Rapid inference of antibiotic susceptibility phenotype of uropathogens using metagenomic sequencing with neighbor typing by Amanda C. Carroll, Leanne Mortimer, Hiren Ghosh, Sandra Reuter, Hajo Grundmann, Karel Brinda, William P. Hanage, Angel Li, Aimee Paterson, Andrew Purssell, Ashley Rooney, Noelle R. Yee, Bryan Coburn, Shola Able-Thomas, Martin Antonio, Allison McGeer, Derek R. MacFadden

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AI-based pelvic floor surface electromyography reference ranges and high-precision pelvic floor dysfunction diagnosisResearch in context by Juan Chen, Jiahui Yao, Wei Chen, Feng Zhang, Heyuan Wang, Xiaoying Xu, Huan Ge, Hongmei Zhou, Jin Cen, Dan Li, Bengui Jiang, Li He, Tingting Fu, Zhengxian Xu, Lei Chu, Shuxia Zhang, Dongmei Yao, Linyi Wei, Liu Huang, Anjing Ge, Cuiping Jin, Zimu Fu, Qin Liu, Xuefeng Yu, Chengmao Zhao, Tengjiao Wang, Lan Zhu

“…Based on the database, we developed an AI-Diagnostician-PFD diagnostic model, which leverages AI to derive AI-Reference ranges for sEMG parameters and diagnose PFDs. …”
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Enhancing the prediction of vitamin D deficiency levels using an integrated approach of deep learning and evolutionary computing by Ahmed Alzahrani, Muhammad Zubair Asghar

“…Our approach yielded improved performance, when compared to earlier methods. This research not only push forward predictive healthcare models but also shows the potential of merging deep learning with evolutionary computing to address intricate health-care issues.…”
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AI-Powered IoMT Framework for Remote Triage and Diagnosis in Telemedicine Applications by Sura Saad Mohsin, Omar H. Salman, Abdulrahman Ahmed Jasim, Hajer Alwindawi, Zahraa A. Abdalkareem, Omar Sadeq Salman, Ammar Riadh Kairaldeen

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An integrative scoring approach for prioritization of rare autism spectrum disorder candidate variants from whole exome sequencing data by Apurba Shil, Noa Arava, Noam Levi, Liron Levine, Hava Golan, Gal Meiri, Analya Michaelovski, Yair Tsadaka, Adi Aran, Idan Menashe

“…To this end, we developed AutScore, an integrative prioritization algorithm of ASD candidate variants from WES data and assessed its performance to detect clinically relevant variants. …”
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Genome-wide profiling of circulating microRNAs in adolescent idiopathic scoliosis and their relation to spinal deformity severity, and disease pathophysiology by Nasrin Khatami, Iurie Caraus, Mahamuda Rahaman, Evguenia Nepotchatykh, Mohamed Elbakry, Wesam Elremaly, Anita Franco, Marie Beauséjour, Anne-Marie Laberge, Stefan Parent, Hubert Labelle, Carl-Éric Aubin, Jean Lachaine, Alain Moreau

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Serum metabolic fingerprints encode functional biomarkers for ovarian cancer diagnosis: a large-scale cohort studyResearch in context by Wanshan Liu, Xiaoxiao Hu, Zhouzhou Bao, Yanyan Li, Juxiang Zhang, Shouzhi Yang, Yida Huang, Ruimin Wang, Jiao Wu, Xiaoyu Xu, Qi Sang, Wen Di, Huaiwu Lu, Xia Yin, Kun Qian

“…This panel achieved consistent areas under the curve (AUCs) of 0.87–0.89 for distinguishing between malignant and benign ovarian masses across all cohorts, and improved to AUCs of 0.95–0.99 when combined with risk of ovarian malignancy algorithm (ROMA). In vitro validation provided initial biological context for the metabolic alterations observed in our diagnostic panel. …”
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Enhanced brain tumor diagnosis using combined deep learning models and weight selection technique by Karim Gasmi, Najib Ben Aoun, Najib Ben Aoun, Khalaf Alsalem, Ibtihel Ben Ltaifa, Ibrahim Alrashdi, Lassaad Ben Ammar, Manel Mrabet, Abdulaziz Shehab

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Identification of immune-associated biomarkers in diagnosing allergic rhinitis by Qi Cheng, PhD, Jie Fei, MS, Yuanfen Liao, MS, Hang Lin, MD, Yubao Cui, PhD

“…Additionally, 5 machine-learning algorithms were integrated to screen for novel diagnostic biomarkers for AR. …”
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Evaluation of deep learning and convolutional neural network algorithms accuracy for detecting and predicting anatomical landmarks on 2D lateral cephalometric images: A systematic... by Jimmy Londono, Shohreh Ghasemi, Altaf Hussain Shah, Amir Fahimipour, Niloofar Ghadimi, Sara Hashemi, Zohaib Khurshid, Mahmood Dashti

“…The meta-analysis followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines for selecting and screening research articles. The eligibility criteria were established based on the diagnostic accuracy and prediction of ML combined with 2D lateral cephalometric imagery. …”
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Artificial Intelligence-Assisted Segmentation of a Falx Cerebri Calcification on Cone-Beam Computed Tomography: A Case Report by Julien Issa, Alexandre Chidiac, Paul Mozdziak, Bartosz Kempisty, Barbara Dorocka-Bobkowska, Katarzyna Mehr, Marta Dyszkiewicz-Konwińska

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Research on fault diagnosis of amorphous alloy transformers by using vibration signals and a PSO-optimized full-process WPT-SVM model by Daosheng Liu, Wentao Yang, Longsheng Liu, Zhe Zhao

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Monitoring of the state of electromagnetic fuel injectors of gasoline engines with distributed fuel injection systems by G. N. Votinov, D. V. Maltsev, D. S. Repetsky

“…There is a successful experience of implementing such algorithms on modern cars. The implementation of the research results will allow timely detection of faulty (contaminated) electromagnetic injectors and prevent negative effects on both engine parts and the environment.…”
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Artificial intelligence: basic terms and concepts, the application in healthcare and clinical medicine by A. I. Lamotkin, D. I. Korabelnikov, I. A. Lamotkin

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Design, Development and Implementation of iALERTS (Informatics Analytics for Long-term Evaluation and Repercussions Tracking of SARS-CoV-2 Infection): A Research Protocol by Krishna Mohan Surapaneni, Manmohan Singhal, Ashish Joshi

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THE USE OF NEURAL NETWORKS FOR THE AUTOMATIC ANALYSIS OF ELECTROCARDIOGRAMS IN DIAGNOSIS OF CARDIOVASCULAR DISEASES by G. I. Kachayeva, A. G. Mustafayev

“…While the accuracy of cardiological diagnosis has significantly increased in recent years due to the wide application of both instrumental and laboratory research methods, the percentage of diagnostic errors in cardiology remains high. …”
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CONTRIBUTION OF T.D. ZYRYANOVA TO THE STUDY OF THE PROBLEM OF PELVIC BONES INJURIES AND ASSOCIATED COMPLICATIONS by Z. V. Koshkareva, V. A. Sorokovikov, M. A. Makarova

“…Zyryanova studied and systematized problems on the statistics of this incapacitating pathology, its clinic and diagnostics. She determined indications for conservative and surgical treatment of certain pelvic bones and pelvic waist injury and an algorithm of rehabilitation measures after the treatment. …”
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New Comprehensive Clinical Classification of Dry Eye Syndrome Severity 2024. Part 1 by A. V. Trubilin, V. N. Trubilin, E. G. Poluninа, E. A. Kasparova

“…The above indicators allow to differentiate the severity of dry eye syndrome, which is of fundamental importance for choosing treatment methods and the volume of drug therapy, and assessing its effectiveness in dynamics. The developed diagnostic algorithm does not require special skills when carried out by a doctor, so it can be recommended for its use in wide ophthalmological practice.…”
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Deep Learning Techniques for Early Fault Detection in Bearings: An Intelligent Approach by Omar Mohammed Amin Ali, Rebin Abdulkareem Hamaamin, Shahab Wahhab Kareem

“…This article describes current deep learning research using the CWRU bearing dataset to diagnose machinery faults precisely. …”
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Development and validation of a model to identify polycystic ovary syndrome in the French national administrative health database by Eugénie Micolon, Sandrine Loubiere, Appoline Zimmermann, Julie Berbis, Pascal Auquier, Blandine Courbiere

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