AIMC Topic: Natural Language Processing
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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...
Natural language processing models reveal neural dynamics of human conversation.
Nature communications
Apr 9, 2025
Through conversation, humans engage in a complex process of alternating speech production and comprehension to communicate. The neural mechanisms that underlie these complementary processes through which information is precisely conveyed by language,...
Extracting Pulmonary Embolism Diagnoses From Radiology Impressions Using GPT-4o: Large Language Model Evaluation Study.
JMIR medical informatics
Apr 9, 2025
BACKGROUND: Pulmonary embolism (PE) is a critical condition requiring rapid diagnosis to reduce mortality. Extracting PE diagnoses from radiology reports manually is time-consuming, highlighting the need for automated solutions. Advances in natural l...
Improving Phenotyping of Patients With Immune-Mediated Inflammatory Diseases Through Automated Processing of Discharge Summaries: Multicenter Cohort Study.
JMIR medical informatics
Apr 9, 2025
BACKGROUND: Valuable insights gathered by clinicians during their inquiries and documented in textual reports are often unavailable in the structured data recorded in electronic health records (EHRs).
Establishing a Validation Framework of Treatment Discontinuation in Claims Data Using Natural Language Processing and Electronic Health Records.
Clinical pharmacology and therapeutics
Apr 8, 2025
Measuring medication discontinuation in claims data primarily relies on the gaps between prescription fills, but such definitions are rarely validated. This study aimed to establish a natural language processing (NLP)-based validation framework to ev...
Low-cost algorithms for clinical notes phenotype classification to enhance epidemiological surveillance: A case study.
Journal of biomedical informatics
Apr 8, 2025
OBJECTIVE: Our study aims to enhance epidemic intelligence through event-based surveillance in an emerging pandemic context. We classified electronic health records (EHRs) from La Rioja, Argentina, focusing on predicting COVID-19-related categories i...
A Causality-Aware Paradigm for Evaluating Creativity of Multimodal Large Language Models.
IEEE transactions on pattern analysis and machine intelligence
Apr 8, 2025
Recently, numerous benchmarks have been developed to evaluate the logical reasoning abilities of large language models (LLMs). However, assessing the equally important creative capabilities of LLMs is challenging due to the subjective, diverse, and d...
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