AIMC Topic: Natural Language Processing

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Reshaping free-text radiology notes into structured reports with generative question answering transformers.

Artificial intelligence in medicine
BACKGROUND: Radiology reports are typically written in a free-text format, making clinical information difficult to extract and use. Recently, the adoption of structured reporting (SR) has been recommended by various medical societies thanks to the a...

PT-KGNN: A framework for pre-training biomedical knowledge graphs with graph neural networks.

Computers in biology and medicine
Biomedical knowledge graphs (KGs) serve as comprehensive data repositories that contain rich information about nodes and edges, providing modeling capabilities for complex relationships among biological entities. Many approaches either learn node fea...

Prediction of Alzheimer's disease progression within 6 years using speech: A novel approach leveraging language models.

Alzheimer's & dementia : the journal of the Alzheimer's Association
INTRODUCTION: Identification of individuals with mild cognitive impairment (MCI) who are at risk of developing Alzheimer's disease (AD) is crucial for early intervention and selection of clinical trials.

Unveiling the Larsen effect in the scientific literature domain: Navigating quality amidst the artificial intelligence-driven deluge.

Journal of oral pathology & medicine : official publication of the International Association of Oral Pathologists and the American Academy of Oral Pathology
The challenges faced by the massive increase in scientific publications draw parallels to the Larsen effect, where an amplified sound loop leads to escalating noise. This phenomenon has resulted in information overload, making it difficult for resear...

Editorial Commentary: Chat Generative Pre-Trained Transformer (ChatGPT) Provides Misinformed Responses to Medical Questions.

Arthroscopy : the journal of arthroscopic & related surgery : official publication of the Arthroscopy Association of North America and the International Arthroscopy Association
Surgeons have dealt with the negative effects of misinformation from "Dr. Google" since patients started using search engines to seek out medical information. With the advent of natural language processing software such as Chat Generative Pre-Trained...

Improving clinical abbreviation sense disambiguation using attention-based Bi-LSTM and hybrid balancing techniques in imbalanced datasets.

Journal of evaluation in clinical practice
RATIONALE: Clinical abbreviations pose a challenge for clinical decision support systems due to their ambiguity. Additionally, clinical datasets often suffer from class imbalance, hindering the classification of such data. This imbalance leads to cla...

Application of a natural language processing artificial intelligence tool in psoriasis: A cross-sectional comparative study on identifying affected areas in patients' data.

Clinics in dermatology
Psoriasis is an immune-mediated skin disease affecting approximately 3% of the global population. Proper management of this condition necessitates the assessment of the body surface area and the involvement of nails and joints. The integration of nat...

Use of Artificial Intelligence Techniques to Assist Individuals with Physical Disabilities.

Annual review of biomedical engineering
Assistive technologies (AT) enable people with disabilities to perform activities of daily living more independently, have greater access to community and healthcare services, and be more productive performing educational and/or employment tasks. Int...

Large language models and artificial intelligence chatbots in vascular surgery.

Seminars in vascular surgery
Natural language processing is a subfield of artificial intelligence that aims to analyze human oral or written language. The development of large language models has brought innovative perspectives in medicine, including the potential use of chatbot...

Large Language Models in Orthopaedics: Definitions, Uses, and Limitations.

The Journal of bone and joint surgery. American volume
➤ Large language models are a subset of artificial intelligence. Large language models are powerful tools that excel in natural language text processing and generation.➤ There are many potential clinical, research, and educational applications of lar...