Black box no more: a scoping review of AI governance frameworks to guide procurement and adoption of AI in medical imaging and radiotherapy in the UK

N Stogiannos, R Malik, A Kumar… - The British Journal of …, 2023 - academic.oup.com
Technological advancements in computer science have started to bring artificial intelligence
(AI) from the bench closer to the bedside. While there is still lots to do and improve, AI …

Systematic review of radiologist and medical student attitudes on the role and impact of AI in radiology

SM Santomartino, HY Paul - Academic radiology, 2022 - Elsevier
Rationale and Objectives The introduction of AI in radiology has prompted both excitement
and hesitation within the field. We performed a systematic review of original studies …

Artificial intelligence literacy: developing a multi-institutional infrastructure for AI education

JD Perchik, AD Smith, AA Elkassem, JM Park… - Academic radiology, 2023 - Elsevier
Rationale and Objectives To evaluate the effectiveness of an artificial intelligence (AI) in
radiology literacy course on participants from nine radiology residency programs in the …

Artificial intelligence education for radiographers, an evaluation of a UK postgraduate educational intervention using participatory action research: a pilot study

R van de Venter, E Skelton, J Matthew, N Woznitza… - Insights into …, 2023 - Springer
Background Artificial intelligence (AI)-enabled applications are increasingly being used in
providing healthcare services, such as medical imaging support. Sufficient and appropriate …

Systematic review of radiology residency artificial intelligence curricula: preparing future radiologists for the artificial intelligence era

SP Garin, V Zhang, J Jeudy, VS Parekh… - Journal of the American …, 2023 - Elsevier
Objective Although educating radiology trainees about artificial intelligence (AI) has become
increasingly emphasized, the types of AI educational curricula are not well understood. We …

ChatGPT-assisted deep learning model for thyroid nodule analysis: beyond artifical intelligence

I Mese, NG Inan, O Kocadagli… - Medical …, 2023 - medultrason.ro
Aims: To develop a deep learning model, with the aid of ChatGPT, for thyroid nodules,
utilizing ultrasound images. The cytopathology of the fine needle aspiration biopsy (FNAB) …

Going Global: Scaling the Artificial Intelligence Literacy Course to an International Audience

JD Perchik, H Sotoudeh… - Journal of …, 2024 - publishing.escholarship.umassmed …
Introduction: Applications of artificial intelligence (AI) in radiology continue to increase every
year, however most radiology residencies lack a dedicated AI education curriculum …

[PDF][PDF] Simple, Flexible Method to Extract Digital Image Features.

MS Khrisat, HG Zaini, ZA Alqadi - Traitement du Signal, 2021 - researchgate.net
Accepted: 26 July 2021 The process of digital image features extraction is very important
and it is required in many applications such as classification, prediction and regression. The …

[引用][C] Teaching artificial intelligence literacy: a challenge in the education of radiology residents

C Mello-Thoms - Academic Radiology, 2023 - academicradiology.org
T he growth of cross-sectional imaging (particularly MR and CT) has contributed significantly
to increase the workload of radiologists, particularly due to larger datasets to interpret in a …