AIMC Topic: Humans
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Machine learning-based prediction of celiac antibody seropositivity by biochemical test parameters.
Scientific reports
Jul 3, 2025
The diagnostic delay in celiac disease (CD) is currently a burden for individual and society. Biochemical tests may be used in risk-identification of CD to reduce the diagnostic delay, and we aimed to explore prediction models for CD antibody seropos...
Fluorescence Guided Raman Spectroscopy enables the training of robust support vector machines for the detection of tumour marker proteins.
Scientific reports
Jul 3, 2025
Raman spectroscopy provides comprehensive biochemical information on a sample's composition, yet it is often used to analyze aggregated spectra rather than specific shifts. We introduce Fluorescence Guided Raman Spectroscopy (FGRS) as a methodology e...
Machine learning algorithms for prediction of cerebrospinal fluid leakage after posterior surgery for thoracic ossification of the ligamentum flavum.
Scientific reports
Jul 3, 2025
To develop and validate a machine-learning (ML) model that pre-operatively predicts cerebrospinal-fluid leakage (CSFL) after posterior decompression for thoracic ossification of the ligamentum flavum (TOLF), and to elucidate the key risk factors driv...
De-speckling of medical ultrasound image using metric-optimized knowledge distillation.
Scientific reports
Jul 3, 2025
Ultrasound imaging provides real-time views of internal organs, which are essential for accurate diagnosis and treatment. However, speckle noise, caused by wave interactions with tissues, creates a grainy texture that hides crucial details. This nois...
Identification of proliferating neural progenitors in the adult human hippocampus.
Science (New York, N.Y.)
Jul 3, 2025
Continuous adult hippocampal neurogenesis is involved in memory formation and mood regulation but is challenging to study in humans. Difficulties finding proliferating progenitor cells called into question whether and how new neurons may be generated...
Elucidating the selection mechanisms in context-dependent computation through low-rank neural network modeling.
eLife
Jul 3, 2025
Humans and animals exhibit a remarkable ability to selectively filter out irrelevant information based on context. However, the neural mechanisms underlying this context-dependent selection process remain elusive. Recently, the issue of discriminatin...
Can ChatGPT Provide Patient-Friendly and Reliable Information on Cervical Cancer Screening? A Study of ChatGPT-Generated Information in Polish.
Medical science monitor : international medical journal of experimental and clinical research
Jul 3, 2025
BACKGROUND Cervical cancer (CC) mortality remains a global health problem, and women's awareness of the need for regular CC screening is insufficient. In the era of rapid development of artificial intelligence (AI), large language models (LLMs) such ...
Artificial Intelligence to Improve Clinical Coding Practice in Scandinavia: Crossover Randomized Controlled Trial.
Journal of medical Internet research
Jul 3, 2025
BACKGROUND: Clinical coding is critical for hospital reimbursement, quality assessment, and health care planning. In Scandinavia, however, coding is often done by junior doctors or medical secretaries, leading to high rates of coding errors. Artifici...
Optimizing Vital Signs in Patients With Traumatic Brain Injury: Reinforcement Learning Algorithm Development and Validation.
Journal of medical Internet research
Jul 3, 2025
BACKGROUND: Traumatic brain injury (TBI) is a critically ill disease with a high mortality rate, and clinical treatment is committed to continuously optimizing treatment strategies to improve survival rates.
Artificial Intelligence in Clinical Nutrition: Bridging Data Analytics and Nutritional Care.
Current nutrition reports
Jul 3, 2025
PURPOSE OF REVIEW: This review explores how artificial intelligence can help advance clinical nutrition and address nutrition education and practice challenges. It highlights the role of AI, mainly through advanced clinical decision-making using gene...
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