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Ahmad Abdel-Hafez

Showing results (1-10 of 15) with videos related to

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Studies in Health Technology and Informatics|December 18, 2021
Theatre Performance Dashboard: Development and ChallengesAhmad Abdel-Hafez, Michelle Winning, Michael Gill
Studies in Health Technology and Informatics|December 18, 2021
The Clinical Nursing and Midwifery Dashboard (CNMD): A State-Wide ImplementationAhmad Abdel-Hafez, Don Baker, Michelle Winning, et al.
Australian Health Review : a Publication of the Australian Hospital Association|June 24, 2021
What is needed to mainstream artificial intelligence in health care?Ian A Scott, Ahmad Abdel-Hafez, Michael Barras, et al.
Journal of Medical Internet Research|November 13, 2024
An Electronic Medical Record-Based Prognostic Model for Inpatient Falls: Development and Internal-External Cross-ValidationRex Parsons, Robin Blythe, Susanna Cramb, et al.
British Journal of Clinical Pharmacology|September 28, 2020
Development and validation of the Adverse Inpatient Medication Event model (AIME)Nazanin Falconer, Michael Barras, Ahmad Abdel-Hafez, et al.
British Journal of Clinical Pharmacology|April 9, 2021
Systematic review of machine learning models for personalised dosing of heparinNazanin Falconer, Ahmad Abdel-Hafez, Ian A Scott, et al.
Scientific Reports|July 11, 2022
Explainable machine learning for real-time deterioration alert prediction to guide pre-emptive treatmentAida Brankovic, Hamed Hassanzadeh, Norm Good, et al.
Frontiers in Digital Health|November 15, 2023
Artificial intelligence in medical referrals triage based on Clinical Prioritization CriteriaAhmad Abdel-Hafez, Melanie Jones, Maziiar Ebrahimabadi, et al.
Scientific Reports|August 5, 2022
Author Correction: Explainable machine learning for real-time deterioration alert prediction to guide pre-emptive treatmentAida Brankovic, Hamed Hassanzadeh, Norm Good, et al.
Therapeutic Advances in Drug Safety|January 22, 2026
Machine learning risk prediction models for medication harm in hospitalised adult patientsJonathan Yong Jie Lam, Michael Barras, Ian A Scott, et al.
Pageof 2

Showing results (1-10 of 15) with videos related to

Sort By:
Pageof 2
Studies in Health Technology and Informatics|December 18, 2021
Theatre Performance Dashboard: Development and ChallengesAhmad Abdel-Hafez, Michelle Winning, Michael Gill
Studies in Health Technology and Informatics|December 18, 2021
The Clinical Nursing and Midwifery Dashboard (CNMD): A State-Wide ImplementationAhmad Abdel-Hafez, Don Baker, Michelle Winning, et al.
Australian Health Review : a Publication of the Australian Hospital Association|June 24, 2021
What is needed to mainstream artificial intelligence in health care?Ian A Scott, Ahmad Abdel-Hafez, Michael Barras, et al.
Journal of Medical Internet Research|November 13, 2024
An Electronic Medical Record-Based Prognostic Model for Inpatient Falls: Development and Internal-External Cross-ValidationRex Parsons, Robin Blythe, Susanna Cramb, et al.
British Journal of Clinical Pharmacology|September 28, 2020
Development and validation of the Adverse Inpatient Medication Event model (AIME)Nazanin Falconer, Michael Barras, Ahmad Abdel-Hafez, et al.
British Journal of Clinical Pharmacology|April 9, 2021
Systematic review of machine learning models for personalised dosing of heparinNazanin Falconer, Ahmad Abdel-Hafez, Ian A Scott, et al.
Scientific Reports|July 11, 2022
Explainable machine learning for real-time deterioration alert prediction to guide pre-emptive treatmentAida Brankovic, Hamed Hassanzadeh, Norm Good, et al.
Frontiers in Digital Health|November 15, 2023
Artificial intelligence in medical referrals triage based on Clinical Prioritization CriteriaAhmad Abdel-Hafez, Melanie Jones, Maziiar Ebrahimabadi, et al.
Scientific Reports|August 5, 2022
Author Correction: Explainable machine learning for real-time deterioration alert prediction to guide pre-emptive treatmentAida Brankovic, Hamed Hassanzadeh, Norm Good, et al.
Therapeutic Advances in Drug Safety|January 22, 2026
Machine learning risk prediction models for medication harm in hospitalised adult patientsJonathan Yong Jie Lam, Michael Barras, Ian A Scott, et al.
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