The current and future state of AI interpretation of medical images

P Rajpurkar, MP Lungren - New England Journal of Medicine, 2023 - Mass Medical Soc
The Current and Future State of AI Interpretation of Medical Images | New England Journal of
Medicine Skip to main content The New England Journal of Medicine homepage Advanced …

Large language models in radiology: fundamentals, applications, ethical considerations, risks, and future directions

TA D'Antonoli, A Stanzione… - Diagnostic and …, 2024 - pmc.ncbi.nlm.nih.gov
With the advent of large language models (LLMs), the artificial intelligence revolution in
medicine and radiology is now more tangible than ever. Every day, an increasingly large …

Develo**, purchasing, implementing and monitoring AI tools in radiology: practical considerations. A multi-society statement from the ACR, CAR, ESR, RANZCR & …

AP Brady, B Allen, J Chong, E Kotter… - Canadian …, 2024 - journals.sagepub.com
Artificial Intelligence (AI) carries the potential for unprecedented disruption in radiology, with
possible positive and negative consequences. The integration of AI in radiology holds the …

Restructured society and environment: A review on potential technological strategies to control the COVID-19 pandemic

RM Elavarasan, R Pugazhendhi - Science of the Total Environment, 2020 - Elsevier
Abstract The emergence of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-
2) in China at December 2019 had led to a global outbreak of coronavirus disease 2019 …

[HTML][HTML] Teaching, learning and assessing anatomy with artificial intelligence: the road to a better future

H Abdellatif, M Al Mushaiqri, H Albalushi… - International journal of …, 2022 - mdpi.com
Anatomy is taught in the early years of an undergraduate medical curriculum. The subject is
volatile and of voluminous content, given the complex nature of the human body. Students …

Clinical applications of artificial intelligence in radiology

C Mello-Thoms, CAB Mello - The British Journal of Radiology, 2023 - academic.oup.com
The rapid growth of medical imaging has placed increasing demands on radiologists. In this
scenario, artificial intelligence (AI) has become an attractive partner, one that may …

[HTML][HTML] Artificial intelligence in emergency radiology: a review of applications and possibilities

BD Katzman, CB van der Pol, P Soyer… - … and Interventional Imaging, 2023 - Elsevier
Artificial intelligence (AI) applications in radiology have been rising exponentially in the last
decade. Although AI has found usage in various areas of healthcare, its utilization in the …

AI-RADS: an artificial intelligence curriculum for residents

AL Lindqwister, S Hassanpour, PJ Lewis, JM Sin - Academic radiology, 2021 - Elsevier
Rationale and Objectives Artificial intelligence (AI) has rapidly emerged as a field poised to
affect nearly every aspect of medicine, especially radiology. A PubMed search for the terms …

Chest x-ray images for lung disease detection using deep learning techniques: a comprehensive survey

MAA Al-qaness, J Zhu, D AL-Alimi, A Dahou… - … Methods in Engineering, 2024 - Springer
In medical imaging, the last decade has witnessed a remarkable increase in the availability
and diversity of chest X-ray (CXR) datasets. Concurrently, there has been a significant …

How AI may transform musculoskeletal imaging

A Guermazi, P Omoumi, M Tordjman, J Fritz, R Kijowski… - Radiology, 2024 - pubs.rsna.org
While musculoskeletal imaging volumes are increasing, there is a relative shortage of
subspecialized musculoskeletal radiologists to interpret the studies. Will artificial intelligence …