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Scientific Reports
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June 18, 2023
Predicting outcomes of acute kidney injury in critically ill patients using machine learning
Fateme 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 mortality
Fateme 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 ICU
Fateme 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 Interface
Fateme 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 review
Fateme 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 Segmentation
Pooya 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 Evaluation
Wenyuan 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 Expertise
Fateme 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 Care
Fateme Nateghi Haredasht, Manoj V Maddali, Stephen P Ma, et al.
NPJ Digital Medicine
|
January 19, 2025
Clinical entity augmented retrieval for clinical information extraction
Ivan Lopez, Akshay Swaminathan, Karthik Vedula, et al.
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Search research articles
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Showing results (1-10 of 24) with videos related to
Sort By:
Page
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Scientific Reports
|
June 18, 2023
Predicting outcomes of acute kidney injury in critically ill patients using machine learning
Fateme 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 mortality
Fateme 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 ICU
Fateme 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 Interface
Fateme 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 review
Fateme 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 Segmentation
Pooya 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 Evaluation
Wenyuan 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 Expertise
Fateme 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 Care
Fateme Nateghi Haredasht, Manoj V Maddali, Stephen P Ma, et al.
NPJ Digital Medicine
|
January 19, 2025
Clinical entity augmented retrieval for clinical information extraction
Ivan Lopez, Akshay Swaminathan, Karthik Vedula, et al.
Page
of 3