REACT model offers real-time alerts for acute kidney injury in cardiac surgery patients.
― 5 min read
Cutting edge science explained simply
REACT model offers real-time alerts for acute kidney injury in cardiac surgery patients.
― 5 min read
Essential steps for effective data analysis before detailed examination.
― 7 min read
A new model aids in predicting disease activity for better treatment decisions.
― 7 min read
Examining user trust in ChatGPT for health-related decisions.
― 6 min read
Synthetic data aids in predicting COVID-19 risks among Veterans while ensuring privacy.
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A web tool enables exploration of hospital prescription trends and public health data.
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Study reveals links between missing lab data and patient outcomes during the pandemic.
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Connecting diverse health data sources to improve patient care and research methods.
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A new AI model improves detection of rare diseases in health records.
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A platform that simplifies data access for researchers in cancer studies.
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This study examines strategies to enhance EHR alignment with doctors' workflows.
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A study on AI interpreting rapid COVID-19 tests effectively.
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Using social media to analyze health experiences and improve understanding.
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Examining the benefits and concerns of AI in learning environments.
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Advanced tools can improve diagnosis of neglected tropical diseases through skin symptoms.
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Examining patient experiences with online triage platforms during and after the pandemic.
― 7 min read
Survey reveals diverse attitudes toward AI among Canadians, highlighting trust and knowledge gaps.
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A model to enhance health information retrieval and reduce misinformation.
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Research highlights medication data's role in improving ICD coding accuracy.
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This study examines the link between patient portal engagement and weight loss success post-bariatric surgery.
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Evaluating the effectiveness of LLMs in supporting medical decision-making.
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Efforts to standardize healthcare data improve research and patient care.
― 6 min read
Study explores using noisy labels for accurate OIRD outcome identification.
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Innovative software uses algorithms to improve treatment response predictions in clinical trials.
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Innovative framework improves diabetes care by predicting blood sugar levels.
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A new model enhances accuracy in monitoring vancomycin levels for better patient care.
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Comparing accuracy of gender prediction tools in cancer trial authorship.
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New model predicts obesity risks using children's health records.
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Examining the complexities of diagnosing Myalgic Encephalomyelitis in various demographics.
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Partnerships aim to develop fair AI tools for global healthcare improvement.
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A look into how symptom checkers are assessed for accuracy and safety.
― 7 min read
Cumulus enhances healthcare data sharing while ensuring patient privacy.
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A new tool assesses bias in ML-based early-warning systems for better patient care.
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A study on using language models to identify metastatic cancer from clinical notes.
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Improving patient care through advanced data management systems in precision medicine.
― 9 min read
This study develops a model to identify retinal diseases using Brazilian imaging data.
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Research shows LLMs improve information extraction in Alzheimer's care.
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A review of road safety data management in Ethiopia to improve road safety.
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A study on SPARRA's predictive value across different populations.
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This study examines how contextual knowledge enhances the detection of adverse drug events.
― 7 min read