AIMC Topic: Datasets as Topic

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ChatGPT for science: how to talk to your data.

Nature Jul 1, 2024
Data Analysis Natural Language Processing Datasets as Topic Research Personnel
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From data to diagnosis: skin cancer image datasets for artificial intelligence.

Clinical and experimental dermatology Jun 25, 2024
Artificial intelligence (AI) solutions for skin cancer diagnosis continue to gain momentum, edging closer towards broad clinical use. These AI models, particularly deep-learning architectures, require large digital image datasets for development. Thi...
Deep Learning Datasets as Topic Humans Algorithms Artificial Intelligence Skin Neoplasms
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Development and external validation of deep learning clinical prediction models using variable-length time series data.

Journal of the American Medical Informatics Association : JAMIA May 20, 2024
OBJECTIVES: To compare and externally validate popular deep learning model architectures and data transformation methods for variable-length time series data in 3 clinical tasks (clinical deterioration, severe acute kidney injury [AKI], and suspected...
Male Middle Aged ROC Curve Datasets as Topic Deep Learning Retrospective Studies Acute Kidney Injury Female Humans Neural Networks, Computer
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Constructing synthetic datasets with generative artificial intelligence to train large language models to classify acute renal failure from clinical notes.

Journal of the American Medical Informatics Association : JAMIA May 20, 2024
OBJECTIVES: To compare performances of a classifier that leverages language models when trained on synthetic versus authentic clinical notes.
Acute Kidney Injury Electronic Health Records ROC Curve Humans Artificial Intelligence Datasets as Topic Natural Language Processing Area Under Curve
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Multimodal learning for temporal relation extraction in clinical texts.

Journal of the American Medical Informatics Association : JAMIA May 20, 2024
OBJECTIVES: This study focuses on refining temporal relation extraction within medical documents by introducing an innovative bimodal architecture. The overarching goal is to enhance our understanding of narrative processes in the medical domain, par...
Humans Machine Learning Information Storage and Retrieval Natural Language Processing Electronic Health Records Data Mining Narration Datasets as Topic
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What predicts citation counts and translational impact in headache research? A machine learning analysis.

Cephalalgia : an international journal of headache May 1, 2024
BACKGROUND: We aimed to develop the first machine learning models to predict citation counts and the translational impact, defined as inclusion in guidelines or policy documents, of headache research, and assess which factors are most predictive.
Machine Learning Periodicals as Topic Practice Guidelines as Topic Bibliometrics Authorship Translational Science, Biomedical Headache Humans Area Under Curve Random Forest Biomedical Research Datasets as Topic ROC Curve
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Sex classification from functional brain connectivity: Generalization to multiple datasets.

Human brain mapping Apr 15, 2024
Machine learning (ML) approaches are increasingly being applied to neuroimaging data. Studies in neuroscience typically have to rely on a limited set of training data which may impair the generalizability of ML models. However, it is still unclear wh...
Datasets as Topic Connectome Male Magnetic Resonance Imaging Sex Characteristics Young Adult Adult Machine Learning Brain Humans Female
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Deep Learning and Machine Learning Algorithms for Retinal Image Analysis in Neurodegenerative Disease: Systematic Review of Datasets and Models.

Translational vision science & technology Feb 1, 2024
PURPOSE: Retinal images contain rich biomarker information for neurodegenerative disease. Recently, deep learning models have been used for automated neurodegenerative disease diagnosis and risk prediction using retinal images with good results.
Retina Algorithms Datasets as Topic Alzheimer Disease Deep Learning Neurodegenerative Diseases Humans Machine Learning
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Accurate diagnosis of COVID-19 from lung CT images using transfer learning.

European review for medical and pharmacological sciences Feb 1, 2024
OBJECTIVE: In this study, it is aimed to classify data by feature extraction from tomographic images for the diagnosis of COVID-19 using image processing and transfer learning.
Tomography, X-Ray Computed Lung Humans COVID-19 Testing Machine Learning Datasets as Topic Artificial Intelligence COVID-19
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RealMedQA: A pilot biomedical question answering dataset containing realistic clinical questions.

AMIA ... Annual Symposium proceedings. AMIA Symposium Jan 1, 2024
Clinical question answering systems have the potential to provide clinicians with relevant and timely answers to their questions. Nonetheless, despite the advances that have been made, adoption of these systems in clinical settings has been slow. One...
Pilot Projects Natural Language Processing Datasets as Topic Humans
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