Geoffrey Currie

ORCID: 0000-0002-6180-8586
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About
Contact & Profiles
Research Areas
  • Medical Imaging Techniques and Applications
  • Radiomics and Machine Learning in Medical Imaging
  • Radiation Dose and Imaging
  • Artificial Intelligence in Healthcare and Education
  • Advanced X-ray and CT Imaging
  • Cardiac Imaging and Diagnostics
  • Radiology practices and education
  • Advanced Radiotherapy Techniques
  • Advances in Oncology and Radiotherapy
  • Radiopharmaceutical Chemistry and Applications
  • Advanced MRI Techniques and Applications
  • Cerebrovascular and Carotid Artery Diseases
  • Prostate Cancer Diagnosis and Treatment
  • AI in cancer detection
  • Gastrointestinal Bleeding Diagnosis and Treatment
  • Cardiovascular Health and Disease Prevention
  • Medical Imaging and Pathology Studies
  • Innovations in Medical Education
  • Cardiovascular Function and Risk Factors
  • Social Media in Health Education
  • Higher Education Learning Practices
  • Complementary and Alternative Medicine Studies
  • Ultrasound in Clinical Applications
  • Prostate Cancer Treatment and Research
  • Gastrointestinal disorders and treatments

Charles Sturt University
2016-2025

Baylor College of Medicine
2020-2025

John Wiley & Sons (United States)
2023

Regis University
2017-2019

Macquarie University
2010-2018

Government of Western Australia Department of Health
2014

Wheeling Jesuit University
2014

Wagga Wagga Base Hospital
2011

GTx (United States)
2011

In-Q-Tel
2004-2005

10.1007/s00259-020-04678-1 article EN European Journal of Nuclear Medicine and Molecular Imaging 2020-01-11

Academic integrity has been challenged by artificial intelligence algorithms in teaching institutions, including those providing nuclear medicine training. The GPT 3.5–powered ChatGPT chatbot released late November 2022 emerged as an immediate threat to academic and scientific writing. <b>Methods:</b> Both examinations written assignments for courses were tested using ChatGPT. Included was a mix of core theory subjects offered the second third years science course. Long-answer–style...

10.2967/jnmt.123.265844 article EN Journal of Nuclear Medicine Technology 2023-07-11

The GPT-3.5–powered ChatGPT was released in late November 2022 powered by the generative pretrained transformer (GPT) version 3.5. It has emerged as a readily accessible source of patient information ahead medical procedures. Although purported benefits for supporting education and information, actual capability not been evaluated. Moreover, March 2023 emergence paid subscription access to GPT-4 promises further enhanced capabilities requiring evaluation. <b>Methods:</b> used generate sheets...

10.2967/jnmt.123.266151 article EN Journal of Nuclear Medicine Technology 2023-09-12

Generative artificial intelligence (AI) algorithms for both text-to-text and text-to-image applications have seen rapid widespread adoption in the general medical communities. While limitations of generative AI been widely reported, there remain valuable patient professional Here, biases are explored using purported imaging as case examples. A direct comparison capabilities four common is reported recommendations most appropriate use, DALL-E 3, justified. The risks use outlined, guidelines...

10.1053/j.semnuclmed.2024.05.005 article EN cc-by Seminars in Nuclear Medicine 2024-06-01

This review aims to arm readers with a deep understanding of pharmacokinetics digoxin.Pharmacology and pharmacokinetic references texts, peer reviewed medical journal manuscripts indexed on Medline included based currency, accuracy appropriateness.Physiologic changes disease associated aging have an impact pharmacodynamics medications. Altered drug response increased adverse reactions are common amongst the elderly. The narrow therapeutic index digoxin increases risk toxicity. In population,...

10.2174/1874192401105010130 article EN cc-by The Open Cardiovascular Medicine Journal 2011-06-15

ChatGPT chatbot powered by GPT 3.5 was released in late November 2022 but has been rapidly assimilated into educational and clinical environments. <b>Method:</b> Insight capabilities undertaken an interview-style approach with the itself. <b>Results:</b> exudes confidence its supporting enhancing student learning nuclear medicine practice. is also self-aware of limitations flaws risks these pose to academic integrity. <b>Conclusion:</b> Further objective evaluation authentic scenarios required.

10.2967/jnmt.123.265864 article EN Journal of Nuclear Medicine Technology 2023-07-11

Computational nuclear oncology for precision radiopharmaceutical therapy (RPT) is a new frontier theranostic treatment personalization. A key strategy relies on the possibility to incorporate clinical, biomarker, image-based, and dosimetric information in digital twins (TDTs) of patients move beyond one-size-fits-all approach. The TDT framework enables optimization by real-time monitoring real-world system, simulation different scenarios, prediction resulting outcomes, as well facilitating...

10.2967/jnumed.124.268186 article EN cc-by Journal of Nuclear Medicine 2025-01-23

Radiopharmaceutical therapy (RPT), with its targeted delivery of cytotoxic ionizing radiation, demonstrates significant potential for treating a wide spectrum malignancies, particularly unique benefits metastatic disease. There is an opportunity to optimize RPTs and enhance the precision theranostics by moving beyond one-size-fits-all approach using patient-specific image-based dosimetry personalized treatment planning. Such approach, however, requires accurate methods tools mathematic...

10.2967/jnumed.124.267927 article EN Journal of Nuclear Medicine 2025-02-13
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