AIMC Topic: Natural Language Processing
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Predicting diabetes mellitus metabolic goals and chronic complications transitions-analysis based on natural language processing and machine learning models.
PloS one
Apr 15, 2025
OBJECTIVE: To estimate Diabetes mellitus (DM) progression at one and two years in terms of glycemic targets and development of complications.
Summarizing Online Patient Conversations Using Generative Language Models: Experimental and Comparative Study.
JMIR medical informatics
Apr 14, 2025
BACKGROUND: Social media is acknowledged by regulatory bodies (eg, the Food and Drug Administration) as an important source of patient experience data to learn about patients' unmet needs, priorities, and preferences. However, current methods rely ei...
Remdesivir associated with reduced mortality in hospitalized COVID-19 patients: treatment effectiveness using real-world data and natural language processing.
BMC infectious diseases
Apr 12, 2025
BACKGROUND: Remdesivir (RDV) was the first antiviral approved for mild-to-moderate COVID-19 and for those patients at risk for progression to severe disease after clinical trials supported its association with improved outcomes. Real-world evidence (...
Semantic signals in self-reference: The detection and prediction of depressive symptoms from the daily diary entries of a sample with major depressive disorder.
Journal of psychopathology and clinical science
Apr 10, 2025
Individuals with major depressive disorder (MDD) experience fewer positive and more negative emotions and use fewer positive words to describe themselves. Natural language processing techniques have been used to predict depression, with pronoun and e...
Enhancing Ophthalmic Anesthesia Optimization with Predictive Embedding Models.
SLAS technology
Apr 10, 2025
Ophthalmic anesthesia the crucial factors in success and safety of ophthalmic surgery, which involves the delicate aspects of pain control, sedation, and patient response. Advances in ophthalmic surgery cause a need for exact and individualized anest...
MISTIC: a novel approach for metastasis classification in Italian electronic health records using transformers.
BMC medical informatics and decision making
Apr 10, 2025
BACKGROUND: Analysis of Electronic Health Records (EHRs) is crucial in real-world evidence (RWE), especially in oncology, as it provides valuable insights into the complex nature of the disease. The implementation of advanced techniques for automated...
Enhancing counterfactual detection in multilingual contexts using a few shot clue phrase approach.
Scientific reports
Apr 10, 2025
This research paper introduces an innovative counterfactual detection system, designed to tackle the complexities of identifying hypothetical statements that describe non-occurring events in diverse fields such as NLP, psychology, medicine, politics,...
Identification of Patients With Congestive Heart Failure From the Electronic Health Records of Two Hospitals: Retrospective Study.
JMIR medical informatics
Apr 10, 2025
BACKGROUND: Congestive heart failure (CHF) is a common cause of hospital admissions. Medical records contain valuable information about CHF, but manual chart review is time-consuming. Claims databases (using International Classification of Diseases [...
Intelligent control of robotic X-ray devices using a language-promptable digital twin.
International journal of computer assisted radiology and surgery
Apr 9, 2025
PURPOSE: Natural language offers a convenient, flexible interface for controlling robotic C-arm X-ray systems, making advanced functionality and controls easily accessible.Please confirm if the author names are presented accurately and in the correct...
The Role of ChatGPT in osteoporosis management: a comparative analysis with clinical expertise.
Archives of osteoporosis
Apr 9, 2025
UNLABELLED: This study evaluates the role of ChatGPT in osteoporosis management, demonstrating 91% diagnostic accuracy and significantly faster response times compared to clinicians. The findings highlight the potential for artificial intelligence (A...
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