Adil Zia

ORCID: 0000-0003-3213-6220
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About
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Research Areas
  • Abdominal Trauma and Injuries
  • Radiology practices and education
  • Trauma and Emergency Care Studies
  • Pelvic and Acetabular Injuries
  • COVID-19 diagnosis using AI
  • Ultrasound in Clinical Applications
  • Radiation Dose and Imaging
  • Gallbladder and Bile Duct Disorders
  • Scientific Computing and Data Management
  • Spinal Fractures and Fixation Techniques
  • Central Venous Catheters and Hemodialysis
  • Biomedical Text Mining and Ontologies
  • Cervical and Thoracic Myelopathy
  • Diversity and Career in Medicine
  • Trauma Management and Diagnosis
  • Case Reports on Hematomas
  • Medical Imaging and Analysis
  • Advanced Biosensing Techniques and Applications
  • Software System Performance and Reliability
  • Uterine Myomas and Treatments
  • Genital Health and Disease
  • Distributed and Parallel Computing Systems
  • Congenital Anomalies and Fetal Surgery
  • Abdominal vascular conditions and treatments
  • Software Engineering Research

Alfred Health
2020-2024

The Alfred Hospital
2020-2024

Monash University
2022

The University of Queensland
2020

Objectives: Trauma chest radiographs may contain subtle and time-critical pathology. Artificial intelligence (AI) aid in accurate reporting, timely identification worklist prioritisation. However, few AI programs have been externally validated. This study aimed to evaluate the performance of a commercially available deep convolutional neural network – Annalise CXR V1.2 (Annalise.ai) for detection traumatic injuries on supine radiographs. Methods: Chest with CT performed within 24 h setting...

10.1259/bjr.20210979 article EN cc-by British Journal of Radiology 2022-03-10

"Just Accepted" papers have undergone full peer review and been accepted for publication in Radiology: Artificial Intelligence. This article will undergo copyediting, layout, proof before it is published its final version. Please note that during production of the copyedited article, errors may be discovered which could affect content. ©RSNA, 2023

10.1148/ryai.230034 article EN Radiology Artificial Intelligence 2023-08-30

Trauma to the pelvic ring and associated haemorrhage represent a management challenge for multidisciplinary trauma team. In up 10% of patients, bleeding can be result an arterial injury mortality is reported as high 89% in this cohort. We aimed assess rate after embolisation whether earlier improved mortality.

10.1111/1754-9485.13623 article EN cc-by-nc-nd Journal of Medical Imaging and Radiation Oncology 2024-01-31

Abstract Correct catheter position is crucial to ensuring appropriate function of the and avoid complications. This paper describes a dataset consisting 50,612 image level 17,999 manually labelled annotations from 30,083 chest radiographs publicly available NIH ChestXRay14 with annotated segmented endotracheal tubes (ETT), nasoenteric (NET) central venous catheters (CVCs).

10.1038/s41597-021-01066-8 article EN cc-by Scientific Data 2021-10-28

Abstract Introduction There are few female Interventional Radiologists worldwide and this is a significant issue for many countries. little known about the current status attitudes to women in Radiology Australia New Zealand. The purpose of study was explore gender balance, workforce challenges perceptions towards Methods An anonymised voluntary survey exploring demographics opinions on multiple issues conducted. sent all members Society Australasia. Statistical analysis performed using...

10.1111/1754-9485.13397 article EN cc-by-nc-nd Journal of Medical Imaging and Radiation Oncology 2022-03-08

Objective: Radiology has been at the forefront of medical technology including use artificial intelligence (AI) and machine learning. However, there remains scant literature on perspective patients regarding clinical this technology. This study aimed to assess opinion radiology potential involvement AI in their care. Design: A survey was given ambulatory outpatients attending our hospital for imaging. The consisted questions concerning comfort with radiologist reports, entirely in-part...

10.24083/apjhm.v17i1.861 article EN cc-by-nc Asia Pacific Journal of Health Management 2022-04-07

Abstract Introduction It is estimated that 8% of hospitalised patients require treatment from Interventional Radiology (IR). However, little known about the potential impact IR on regional and remote Australians, including Indigenous patients. This study aimed to assess treatments performed by IRs regional/remote predict future workforce governance needs. Methods Single‐centre cross‐sectional at a tertiary Victorian hospital. Patients were identified when they had an advanced between 1...

10.1111/1754-9485.13782 article EN cc-by-nc-nd Journal of Medical Imaging and Radiation Oncology 2024-09-23

Rapid detection of intracranial haemorrhage (ICH) is crucial for assessing patients with neurological symptoms. Prioritising these urgent scans reporting presents a challenge radiologists. Artificial intelligence (AI) offers solution to enable radiologists triage and reduce errors. This study aims evaluate the accuracy an ICH-detection AI software whether it benefits high-volume trauma centre in terms reducing diagnostic A peer review head CT performed prior implementation was conducted...

10.1038/s41598-022-24504-y article EN cc-by Scientific Reports 2022-11-18

Abstract Objectives A 2021 safety alert restricted endovascular gelfoam use in Australia and resulted an embargo on sales to Interventional Radiology departments. This study aimed show that is safe a population of trauma patients with pelvic injury, discuss the basis recent controversies. Methods Retrospective cohort was conducted between 1 January 2010 21 May for who underwent embolization arterial haemorrhage. Primary outcome rate adverse events related intravascular administration....

10.1093/bjr/tqae047 article EN cc-by-nc British Journal of Radiology 2024-02-24

Existing literature from around the world has shown that teaching of Interventional Radiology (IR) to medical students remains suboptimal. Despite calls for improvement at a "grass-roots" level, most IRs find junior doctors have limited or no knowledge IR, and thus reduced awareness potential IR treatments their patients contemplating as future career. The aim this study was survey current assess perception whether wider variety schools are integrating into curriculum, universities all...

10.1186/s42155-022-00344-9 article EN cc-by CVIR Endovascular 2022-12-20

Data analytics application development introduces many challenges including: new roles not in traditional software engineering practices - e.g. data scientists and engineers; use of sophisticated machine learning (ML) model-based approaches; uncertainty inherent the models; interfacing with models to fulfill functionalities; deploying at scale rapid evolution business goals sources. We describe our Big Analytics Modeling Languages (BiDaML) toolset bring all stakeholders around one tool...

10.1145/3377812.3390811 article EN 2020-06-27

Abstract Purpose Uterine artery embolization (UAE) evidence is increasing in the setting of adenomyosis, which shares pathological similarities to endometriosis. Endometriosis characterized by presence endometrium-like tissue outside uterus, and retrograde menstruation hypothesis may account for disease development. In women where fertility no longer desired, hysterectomy can be offered improve pain-related symptoms. The authors hypothesize that this cohort patients similarly respond UAE....

10.1055/s-0043-1768942 article EN cc-by-nc-nd Journal of Clinical Interventional Radiology ISVIR 2023-05-10

Abstract Introduction MRI is commonly accepted as the gold standard imaging technique for identification of isolated discoligamentous injury to cervical spine. Widening anterior disc space (ADW) has been suggested signs longitudinal ligament (ALL). The purpose this study aimed assess accuracy ADW reported on CT a sign ligamentous compared. Methods was performed at level 1 trauma centre. All patients over 5‐year period from January 2015 31 2019 who underwent scan indication and subsequently...

10.1111/1754-9485.13462 article EN Journal of Medical Imaging and Radiation Oncology 2022-08-03
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