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Advancing pancreatic cancer management: the role of artificial intelligence in diagnosis and therapy
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Multidisciplinary approach in the differential diagnosis of left ventricular hypertrophy: a case report
Published 2024-03-01“…Despite the currently existing diagnostic algorithms for LV hypertrophy, establishing a correct diagnosis can take a long time, and controversial research results can lead to false conclusions. …”
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Diagnosis and Management of Alzheimer’s Disease in Primary Care: A Real-World Study in Ontario, Canada
Published 2025-08-01“…Individuals ≥50 years old with dementia or AD were identified using AD and dementia-related diagnostic codes, medications, and keywords searched using natural language processing (NLP) and Artificial Intelligence (AI) algorithms from EMR chart notes. …”
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Hydrocephalus: Molecular and Neuroimaging Biomarkers in Diagnosis and Management
Published 2025-06-01“…Parallel to molecular advances, neuroimaging techniques, ranging from classic markers like Evans’ index to advanced modalities such as diffusion tensor imaging (DTI), arterial spin labeling (ASL), and glymphatic MRI, provide functional perspectives on hydrocephalus diagnosis and management, while artificial intelligence may further enhance diagnostic algorithms. Molecular and imaging markers could not only increase diagnostic confidence, but also provide information on disease causes and progression. …”
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Molecular profile of salivary gland tumors: discovering new targets for therapy
Published 2024-12-01Get full text
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1266
Issues of diagnosis and treatment of metastases in the spine and long bones
Published 2022-05-01Get full text
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Does Artificial Intelligence Bring New Insights in Diagnosing Phlebological Diseases?—A Systematic Review
Published 2025-03-01“…<b>Methods</b>: This paper provides a comprehensive review of key studies documenting the use of AI in venous pathology diagnostics, with different electronic databases being searched, including MEDLINE/Pub Med, Web of Science, Scopus, Embase, ResearchGate, and Google Scholar. …”
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Intelligent diagnosis of thyroid nodules with AI ultrasound assistance and cytology classification
Published 2025-05-01“…We developed five AI models using distinct classification algorithms (Logistic Regression, Support Vector Machine, K-Nearest Neighbor, Random Forest, and Gradient Boosting Machine) that integrate demographic data, cytological findings, and an AI-assisted ultrasound diagnostic system for thyroid nodule assessment. …”
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The evaluation of the hemodynamically significant stenosis of the carotid arteries: analyzing the results from the duplex scanning of vessels, from the computed tomographic and the...
Published 2025-01-01“…RESULTS: The conducted research has shown that there is no complete matching between the data from the transcatheter X-ray contrast angiography, the computed tomographic angiography and the duplex scanning. …”
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Clinical Variations of Uveitis in Immuno-Inflammatory Diseases. Review of the Literature. Part 2
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Evaluation of Agricultural Machinery Operation Modes
Published 2020-12-01“…The author considered the possibilities of the most rational application of the remote monitoring algorithm to diagnostics – to identify the causes of malfunctions.…”
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Comment on “Odontogenic Tumors: A Challenge for Clinical Diagnosis and an Opportunity for AI Innovation”
Published 2025-03-01“…By incorporating advanced imaging techniques and machine learning algorithms, researchers can improve the accuracy and efficiency of diagnostic processes. …”
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Sentinel lymph node biopsy in patients with breast cancer. Experience in implementing at the regional level. Priority issues
Published 2023-10-01“…Despite the fact that sentinel lymph node biopsy (SLNB) in breast cancer patients has become a routine diagnostic procedure, it is still of great interest to researchers, since the priority issues of choosing methodology, equipment, technology, and stages of use are still being discussed. …”
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Harnessing Artificial Intelligence and Innovative Vaccines for Mpox Diagnosis and Control: A Comprehensive Narrative Review
Published 2025-07-01“…Future directions should be focused on healthcare professionals to establish the validity and reliability of the models, a measure of the algorithm’s robustness, and the continuous auditing of AI systems.…”
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