Artificial intelligence in health care: brave new world or golden opportunity?

K Dreyer, B Allen - Journal of the American College of Radiology, 2018 - jacr.org
Artificial Intelligence in Health Care: Brave New World or Golden Opportunity? - Journal of the
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A roadmap for foundational research on artificial intelligence in medical imaging: from the 2018 NIH/RSNA/ACR/The Academy Workshop

CP Langlotz, B Allen, BJ Erickson, J Kalpathy-Cramer… - Radiology, 2019 - pubs.rsna.org
Imaging research laboratories are rapidly creating machine learning systems that achieve
expert human performance using open-source methods and tools. These artificial …

Intelligent imaging in nuclear medicine: the principles of artificial intelligence, machine learning and deep learning

G Currie, E Rohren - Seminars in Nuclear Medicine, 2021 - Elsevier
The emergence of artificial intelligence (AI) in nuclear medicine has occurred over the last
50 years but more recent developments in machine learning (ML) and deep learning (DL) …

Artificial Intelligence in Medical Field

I Fatima, V Grover, IR Khan, N Ahmad… - … on Pervasive Health …, 2023 - publications.eai.eu
In the healthcare industry artificial intelligence (AI) has become a disruptive technology that
is revolutionizing patient care, diagnostics, and research. This abstract provides an overview …

[PDF][PDF] Artificial intelligence and radiology: collaboration is key

HY Paul, FK Hui, DSW Ting - Journal of the American College of …, 2018 - academia.edu
Artificial intelligence (AI) and deep learning have been met with great interest by both the
medical and nonmedical community [1, 2]. Within medicine, deep learning has …

Artificial intelligence and radiology: have rumors of the radiologist's demise been greatly exaggerated?

T Nawrocki, PD Maldjian, SE Slasky, SG Contractor - 2018 - Elsevier
Artificial intelligence is a rapidly evolving computerized technology affecting multiple aspects
of our lives. It is predicted that artificial intelligence will lead to a fundamental change in …

[HTML][HTML] The ethical matrix as a method for involving people living with disease and the wider public (PPI) in near-term artificial intelligence research

BS Kelly, A Kirwan, MS Quinn, AM Kelly, P Mathur… - Radiography, 2023 - Elsevier
Introduction The rapid pace of research in the field of Artificial Intelligence in medicine has
associated risks for near-term AI. Ethical considerations of the use of AI in medicine remain a …

Artificial intelligence tools in clinical neuroradiology: essential medico-legal aspects

DM Hedderich, C Weisstanner, S Van Cauter… - Neuroradiology, 2023 - Springer
Commercial software based on artificial intelligence (AI) is entering clinical practice in
neuroradiology. Consequently, medico-legal aspects of using Software as a Medical Device …

[PDF][PDF] Artificial Intelligence Algorithms Need to Be Explainable—or Do They?

TJ Bradshaw, MD McCradden, AK Jha… - Journal of Nuclear …, 2023 - Soc Nuclear Med
With the growing role of artificial intelligence (AI) in radiology, there is concern over the black-
box nature of modern AI algorithms. Users of AI often have no way of knowing how or why …

Implementation of clinical artificial intelligence in radiology: who decides and how?

D Daye, WF Wiggins, MP Lungren, T Alkasab, N Kottler… - Radiology, 2022 - pubs.rsna.org
As the role of artificial intelligence (AI) in clinical practice evolves, governance structures
oversee the implementation, maintenance, and monitoring of clinical AI algorithms to …