infected individuals and household contacts of infectious TB patients, diagnostic algorithms for rule-in or rule-out of smear-negative pulmonary TB, and programmatic treatment for multidrug-resistant TB. …”
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Validation of a deep learning–based AI system for HER2-targeted breast cancer assessment using ultrasound imaging in a clinical setting by Kathryn Malherbe

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