A comprehensive review of machine learning for heart disease prediction: challenges, trends, ethical considerations, and future directions by Raman Kumar, Raman Kumar, Sarvesh Garg, Rupinder Kaur, M. G. M. Johar, Sehijpal Singh, Sehijpal Singh, Soumya V. Menon, Pulkit Kumar, Pulkit Kumar, Ali Mohammed Hadi, Shams Abbass Hasson, Jasmina Lozanović

“…To systematically investigate this field, the literature is organized into five thematic categories such as “Heart Disease Detection and Diagnostics,” “Machine Learning Models and Algorithms for Healthcare,” “Feature Engineering and Optimization Techniques,” “Emerging Technologies in Healthcare,” and “Applications of AI Across Diseases and Conditions.” …”
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Development of Cardiac Computed Tomography for Evaluation of Aortic Valve Stenosis by Hiroyuki Takaoka, Haruka Sasaki, Joji Ota, Yoshitada Noguchi, Moe Matsumoto, Kazuki Yoshida, Katsuya Suzuki, Shuhei Aoki, Satomi Yashima, Makiko Kinoshita, Noriko Suzuki-Eguchi, Yoshio Kobayashi

“…This includes evaluating restricted AV opening and cardiac function using four-dimensional imaging, assessing AV annulus diameter and AS severity via calcium scoring with a novel motion correction algorithm, and detecting myocardial damage through late-phase contrast imaging using new reconstruction techniques. …”
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Exploration of Automated Measurement for Ossicular Chains Based on 3-Dimensional Geometric Information by Mengshi Zhang, Yufan Zhang, Sihui Guo, Xiaoguang Li, Li Zhuo, Yuxue Ren, Wei Chen, Yili Feng, Ruowei Tang, Han Lv, Pengfei Zhao, Zhenchang Wang, Hongxia Yin

“…No statistically significant differences were found in other parameters across different age groups, except for malleus and incus volumes (P = 0.015 and P = 0.031). The proposed algorithm effectively automated ossicular-chain segmentation and measurement, establishing a normative range for ossicular parameters and providing a valuable reference for detecting abnormalities.…”
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ANTI-TUBERCULOSIS TREATMENT IN PRESUMED OCULAR TUBERCULOSIS PATIENTS WITH GRANULOMATOSIS OCULAR PATHOLOGIES: SINGLE CENTER EXPERIENCE FROM TURKIYE by Tülin Çağatay, Zeki Kılıçaslan, Aylin Pıhtılı, Züleyha Bingöl, Merih Oray, Esen Kıyan, Nigar Gülfer Okumuş, Penbe Çağatay, Aysen Erer, Ayşe Yıldız Taş, İlknur Tuğal Tutkun

“…There is no common diagnostic/treatment algorithm even though new approaches exist.In this study, the results of the treatment of “presumed ocular tuberculosis patients” are evaluated. …”
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Efficient Deep Learning Models Revolutionize Doctor’s Training for Point-of-Care Ultrasound by Hsin-Hung Chou, Yi-Chung Chang, Wan-Ching Lien, Lung-Chun Lin, Xing-Zheng Lin, Ting-En Hsu, Yueh-Ping Liu, Li Liu, Yen-Ting Chan, Feng-Sen Kuan

“…This study aims to develop a deep learning (DL) model for detecting and localizing PCE and to investigate the learning efficacy of using this model as an adjunct in PoCUS training. …”
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Cost-effectiveness of FIT and a FIT-based model to optimise symptomatic diagnosis of colorectal cancer: health economic modelling for the COLOFIT project by Linda Sharp, Sarah Bailey, Colin Rees, Willie Hamilton, Dawn Craig, Joe West, David Humes, Gary Abel, James Turvill, Brian Nicholson, Chloe Thomas, Jim Chilcott, Colin Crooks, Olena Mandrik, John Whelpton

“…Introduction Fecal immunochemical testing (FIT) at a threshold of 10 mg haemaglobin (Hb)/g is used in English primary care to prioritise urgent referral for colorectal cancer (CRC) investigation in symptomatic patients. The COLOFIT algorithm, based on FIT score, age, sex and blood results, performs better than FIT alone for identifying CRC. …”
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Investigating the role of environmental factors in the French highly pathogenic avian influenza epizootic in 2022–2023 by Maryem Ben Salem, Mathieu Andraud, Stéphanie Bougeard, Virginie Allain, Morgane Salines, Rodolphe Thomas, Audrey Schmitz, Legrand Saint-Cyr, Karine Fiore, Sophie Le Bouquin, Axelle Scoizec

“…IntroductionThe recurring epizootics of highly pathogenic avian influenza (HPAI) in France have been associated with changes in the epidemiological landscape, such as higher frequency of detections in wild birds and introductions into backyard farms. …”
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A Multi-Head Attention-Based Lightweight Generative Adversarial Network for Thyroid Ultrasound Video Super-Resolution by Yuchen Ning, Xianshuang Meng, Lingxiao Zhou, Jun Liu, Shijie Qiu, Jingfang Wu, Xi Wei, Jun Ying, Siwei Zhu, Yantian Zhang

“…Thyroid cancer is a prevalent malignancy, highlighting the critical need for early detection of thyroid nodules. Despite ultrasound being the primary diagnostic modality, its limited resolution often hampers the accuracy of identifying malignant nodules. …”
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CSTFNet: A CNN and Dual Swin-Transformer Fusion Network for Remote Sensing Hyperspectral Data Fusion and Classification of Coastal Areas by Dekai Li, Harold Neira-Molina, Mengxing Huang, Syam M.S., Yu Zhang, Zhang Junfeng, Uzair Aslam Bhatti, Muhammad Asif, Nadia Sarhan, Emad Mahrous Awwad

“…Experiments conducted on four standard HSI datasets (Houston-2013, Samson, KSC, and Botswana) demonstrate that CSTFNet outperforms traditional and state-of-the-art algorithms, achieving overall classification accuracy exceeding 99% . …”
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Formation of myofаscial pain syndrome and its correction in patients with tension headache by A.V. Vesnin, O.L. Tovazhnianska

“…Purpose – to improve the algorithm for diagnosing and treating tension-type headache, taking into account the condition of the muscles of the body and face and adding an osteopathic method of therapy. …”
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Pretreatment HIV‐1 Drug Resistance Among Newly Diagnosed People in Eastern Ethiopia by Abdella Gemechu, Adane Mihret, Mesfin Mengesha, Dawit Hailu Alemayehu, Eleni Kidane, Abraham Aseffa, Rawleigh Howe, Berhanu Seyoum, Andargachew Mulu

“…According to the Stanford HIVDR algorithm, 21.7% of people had at least one drug associated PDR mutation, whereas CPR reported 14.5% DRMs. …”
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A comprehensive analysis identified an autophagy-related risk model for predicting recurrence and immunotherapy response in stage I lung adenocarcinoma by Hongmei Zheng, Songqing Fan, Hongjing Zang, Jiadi Luo, Long Shu, Jinwu Peng

“…Real-time PCR was used to detect gene expression of hub genes in LUAD patients. …”
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Combining Super-Resolution Imaging and Shear Wave Elastography for Enhanced Risk Assessment of Moderate-to-Severe Renal Fibrosis in Chronic Kidney Disease Patients by Huang X, Zhang Y, Hu Y, Pan J, Huang X, Zhang J, Pu H, Chen Y, Deng Q, Zhou Q

“…The integrated model, utilizing a logistic algorithm, demonstrated superior diagnostic performance with an area under the curve (AUC) of 0.83 (P < 0.001), sensitivity of 80.4%, and specificity of 75.8%, outperforming all other models. …”
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Qualitative changes in clinical records after implementation of pharmacist-led antimicrobial stewardship program: a text mining analysis by Keisuke Sawada, Shuji Kono, Ryo Inose, Yuichi Muraki

“…Co-occurrence relationships were assessed using Dice coefficients (threshold, ≥ 0.3), and communities were detected using the Louvain algorithm. Changes in documentation patterns were compared using Fisher’s exact test. …”
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Pengenalan Aktivitas Manusia Menggunakan Sensor Akselerometer dan Giroskop pada Smatphone dengan Metode K-Nearest Neighbor by Zainal Arifien, Fitra Abdurrahman Bachtiar, Novanto Yudistira

“…The data then processed and classified using the k-Nearest Neighbor (k-NN) algorithm. The accuracy results obtained in this study reaches 79.56%. …”
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THE PERCENTAGE AND STRUCTURE OF PERODONT TISSUE DISEASES IN PATIENTS OF LVIV REGIONAL STATIONARY CLINICAL HOSPITAL DEPENDING ON AGE by M. М. Shevchuk

“…To study the prevalence and structure of periodontal tissue lesions in patients with general - somatic diseases in order to develop a therapeutic algorithm in a hospital setting. Materials and methods. …”
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Differential expression of microRNAs and their target genes in cervical intraepithelial neoplasias of varying severity by T. A. Dimitriadi, D. V. Burtsev, E. A. Dzhenkova, D. S. Kutilin

“…Search for target genes was performed using the TarPmiR algorithm and the overrepresentation of microRNAs in signaling pathways (Over-Representation Analysis) was analyzed. …”
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Land cover classification using Land Parcel Identification System (LPIS) data and open source Eo-Learn library by Fatih Fehmi Şimşek, Süleyman Savaş Durduran

“…These data play an important role as a base for determining land cover and land use classes, detecting changes, monitoring forest, agriculture and wetlands, as well as updating the LPIS data used by countries. …”
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COMPARATIVE CLINICAL CHARACTERISTICS OF PATIENTS WITH VARIOUS FORMS OF PULMONARY ARTERIAL HYPERTENSION ASSOCIATED WITH CONGENITAL HEART DISEASE, ACCORDING TO THE CLINICAL CLASSIFIC... by S. E. Gratsianskaya, T. V. Martynyuk

“…The diagnosis was established by the algorithm proposed in the Russian guidelines for the diagnosis and treatment of PH (2016).Results: The patients of three subgroups of PAH-CHD were comparable in age and sex. …”
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Effect of Achieving Sustained SDAI Remission on Erosion Healing in Early Rheumatoid Arthritis - A One-year Prospective HR-pQCT Study by Qihan Wu, Ho So, Tsz-Ho Cheng, Yingzhao Jin, Sze-Lok Lau, Lai-shan Tam

“…Methods Patients with ERA were recruited and treated to the target of simple disease activity index (SDAI) remission using a standardized algorithm. One hundred patients who received the one-year tight-control treatment were grouped by achieving SDAI sustained LDA [SDAI [Formula: see text] at 6, 9 and 12 months (sLDA group) or not (non-sLDA group). …”
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