Prediction of Pt, Ir, Ru, and Rh complexes light absorption in the therapeutic window for phototherapy using machine learning by V. Vigna, T. F. G. G. Cova, A. A. C. C. Pais, E. Sicilia

“…The method also allows to change relevant structural characteristics of a base molecule using information from the supervised approach. …”
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The role of artificial intelligence in breast cancer screening as a supportive tool for radiologists by Agata Król, Katarzyna Kwaterska, Karol Kutyłowski, Paweł Łuckiewicz

“…Future AI systems should take into account all relevant patients’ data for better assessment of the examination. …”
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Intelligent fault diagnosis of shearer based on simplified interval kernel global-local feature fusion by Ning LI, Hua DING, Xiaochun SUN, Zeping LIU, Guoshu PU

“…The results show that compared with the midpoint-radius kernel PCA, the kernel local preservation projection and interval kernel global-local feature fusion algorithms, the proposed method has a good monitoring effect on the single variable simulation fault, the multi-variable pick loss and the waterway blockage fault of shearers. …”
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The growth of computer-assisted (robotic) surgery in urology 2000–2014: The role of Asian surgeons by Deepansh Dalela, Rajesh Ahlawat, Akshay Sood, Wooju Jeong, Mahendra Bhandari, Mani Menon

“…Methods: PubMed/Medline and Scopus databases were searched for publications from 2000 through June 2014, using algorithms based on keywords “robotic surgery”, ”prostate”, “kidney”, “adrenal”, “bladder”, “reconstruction”, and “kidney transplant”. …”
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Methods of evaluation the quality of teaching in higher education institutions by Irina V. Barannikova, Elena N. Shaforostova

“…A method of assessing the quality of education at universities, based on the criteria of quality of education, the method of expert evaluation, formalization and algorithmization of the process is proposed. The generalized assessment of the group of experts is formed on the basis of average values. …”
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Social Media and Men’s Health: Separating Science from Speculation in Andrology by Michael George, Vaibhav Modgil, Ian Pearce, Theodora Stasinou

“…Amongst posts, there has been a shift towards highly engaging short-form video content, which is particularly popular with young adults. Social media algorithms reinforce consumption patterns by continuously delivering content based on user engagement: the more an individual interacts with a topic or creator, the more related content appears, creating a self-sustaining feedback loop; this principle underpins the concept of virality and risks the rapid dissemination of inaccuracies online. …”
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Utilizing machine learning models for predicting outcomes in acute pancreatitis: development and validation in three retrospective cohorts by Kaier Gu, Yang Liu

“…In the training set, key variables were screened using univariate logistic regression and the LASSO method. Six ML algorithms were employed to construct predictive models. …”
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Uncovering active ingredients and mechanisms of Pholiota adiposa in the treatment of Alzheimer’s disease based on network pharmacology and bioinformatics by Ma Xiaoying, Huo Zhiming, Shi Mingwen, Wang Hong, Yang Tao, Xiao Jun, Gong Na

“…LASSO regression and random forest algorithms were applied for target model selection, and molecular dynamics simulations were run with Gromacs2022.3. …”
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The Prediction of Venous Thromboembolism Using Artificial Intelligence and Machine Learning in Lower Extremity Arthroplasty: A Systematic Review by Davood Dalil, MD, Sina Esmaeili, Ehsan Safaee, Sajad Asgari, Nooshin Kejani, MD

“…Databases including PubMed, Scopus, Web of Science, and Embase were searched for relevant studies published up to January 2024. Eligible studies focused on the predictive accuracy of AI algorithms for VTE post arthroplasty and were assessed for quality using the Newcastle-Ottawa Scale. …”
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A Reproducible Method for Donor Site Computed Tomography Measurements in Abdominally Based Autologous Breast Reconstruction by Damini Tandon, MD, Arthur Sletten, MD, PhD, Austin Ha, MD, Gary B. Skolnick, BA, MBA, Paul Commean, BEE, Terence Myckatyn, MD

“…We present an approach for evaluating abdominal computed tomography (CT) scans that generates reproducible measures relevant to donor site morbidity after abdominally based breast reconstruction. …”
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Data stewardship and curation practices in AI-based genomics and automated microscopy image analysis for high-throughput screening studies: promoting robust and ethical AI applicat... by Asefa Adimasu Taddese, Assefa Chekole Addis, Bjorn T. Tam

“…The study also examined specific AI considerations, such as algorithmic bias, model explainability, and the application of advanced cryptographic techniques. …”
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A Data-Driven Approach to Assessing Hepatitis B Mother-to-Child Transmission Risk Prediction Model: Machine Learning Perspective by Dung Nguyen Tien, Huong Thi Thu Bui, Tram Hoang Thi Ngoc, Thuy Thi Pham, Dac Trung Nguyen, Huyen Nguyen Thi Thu, Thi Thu Hang Vu, Thi Lan Anh Luong, Lan Thu Hoang, Ho Cam Tu, Nina Körber, Tanja Bauer, Lam Khanh Ho

“…MethodsThis study used decision tree algorithms—ID3 and CART—on a data set of 60 hepatitis B surface antigen (HBsAg)–positive pregnant women. …”
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Diagnostic accuracy of artificial intelligence for the screening of prostate cancer in biparametric magnetic resonance imaging: a systematic review by Oksana V. Kryuchkova, Elena V. Schepkina, Natalia A. Rubtsova, Boris Y. Alekseev, Anton I. Kuznetsov, Svetlana V. Epifanova, Elena V. Zarya, Ali E. Talyshinskii

“…Two authors independently assessed the relevant studies for potential inclusion or exclusion. …”
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Automatic magnetic resonance imaging series labelling for large repositories by Armando Gomis-Maya, Leonor Cerdá-Alberich, Diana Veiga-Canuto, Salvatore Claudio-Fanni, Amadeo Ten-Steve, Gloria Ribas-Despuig, Pedro José Mallol-Roselló, Joan Vila-Frances, Luis Marti-Bonmati

“…These results open the door to the automatic application of image post-processing and deep learning algorithms after accurate labeling, minimizing human intervention. …”
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Development of a machine learning-derived dendritic cell signature for prognostic stratification in lung adenocarcinoma by Fang Zhou, Fang Zhou, Meng Wang, Meng Wang, Zheng Wang, Zheng Wang, Wei Li, Wei Li, Xike Lu, Xike Lu

“…A dendritic cell-related signature (DCRS) was constructed using multiple machine learning algorithms (Lasso-Cox, RSF, CoxBoost, Stepwise-Cox), and its prognostic performance was validated in seven external cohorts. …”
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Leveraging environmental microbial indicators in wastewater for data-driven disease diagnostics by Gayatri Gogoi, Gayatri Gogoi, Sarangthem Dinamani Singh, Sarangthem Dinamani Singh, Devpratim Koch, Devpratim Koch, Emon Kalyan, Rashmi Rani Boro, Aradhana Devi, Hridoy Jyoti Mahanta, Hridoy Jyoti Mahanta, Pankaj Bharali, Pankaj Bharali

“…After data preprocessing, correlation analyses identified 19 relevant environmental parameters. Unsupervised learning algorithms, including K-means and K-medoid clustering, were employed to categorize the data into four distinct clusters, revealing patterns of viral positivity and environmental conditions.ResultsCluster analysis indicated that seasonal variations and water quality characteristics significantly influenced SARS-CoV-2 positivity rates. …”
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Visual impairments associated with the treatment of malignant tumors of the female reproductive system: a literature review and practical recommendations for oncogynecologists by Y. A. Chuikova, O. A. Odintsova, D. V. Skalozub, A. G. Antonyuk, A. A. Kabartai, A. N. Nurmamatova, R. M. Azimov, P. A. Snatenkova, A. A. Silantyev, S. R. Osina, D. S. Minasyan, S. A. Lashevich, I. A. Isaeva, E. A. Rukhlyadyeva

“…Ophthalmictoxicity has become increasingly relevant upon introduction of novel anticancer agents – targeted therapies, immunotherapies, and endocrine treatments. …”
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The Multicentre Acute ischemic stroke imaGIng and Clinical data (MAGIC) repository: rationale and blueprint by Hakim Baazaoui, Stefan T. Engelter, Stefan T. Engelter, Stefan T. Engelter, Henrik Gensicke, Henrik Gensicke, Henrik Gensicke, Lukas S. Enz, Lukas S. Enz, Marios Psychogios, Marios Psychogios, Matthias Mutke, Matthias Mutke, Patrik Michel, Davide Strambo, Alexander Salerno, Henk A. Marquering, Paul J. Nederkoorn, Nabila Wali, Stephanie Tanadini-Lang, Björn Menze, Ezequiel de la Rosa, Kaiyuan Yang, Gian Marco De Marchis, Gian Marco De Marchis, Tolga D. Dittrich, Tolga D. Dittrich, Francesco Valletta, Francesco Valletta, Manon Germann, Carlo W. Cereda, João Pedro Marto, Lisa Herzog, Patrick Hirschi, Zsolt Kulcsar, Susanne Wegener, Susanne Wegener

“…There, patient identifiers are removed and images are algorithmically de-faced. De-identified structured clinical data are connected to the imaging data by a new identifier. …”
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Machine Learning Techniques Applied to COVID-19 Prediction: A Systematic Literature Review by Yunyun Cheng, Rong Cheng, Ting Xu, Xiuhui Tan, Yanping Bai

“…We used the selected keywords to screen the relevant literature of COVID-19 prediction using ML technology from 2020 to 2023 in the Web of Science, Springer and Elsevier databases. …”
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The Effect of Hearing Aid Amplification on Gait Parameters: A Pilot Study Using Ear-Worn Motion Sensors by Ann-Kristin Seifer, Arne Küderle, Kaja Strobel, Ronny Hannemann, Björn M. Eskofier

“…Additionally, we showed the potential of ear-worn sensors for detecting relevant gait changes. To achieve this, we used a hearing-aid-integrated accelerometer and our open-source EarGait framework comprising gait-related algorithms specifically developed for ear-worn sensors. …”
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