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Fateme Nateghi Haredasht

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Scientific Reports|June 18, 2023
Predicting outcomes of acute kidney injury in critically ill patients using machine learningFateme Nateghi Haredasht, Liesbeth Viaene, Hans Pottel, et al.
Journal of Nephrology|April 20, 2022
The effect of different consensus definitions on diagnosing acute kidney injury events and their association with in-hospital mortalityFateme Nateghi Haredasht, Maria Antonatou, Etienne Cavalier, et al.
Journal of Clinical Medicine|December 23, 2022
Comparison between Cystatin C- and Creatinine-Based Estimated Glomerular Filtration Rate in the Follow-Up of Patients Recovering from a Stage-3 AKI in ICUFateme Nateghi Haredasht, Liesbeth Viaene, Celine Vens, et al.
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing|December 13, 2024
Session Introduction: AI and Machine Learning in Clinical Medicine: Generative and Interactive Systems at the Human-Machine InterfaceFateme Nateghi Haredasht, Dokyoon Kim, Joseph D Romano, et al.
BMC Nephrology|May 10, 2023
Validated risk prediction models for outcomes of acute kidney injury: a systematic reviewFateme Nateghi Haredasht, Laban Vanhoutte, Celine Vens, et al.
IEEE Journal of Biomedical and Health Informatics|November 24, 2025
Deconver: A Deconvolutional Network for Medical Image SegmentationPooya Ashtari, Shahryar Noei, Fateme Nateghi Haredasht, et al.
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing|February 27, 2026
Retrieval-Augmented Guardrails for AI-Drafted Patient-Portal Messages: Error Taxonomy Construction and Large-Scale EvaluationWenyuan Chen, Fateme Nateghi Haredasht, Kameron C Black, et al.
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing|February 27, 2026
Session Introduction: AI and Machine Learning in Clinical Medicine Bridging or Separating Model Intelligence and Human ExpertiseFateme Nateghi Haredasht, Joseph D Romano, Brett K Beaulieu-Jones, et al.
AMIA ... Annual Symposium Proceedings. AMIA Symposium|May 26, 2025
Enhancing Antibiotic Stewardship: A Machine Learning Approach to Predicting Antibiotic Resistance in Inpatient CareFateme Nateghi Haredasht, Manoj V Maddali, Stephen P Ma, et al.
NPJ Digital Medicine|January 19, 2025
Clinical entity augmented retrieval for clinical information extractionIvan Lopez, Akshay Swaminathan, Karthik Vedula, et al.
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Showing results (1-10 of 24) with videos related to

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Scientific Reports|June 18, 2023
Predicting outcomes of acute kidney injury in critically ill patients using machine learningFateme Nateghi Haredasht, Liesbeth Viaene, Hans Pottel, et al.
Journal of Nephrology|April 20, 2022
The effect of different consensus definitions on diagnosing acute kidney injury events and their association with in-hospital mortalityFateme Nateghi Haredasht, Maria Antonatou, Etienne Cavalier, et al.
Journal of Clinical Medicine|December 23, 2022
Comparison between Cystatin C- and Creatinine-Based Estimated Glomerular Filtration Rate in the Follow-Up of Patients Recovering from a Stage-3 AKI in ICUFateme Nateghi Haredasht, Liesbeth Viaene, Celine Vens, et al.
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing|December 13, 2024
Session Introduction: AI and Machine Learning in Clinical Medicine: Generative and Interactive Systems at the Human-Machine InterfaceFateme Nateghi Haredasht, Dokyoon Kim, Joseph D Romano, et al.
BMC Nephrology|May 10, 2023
Validated risk prediction models for outcomes of acute kidney injury: a systematic reviewFateme Nateghi Haredasht, Laban Vanhoutte, Celine Vens, et al.
IEEE Journal of Biomedical and Health Informatics|November 24, 2025
Deconver: A Deconvolutional Network for Medical Image SegmentationPooya Ashtari, Shahryar Noei, Fateme Nateghi Haredasht, et al.
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing|February 27, 2026
Retrieval-Augmented Guardrails for AI-Drafted Patient-Portal Messages: Error Taxonomy Construction and Large-Scale EvaluationWenyuan Chen, Fateme Nateghi Haredasht, Kameron C Black, et al.
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing|February 27, 2026
Session Introduction: AI and Machine Learning in Clinical Medicine Bridging or Separating Model Intelligence and Human ExpertiseFateme Nateghi Haredasht, Joseph D Romano, Brett K Beaulieu-Jones, et al.
AMIA ... Annual Symposium Proceedings. AMIA Symposium|May 26, 2025
Enhancing Antibiotic Stewardship: A Machine Learning Approach to Predicting Antibiotic Resistance in Inpatient CareFateme Nateghi Haredasht, Manoj V Maddali, Stephen P Ma, et al.
NPJ Digital Medicine|January 19, 2025
Clinical entity augmented retrieval for clinical information extractionIvan Lopez, Akshay Swaminathan, Karthik Vedula, et al.
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