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Artificial intelligence system reduces false-positive findings in the interpretation of breast ultrasound exams

Nature communications, 2021-09, Vol.12 (1), p.5645-5645, Article 5645

2021

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Multimodal masked siamese network improves chest X-ray representation learning

Scientific reports, 2024-09, Vol.14 (1), p.22516-15, Article 22516

2024

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Deep learning for deterioration prediction of COVID-19 patients based on time-series of three vital signs

Scientific reports, 2023-06, Vol.13 (1), p.9968-14, Article 9968

2023

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An artificial intelligence system for predicting the deterioration of COVID-19 patients in the emergency department

NPJ digital medicine, 2021-05, Vol.4 (1), p.80-80, Article 80

2021

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Development and validation of a parsimonious prediction model for positive urine cultures in outpatient visits

PLOS digital health, 2023-11, Vol.2 (11), p.e0000306-e0000306

2023

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Data Pre-Processing Using Neural Processes for Modeling Personalized Vital-Sign Time-Series Data

IEEE journal of biomedical and health informatics, 2022-04, Vol.26 (4), p.1528-1537

2022

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Deep Interpretable Early Warning System for the Detection of Clinical Deterioration

IEEE journal of biomedical and health informatics, 2020-02, Vol.24 (2), p.437-446

2020

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Multimodal Machine Learning for Stroke Prognosis and Diagnosis: A Systematic Review

IEEE journal of biomedical and health informatics, 2024-08, Vol.PP, p.1-16

2024

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Enhancement of Non-Invasive Trans-Membrane Drug Delivery Using Ultrasound and Microbubbles During Physiologically Relevant Flow

Ultrasound in medicine & biology, 2015-09, Vol.41 (9), p.2435-2448

2015

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Privacy-Preserving Machine Learning for Healthcare: Open Challenges and Future Perspectives

Trustworthy Machine Learning for Healthcare, 2023, Vol.13932, p.25-40

2023

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10 Development and evaluation of a machine learning model to predict positive urine cultures in the outpatient setting and minimize the use of antibiotics

BMJ health & care informatics, 2022-11, Vol.29 (Suppl 1), p.A6-A7

2022

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Clinical prediction system of complications among patients with COVID-19: A development and validation retrospective multicentre study during first wave of the pandemic

Intelligence-based medicine, 2022, Vol.6, p.100065-100065, Article 100065

2022

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Machine Learning Models Versus the National Early Warning Score System for Predicting Deterioration: Retrospective Cohort Study in the United Arab Emirates

JMIR AI, 2023-11, Vol.2, p.e45257

2023

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Development and validation of a parsimonious prediction model for positive urine cultures in outpatient visits

PLOS digital health, 2023-11, Vol.2 (11), p.e0000306

2023

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Machine Learning for Decision Support Systems: Prediction of Clinical Deterioration

Digital Health, 2023, p.85-99

2023

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The strategic pursuit of artificial intelligence in the United Arab Emirates

Communications of the ACM, 2021-04, Vol.64 (4), p.57-58

2021

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The Stategic Pursuit of Artificial Intelligence in the United Arap Emirates

Communications of the ACM, 2021-04, Vol.64 (4), p.57

2021

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DeepAMR for predicting co-occurrent resistance of Mycobacterium tuberculosis

Bioinformatics, 2019-09, Vol.35 (18), p.3240-3249

2019

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Artificial intelligence system reduces false-positive findings in the interpretation of breast ultrasound exams

Multimodal masked siamese network improves chest X-ray representation learning

Deep learning for deterioration prediction of COVID-19 patients based on time-series of three vital signs

An artificial intelligence system for predicting the deterioration of COVID-19 patients in the emergency department

Development and validation of a parsimonious prediction model for positive urine cultures in outpatient visits

Data Pre-Processing Using Neural Processes for Modeling Personalized Vital-Sign Time-Series Data

Deep Interpretable Early Warning System for the Detection of Clinical Deterioration

Multimodal Machine Learning for Stroke Prognosis and Diagnosis: A Systematic Review

Enhancement of Non-Invasive Trans-Membrane Drug Delivery Using Ultrasound and Microbubbles During Physiologically Relevant Flow

Privacy-Preserving Machine Learning for Healthcare: Open Challenges and Future Perspectives

10 Development and evaluation of a machine learning model to predict positive urine cultures in the outpatient setting and minimize the use of antibiotics

Clinical prediction system of complications among patients with COVID-19: A development and validation retrospective multicentre study during first wave of the pandemic

Machine Learning Models Versus the National Early Warning Score System for Predicting Deterioration: Retrospective Cohort Study in the United Arab Emirates

Development and validation of a parsimonious prediction model for positive urine cultures in outpatient visits

Machine Learning for Decision Support Systems: Prediction of Clinical Deterioration

The strategic pursuit of artificial intelligence in the United Arab Emirates

The Stategic Pursuit of Artificial Intelligence in the United Arap Emirates

DeepAMR for predicting co-occurrent resistance of Mycobacterium tuberculosis

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