AIMC Topic: Natural Language Processing
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Information extraction from medical case reports using OpenAI InstructGPT.
Computer methods and programs in biomedicine
Jul 18, 2024
BACKGROUND AND OBJECTIVE: Researchers commonly use automated solutions such as Natural Language Processing (NLP) systems to extract clinical information from large volumes of unstructured data. However, clinical text's poor semantic structure and dom...
Parsing Platforms: Natural Language Processing and Public Mental Health.
Cyberpsychology, behavior and social networking
Jul 18, 2024
Leveraging AI and Machine Learning in Six-Sigma Documentation for Pharmaceutical Quality Assurance.
Zhongguo ying yong sheng li xue za zhi = Zhongguo yingyong shenglixue zazhi = Chinese journal of applied physiology
Jul 18, 2024
The pharmaceutical industry must maintain stringent quality assurance standards to ensure product safety and regulatory compliance. A key component of the well-known Six Sigma methodology for process improvement and quality control is precise and com...
Brief Review and Primer of Key Terminology for Artificial Intelligence and Machine Learning in Hypertension.
Hypertension (Dallas, Tex. : 1979)
Jul 16, 2024
Recent breakthroughs in artificial intelligence (AI) have caught the attention of many fields, including health care. The vision for AI is that a computer model can process information and provide output that is indistinguishable from that of a human...
Gender-based linguistic differences in letters of recommendation for rhinology fellowship over time: A dual-institutional follow-up study using natural language processing and deep learning.
International forum of allergy & rhinology
Jul 16, 2024
This follow-up dual-institutional and longitudinal study further evaluated for underlying gender biases in LORs for rhinology fellowship. Explicit and implicit linguistic gender bias was found, heavily favoring male applicants.
ARDSFlag: an NLP/machine learning algorithm to visualize and detect high-probability ARDS admissions independent of provider recognition and billing codes.
BMC medical informatics and decision making
Jul 16, 2024
BACKGROUND: Despite the significance and prevalence of acute respiratory distress syndrome (ARDS), its detection remains highly variable and inconsistent. In this work, we aim to develop an algorithm (ARDSFlag) to automate the diagnosis of ARDS based...
Developing and testing a framework for coding general practitioners' free-text diagnoses in electronic medical records - a reliability study for generating training data in natural language processing.
BMC primary care
Jul 16, 2024
BACKGROUND: Diagnoses entered by general practitioners into electronic medical records have great potential for research and practice, but unfortunately, diagnoses are often in uncoded format, making them of little use. Natural language processing (N...
Identifying symptom etiologies using syntactic patterns and large language models.
Scientific reports
Jul 13, 2024
Differential diagnosis is a crucial aspect of medical practice, as it guides clinicians to accurate diagnoses and effective treatment plans. Traditional resources, such as medical books and services like UpToDate, are constrained by manual curation, ...
Optimizing word embeddings for small dataset: a case study on patient portal messages from breast cancer patients.
Scientific reports
Jul 12, 2024
Patient portal messages often relate to specific clinical phenomena (e.g., patients undergoing treatment for breast cancer) and, as a result, have received increasing attention in biomedical research. These messages require natural language processin...
Beyond algorithms: The human touch machine-generated titles for enhancing click-through rates on social media.
PloS one
Jul 12, 2024
Artificial intelligence (AI) has the potential to revolutionize various domains by automating language-driven tasks. This study evaluates the effectiveness of an AI-assisted methodology, called the "POP Title AI Five-Step Optimization Method," in opt...
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