Dilated cardiomyopathy evaluation with Imagenomics: combining multimodal cardiovascular imaging and genetics by Kristian Galanti, Ghaith Sharaf Dabbagh, Fabrizio Ricci, Sabina Gallina, Roberta Giansante, Ron Jacob, Edmond Obeng‐Gyimah, Leslie T. Cooper Jr, Sanjay K. Prasad, David H. Birnie, Andrew P. Landstrom, Selma F. Mohammed, Saidi Mohiddin, Mohammed Y. Khanji, Anwar A. Chahal

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Advancements in Machine Learning (ML): Transforming the Future of Blood Cancer Detection and Outcome Prediction by Wiebke Rösler, Michael Roiss, Corinne Widmer

“…DL has shown the potential to outperform ML methods in predicting patient survival rates and discovering new prognostic and diagnostic biomarkers. As research progresses, ML and DL technologies hold immense promise to significantly enhance our ability to predict the diagnosis of hematologic malignancies, leading to earlier detection and more personalized and effective treatment strategies. …”
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Post COVID-19 Conditions and Neurocognitive Impairment—Current Findings and Clinical Implications by Tarek Jebrini, Michael Ruzicka, Hans Stubbe, Kristina Adorjan

“…This perspective emphasizes the need for evidence-based diagnostic algorithms that integrate both subjective and objective NCI, explicitly addressing the risk of stigmatization. …”
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Clinical and etiopathogenetic aspects of depressive and anxiety disorders’ comorbidity: towards the problem of achieving stable remission by T. A. Karavaeva, A. V. Vasileva, D. S. Radionov, D. A. Starunskaya, A. E. Andrianova

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Non-Celiac Villous Atrophy—A Problem Still Underestimated by Katarzyna Napiórkowska-Baran, Paweł Treichel, Adam Wawrzeńczyk, Ewa Alska, Robert Zacniewski, Maciej Szota, Justyna Przybyszewska, Amanda Zoń, Zbigniew Bartuzi

“…These findings highlight significant diagnostic challenges and underscore the need to adapt diagnostic algorithms that combine clinical history, serologic evaluations, and histopathologic analysis. …”
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The role of endothelial cell-related gene COL1A1 in prostate cancer diagnosis and immunotherapy: insights from machine learning and single-cell analysis by Gujun Cong, Jingjing Shao, Feng Xiao, Haixia Zhu, Peipei Kang

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Differential diagnosis of pericarditis. Part I: Anatomical and physiological characteristics of the pericardium, chest pain syndrome, and pericardial effusion by V. Yu. Myachikova, O. M. Moiseeva

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Modern methods for adhesive bowel obstruction diagnosis by K. D. Rybakov, G. S. Sednev, E. M. Askerov, A. M. Morozov, A. N. Pichugova, M. A. Belyak

“…Historically, there has been a certain algorithm for examining patients arriving with suspected adhesive intestinal obstruction, which includes: complaints, anamnesis of the disease and life, objective status, as well as additional diagnostic methods. …”
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Machine Learning Models for the Classification of Histopathological Images of Colorectal Cancer by Nektarios Georgiou, Pavlos Kolias, Ioanna Chouvarda

“…This work holds implications for the development of more accurate and efficient tools, underscoring the potential of computational models in enhancing the analysis of histopathological images and improving diagnostic capabilities in cancer research.…”
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Human multiethnic radiogenomics reveals low-abundancy microRNA signature in plasma-derived extracellular vesicles for early diagnosis and molecular subtyping of pancreatic cancer by Jianying Xu, Wenjie Shi, Yi Zhu, Chao Zhang, Julia Nagelschmitz, Maximilian Doelling, Sara Al-Madhi, Ujjwal Mukund Mahajan, Maciej Pech, Georg Rose, Roland Siegfried Croner, Guoliang Zheng, Christoph Kahlert, Ulf Dietrich Kahlert

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Development and application of an early prediction model for risk of bloodstream infection based on real-world study by Xiefei Hu, Shenshen Zhi, Yang Li, Yuming Cheng, Haiping Fan, Haorong Li, Zihao Meng, Jiaxin Xie, Shu Tang, Wei Li

“…Based on the optimal combination, six machine learning algorithms were used to construct an early BSI risk prediction model. …”
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Current Topics on the Integration of Artificial Intelligence in the Histopathological and Molecular Diagnosis of Uveal Melanoma by Serena Salzano, Giuseppe Broggi, Andrea Russo, Teresio Avitabile, Antonio Longo, Rosario Caltabiano, Manuel Mazzucchelli

“…<b>Results:</b> The discussion underscores AI’s potential to enhance diagnostic precision and efficiency. Particular focus is placed on its role in histopathological assessments of UM, where algorithms facilitate the analysis of whole-slide images (WSIs). …”
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Automated Recognition of Abnormalities in Gastrointestinal Endoscopic Images – Evaluation of an AI Tool for Identifying Polyps and Other Irregularities by Weronika Jarych, Elżbieta Tokarczyk, Patryk Iglewski, Daria Ziemińska, Karina Motolko, Rafał Burczyk, Konrad Duszyński, Michał Kociński, Jan Reinald Wendt

“…Additionally, the potential benefits of combining AI with complementary imaging technologies, such as fluorescence imaging and spectroscopy, are explored to further enhance diagnostic capabilities. In conclusion, the study highlights the promising role of AI in gastrointestinal endoscopy while underscoring the importance of continued research, algorithmic refinement, and the establishment of regulatory frameworks to fully harness its clinical potential. …”
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Mammography In Breast Cancer Screening – Current Knowledge, Challenges, The Impact of Artificial Intelligence, And Effectiveness With A Focus On Poland by Maciej Pachana, Marcin Piersiak, Hubert Sawczuk, Anna Tomasiewicz, Jan Zabierowski, Piotr Kukuła, Julia Marschollek, Maciej Ziomek

“…However, effective implementation of AI requires seamless integration with clinical systems and ongoing research to refine algorithms for diverse clinical needs. …”
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Automated Audiometry as the Screening of Hearing in Schoolchildren: Literature Review and Own Experience by Aleksandr V. Pashkov, Irina V. Naumova, Irina V. Zelenkova, Leila S. Namazova-Baranova, Elena A. Vishneva, Ksenia I. Voevodina

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Current application, possibilities, and challenges of artificial intelligence in the management of rheumatoid arthritis, axial spondyloarthritis, and psoriatic arthritis by Emre Bilgin

“…Advances in AI, mainly in machine learning and deep learning, have significantly influenced medical research and clinical practice over the past decades by offering precisions in data understanding and treatment approaches. …”
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Advancements in Retinal Tissue-Mimicking Optical Coherence Tomography Phantoms: Materials, Properties, and Applications by Mukhit Kulmaganbetov

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Development of a Technique for Discrete-Logical Decision-Making in Medical Information Systems by Islam A. Alexandrov, Vladimir Zh. Kuklin, Leonid M. Chervyakov, Sergei A. Sheptunov

“…One of the urgent directions in solving medical diagnostic tasks is to develop new and improved decision support systems capable of efficiently processing polymodal data. …”
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Radiomic Feature Extraction Based on Computed Tomography for Stroke Patients by Alamgir Hossain, Jolly Sultana, Shahed Hossain, Hafizur Rahman

“…Conclusion: In summary, stroke imaging analysis benefits greatly from the deployment of complex image processing techniques, reliable feature extraction methods, and cutting-edge segmentation algorithms. Accurate stroke lesion identification and stratification are made possible by the thorough assessment of diagnostic parameters such as ROC curves and the application of visualization tools such as heatmaps.…”
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AI-driven precision diagnosis and treatment in Parkinson’s disease: a comprehensive review and experimental analysis by Bhekisipho Twala

“…Future research should focus on large-scale clinical validation and implementation frameworks for healthcare systems.…”
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