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[HTML][HTML] A systematic review of natural language processing methods and applications in thyroidology
R Loor-Torres, M Duran, D Toro-Tobon… - Mayo Clinic …, 2024 - Elsevier
This study aimed to review the application of natural language processing (NLP) in thyroid-
related conditions and to summarize current challenges and potential future directions. We …
related conditions and to summarize current challenges and potential future directions. We …
Predicting patient reported outcome measures: a sco** review for the artificial intelligence-guided patient preference predictor
JA Balch, AH Chatham, PKW Hong… - Frontiers in Artificial …, 2024 - frontiersin.org
Background The algorithmic patient preference predictor (PPP) has been proposed to aid in
decision making for incapacitated patients in the absence of advanced directives. Ethical …
decision making for incapacitated patients in the absence of advanced directives. Ethical …
[HTML][HTML] Thyroid ultrasound appropriateness identification through Natural Language Processing of electronic health records
Objective To address thyroid cancer overdiagnosis, we aim to develop a natural language
processing (NLP) algorithm to determine the appropriateness of thyroid ultrasounds (TUS) …
processing (NLP) algorithm to determine the appropriateness of thyroid ultrasounds (TUS) …
[HTML][HTML] A Spine-Specific Lexicon for the Sentiment Analysis of Interviews with Adult Spinal Deformity Patients Correlate with SF-36, SF-36, and ODI Scores: A Pilot …
Classic health-related quality of life (HRQOL) metrics are cumbersome, time-intensive, and
subject to biases based on the patient's native language, educational level, and cultural …
subject to biases based on the patient's native language, educational level, and cultural …
[PDF][PDF] Spinal specific lexicon for sentiment analysis of adult spinal deformity patient interviews correlate with SRS22, SF36, and ODI scores: A pilot study of 25 patients
Classic health-related quality of life (HRQOL) metrics are cumbersome, time-intensive, and
subject to biases based on the subject's native language, educational level, and cultural …
subject to biases based on the subject's native language, educational level, and cultural …
Large language models in cancer: potentials, risks, and safeguards
This review examines the use of Large Language Models (LLMs) in cancer, analyzing
articles sourced from PubMed, Embase, and Ovid Medline, published between 2017 and …
articles sourced from PubMed, Embase, and Ovid Medline, published between 2017 and …
[BUCH][B] Deep Learning Models for Stroke Lesion Segmentation and Brain Aging Clocks
L Shang - 2024 - search.proquest.com
The human brain, with its intricate and complex structure, remains one of the most
challenging subjects in neuroscience. While there are numerous ways to understand the …
challenging subjects in neuroscience. While there are numerous ways to understand the …
[BUCH][B] Improving Text Representations With Language Models: Contrastive Learning, Personalization, and Data Augmentation
R Lian - 2023 - search.proquest.com
Text representation learning is a fundamental task in NLP. It aims to capture the semantic,
syntactic, and contextual information present in textual data and transform it into a numerical …
syntactic, and contextual information present in textual data and transform it into a numerical …
[PDF][PDF] 生成 AI と自然言語処理の医療への適用: 診療記録からの患者 QOL 測定
新村和久， 重松愛里， 藤倉将** - 2023 - dspace.jaist.ac.jp
JAIST Repository Page 1 Japan Advanced Institute of Science and Technology JAIST
Repository https://dspace.jaist.ac.jp/ Title 生成AIと自然言語処理の医療への適用 : 診療記録からの …
Repository https://dspace.jaist.ac.jp/ Title 生成AIと自然言語処理の医療への適用 : 診療記録からの …