Distilling knowledge from graph neural networks trained on cell graphs to non-neural student models by Vasundhara Acharya, Bülent Yener, Gillian Beamer

“…Abstract The development and refinement of artificial intelligence (AI) and machine learning algorithms have been an area of intense research in radiology and pathology, particularly for automated or computer-aided diagnosis. …”
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Towards a computer-assisted assessment of imitation in children with autism spectrum disorder based on a fine-grained analysis by Rujing Zhang, Jingying Chen, Xiaodi Liu, Yanling Gan, Guangshuai Wang

“…In addition, the findings contributed to research regarding the diagnostic evaluation of children with ASD.…”
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Osteoarthritis: management strategies depending on the location of lesions by N. A. Shostak, N. G. Pravduk, M. O. Anischenko, M. S. Dzhauari

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ACCELERATING THE FORMATION OF CHILDREN’S VALUES IN A LEARNING ENVIRONMENT by A. I. Mantarova, I. A. Angelova

“…Rizhov) are used in the experimental part of the research work. Psychological neoformations are educed by means of the diagnostic test proposed by P. …”
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Machine learning and transfer learning techniques for accurate brain tumor classification by Seyed Matin Malakouti, Mohammad Bagher Menhaj, Amir Abolfazl Suratgar

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Global trends in the use of artificial intelligence for urological tumor histopathology: A 20-year bibliometric analysis by Fazhong Dai, Yifeng He, Juan Duan, Kangjian Lin, Qian Lv, Zhongxiang Zhao, Yesong Zou, Jianhong Jiang, Zongtai Zheng, Xiaofu Qiu

“…Keyword analysis identified “machine learning,” “prostate cancer,” “deep learning,” and “diagnosis” as major research foci. Conclusions The integration of AI into urological tumor pathology demonstrates transformative potential, significantly enhancing diagnostic accuracy and efficiency through automated analysis of whole-slide imaging and Gleason grading, comparable to pathologist-level performance. …”
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MISHTI study evaluating hepatic fibrosis in type 2 diabetes patients in India by Debasis Datta, Krishna G. Seshadri, Samit Ghosal

“…Future research should focus on refining diagnostic algorithms to better address the burden of significant fibrosis in at-risk populations.…”
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Comprehensive molecular analyses of an autoimmune-related gene predictive model and immune infiltrations using machine learning methods in intracranial aneurysma by Minxue Zhang, Lin Zhou, Yuying Zhao, Yanling Wang, Zhuobo Zhang, Zhan Liu

“…From these, two key diagnostic genes were identified using three machine learning algorithms: ADIPOQ and IL21R. …”
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Skin region images extracted from 3D total body photographs for lesion detection by Anup Saha, Joseph Adeola, Nuria Ferrera, Adam Mothershaw, Gisele Rezze, Séraphin Gaborit, Brian D’Alessandro, Robert Voskanyan, Gyula Szabó, Balázs Pataki, Hayat Rajani, Sana Nazari, Hassan Hayat, Laura Serra-García, Clare Primiero, Serena Bonin, Iris Zalaudek, H. Peter Soyer, Josep Malvehy, Rafael Garcia

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Subtypes detection of papillary thyroid cancer from methylation assay via Deep Neural Network by Andrea Colacino, Andrea Soricelli, Michele Ceccarelli, Ornella Affinito, Monica Franzese

“…Also, the findings emphasize the potential relevance of AI algorithms in addressing complex diagnostic challenges and supporting clinical decisions.This research lays the foundation for developing robust and generalizable models that can advance precision oncology in cancer diagnostics.…”
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A fuzzy-predictive current control with real-time hardware for PEM fuel cell systems by Badreddine Kanouni, Abd Essalam Badoud, Saad Mekhilef, Ahmed Elsanabary, Mohit Bajaj, Ievgen Zaitsev

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Diagnosis and treatment of sepsis-induced cardiomyopathy using hemosorption therapy: a case report by S. V. Dil, V. V. Kirilin, N. M. Ivanov, V. V. Ryabov

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Clinical Approach to Evaluation of Underlying Cardiac Device Infection in Patients Hospitalized with Bacteremia by Dierdre B. Axell-House, Sarwat Khalil, M. Rizwan Sohail

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Myocardial Infarction in the Postpartum Period by O. B. Shakhova, I. M. Kuzmina, T. R. Gvindzhiliya, M. M. Damirov, N. A. Muradyan, M. V. Parkhomenko

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Different faces of the stethoscope: history, usefulness, evolution, contamination, and disinfection practices by Dorota Ochońska, Monika Brzychczy-Włoch, Katarzyna Talaga-Ćwiertnia

“…Research data indicate that a stethoscope can be contaminated by 21–100% with clinically relevant bacterial pathogens, including multidrug-resistant strains. …”
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Precision neuropsychology in the area of AI by Astri J. Lundervold

“…The paper also addresses critical implementation challenges: ethical considerations including algorithmic bias and data privacy; balancing quantitative AI analytics with qualitative clinical expertise to avoid reductionism; and developing new competencies for neuropsychologists to effectively integrate AI in their research and clinical work. …”
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Advancing Breast Cancer Diagnosis: A Comprehensive Machine Learning Approach for Predicting Malignant and Benign Cases with Precision and Insight in a Neutrosophic Environment usin... by Nihar Ranjan Panda, R. Rajalakshmi, Surapati Pramanik, Mana Donganont, Prasanta Kumar Raut

“…Breast cancer is still among the deadliest diseases globally, and its detection in an early stage still represents a big challenge in medical diagnostics. This research suggests a complete machine learning framework to predict the probability of benign and malignant breast cancer cases with improved accuracy and interpretability. …”
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Applications, Challenges, and Future Perspectives of Artificial Intelligence in Psychopharmacology, Psychological Disorders and Physiological Psychology: A Comprehensive Review by Mohammad Hossein Salemi, Elham Foroozandeh, Molouk Khademi Ashkzari

“…Artificial Intelligence (AI) is revolutionizing psychopharmacology and psychological research, enhancing diagnostics, treatments, and accessibility. …”
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Artificial intelligence technology in the clinical analysis of a patient with a mental disorder (case report) by Dmitry I. Nozdrachev, Maksim P. Marachev, Pavel S. Evgenov, Natalia N. Petrova

“…The capabilities of neural networks in identifying hidden patterns make them an essential component of scientific research, and these advances are expected to be implemented in clinical practice in the near future. …”
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The current state of the problem of tick-borne encephalitis in Russia and the world by N. M. Kolyasnikova, A. A. Ishmukhametov, V. G. Akimkin

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