AIMC Topic: Natural Language Processing

Clear Filters Showing 31 to 40 of 3843 articles

Large Language Model Synergy for Ensemble Learning in Medical Question Answering: Design and Evaluation Study.

Journal of medical Internet research Jul 14, 2025
BACKGROUND: Large language models (LLMs) have demonstrated remarkable capabilities in natural language processing tasks, including medical question-answering (QA). However, individual LLMs often exhibit varying performance across different medical QA...
Humans Large Language Models Ensemble Learning Machine Learning Natural Language Processing
View on PubMed DOI

Detecting schizophrenia, bipolar disorder, psychosis vulnerability and major depressive disorder from 5 minutes of online-collected speech.

Translational psychiatry Jul 12, 2025
Psychosis poses substantial social and healthcare burdens. The analysis of speech is a promising approach for the diagnosis and monitoring of psychosis, capturing symptoms like thought disorder and flattened affect. Recent advancements in Natural Lan...
Case-Control Studies Speech Middle Aged Depressive Disorder, Major Schizophrenia Psychotic Disorders Bipolar Disorder Natural Language Processing Machine Learning Female Adult Male Young Adult Humans
View on PubMed DOI

A novel dual embedding few-shot learning approach for classifying bone loss using orthopantomogram radiographic notes.

Head & face medicine Jul 11, 2025
BACKGROUND: Orthopantomograms (OPGs) are essential diagnostic tools in dental and maxillofacial care, providing a panoramic view of the jaws, teeth, and surrounding bone structures. Detecting bone loss, which indicates periodontal disease and systemi...
Humans Radiography, Panoramic Alveolar Bone Loss Osteoporosis Machine Learning Natural Language Processing
View on PubMed DOI

Leveraging AI to Drive Timely Improvements in Patient Experience Feedback: Algorithm Validation.

JMIR medical informatics Jul 10, 2025
BACKGROUND: Understanding and improving patient care is pivotal for health care providers. With increasing volumes of the Friends and Family Test (FFT) data in England, manual analysis of this patient feedback poses challenges for many health care or...
Algorithms England Quality Improvement Patient Satisfaction Humans Natural Language Processing Artificial Intelligence
View on PubMed DOI

Predicting Drug-Side Effect Relationships From Parametric Knowledge Embedded in Biomedical BERT Models: Methodological Study With a Natural Language Processing Approach.

JMIR medical informatics Jul 10, 2025
BACKGROUND: Adverse drug reactions (ADRs) pose serious risks to patient health, and effectively predicting and managing them is an important public health challenge. Given the complexity and specificity of biomedical text data, the traditional contex...
Drug-Related Side Effects and Adverse Reactions Humans Natural Language Processing
View on PubMed DOI

Large language models' knowledge of children's memory and suggestibility: Evaluating model predictions of prior experimental results.

Acta psychologica Jul 9, 2025
BACKGROUND: Accurately predicting children's memory and suggestibility in forensic contexts, such as child sexual abuse (CSA) investigations, remains challenging for human professionals. Large Language Model (LLM), as an advanced natural language pro...
Female Male Child Humans Large Language Models Child Abuse, Sexual Suggestion Natural Language Processing Memory
View on PubMed DOI

Using Natural Language Processing to Describe the Use of an Online Community for Abortion During 2022: Dynamic Topic Modeling Analysis of Reddit Posts.

JMIR infodemiology Jul 9, 2025
BACKGROUND: Abortion access in the United States has been in a state of rapid change and increasing restriction since the Dobbs v Jackson Women's Health Organization decision from the US Supreme Court in June 2022. With further constraints on access ...
United States Health Services Accessibility Humans Pregnancy Female Internet Social Media Abortion, Induced Natural Language Processing Abortion, Legal
View on PubMed DOI

Language Models for Multilabel Document Classification of Surgical Concepts in Exploratory Laparotomy Operative Notes: Algorithm Development Study.

JMIR medical informatics Jul 9, 2025
BACKGROUND: Operative notes are frequently mined for surgical concepts in clinical care, research, quality improvement, and billing, often requiring hours of manual extraction. These notes are typically analyzed at the document level to determine the...
Laparotomy Electronic Health Records Natural Language Processing Humans Algorithms
View on PubMed DOI

MedKA: A knowledge graph-augmented approach to improve factuality in medical Large Language Models.

Journal of biomedical informatics Jul 8, 2025
Large language models (LLMs) have demonstrated remarkable potential in medical applications. However, they still face critical challenges such as hallucinations, knowledge inconsistency, and insufficient integration of domain-specific medical experti...
Large Language Models Humans Algorithms Natural Language Processing Medical Informatics Language
View on PubMed DOI

Toward Cross-Hospital Deployment of Natural Language Processing Systems: Model Development and Validation of Fine-Tuned Large Language Models for Disease Name Recognition in Japanese.

JMIR medical informatics Jul 8, 2025
BACKGROUND: Disease name recognition is a fundamental task in clinical natural language processing, enabling the extraction of critical patient information from electronic health records. While recent advances in large language models (LLMs) have sho...
Natural Language Processing Japan Language Large Language Models Disease Humans East Asian People Electronic Health Records
View on PubMed DOI
Popular Topics
Recent Journals