Development of an Electronic Health Record–Based Algorithm for Predicting Lung Cancer Screening Eligibility in the Population-Based Research to Optimize the Screening Process Lung Research Consortium ...
BiLSTM, an ICD-11 automatic coding model using MC-BERT and label attention. Experiments on clinical records show 83.86% ...
ATLANTA, Feb. 27, 2025 /PRNewswire/ -- A new study published in the New England Journal of Medicine reveals that clinician-trained AI models can reduce EHR inbox burden by 40%, dramatically improving ...
The recent release of ModernBERT by LightOn and AnswerAI aims at providing the best base model that can be then used in different industry verticals. Efficient Continued Pre-Training, Streamlined for ...
A study by the Regenstrief Institute and Indiana University has demonstrated the potential of using natural language processing technology to extract social risk factor information from clinical notes ...
The goal is sentiment analysis -- accept the text of a movie review (such as, "This movie was a great waste of my time.") and output class 0 (negative review) or class 1 (positive review). This ...
If you’re passionate about the world of artificial intelligence, you’re likely familiar with GPT, or Generative Pretrained Transformers. They are undeniably impressive natural language processing ...
Results that may be inaccessible to you are currently showing.
Hide inaccessible results