Artificial intelligence in teleradiology: A rapid review of educational and professional contributions
MD Lobo - Handbook of Research on Instructional Technologies …, 2023 - igi-global.com
In recent years, artificial intelligence (AI) has been progressively merging into the daily
practice of many healthcare professionals. Radiology is a branch of medicine that can …
practice of many healthcare professionals. Radiology is a branch of medicine that can …
[HTML][HTML] Concordance of randomised controlled trials for artificial intelligence interventions with the CONSORT-AI reporting guidelines
Abstract The Consolidated Standards of Reporting Trials extension for Artificial Intelligence
interventions (CONSORT-AI) was published in September 2020. Since its publication …
interventions (CONSORT-AI) was published in September 2020. Since its publication …
[HTML][HTML] Computed tomography assessment of coronary atherosclerosis: from threshold-based evaluation to histologically validated plaque quantification
A Varga-Szemes, P Maurovich-Horvat… - Journal of Thoracic …, 2023 - journals.lww.com
Arterial plaque rupture and thrombosis is the primary cause of major cardiovascular and
neurovascular events. The identification of atherosclerosis, especially high-risk plaques, is …
neurovascular events. The identification of atherosclerosis, especially high-risk plaques, is …
Impact of deep learning image reconstruction methods on MRI throughput
A Yang, M Finkelstein, C Koo, AH Doshi - Radiology: Artificial …, 2024 - pubs.rsna.org
Purpose To evaluate the effect of implementing two distinct commercially available deep
learning reconstruction (DLR) algorithms on the efficiency of MRI examinations conducted in …
learning reconstruction (DLR) algorithms on the efficiency of MRI examinations conducted in …
Artificial intelligence and point-of-care ultrasound: Benefits, limitations, and implications for the future
F Kayarian, D Patel, JR O'Brien, EK Schraft… - The American Journal of …, 2024 - Elsevier
The utilization of artificial intelligence (AI) in medical imaging has become a rapidly growing
field as a means to address contemporary demands and challenges of healthcare. Among …
field as a means to address contemporary demands and challenges of healthcare. Among …
[HTML][HTML] Challenges for augmenting intelligence in cardiac imaging
PP Sengupta, D Dey, RH Davies… - The Lancet Digital …, 2024 - thelancet.com
Artificial Intelligence (AI), through deep learning, has brought automation and predictive
capabilities to cardiac imaging. However, despite considerable investment, tangible health …
capabilities to cardiac imaging. However, despite considerable investment, tangible health …
[HTML][HTML] OpenAI's ChatGPT-4, BARD and YOU. Com (AI) and the cancer patient, for now, caveat emptor, but stay tuned
G Tisman, R Seetharam - Digital Medicine and Healthcare …, 2023 - intechopen.com
Abstract ChatGPT-4, BARD, and YOU. com are AI large language models (LLM) developed
by OpenAI based on the GPT-3-4 architecture and Google. They were trained using …
by OpenAI based on the GPT-3-4 architecture and Google. They were trained using …
[HTML][HTML] Systematic review of the performance evaluation of clinicians with or without the aid of machine learning clinical decision support system
M Nuutinen, RL Leskelä - Health and technology, 2023 - Springer
Background For the adoption of machine learning clinical decision support systems (ML-
CDSS) it is critical to understand the performance aid of the ML-CDSS. However, it is not …
CDSS) it is critical to understand the performance aid of the ML-CDSS. However, it is not …
[HTML][HTML] Development and External Validation of an Artificial Intelligence-Based Method for Scalable Chest Radiograph Diagnosis: A Multi-Country Cross-Sectional …
Z Liu, J Xu, C Yin, G Han, Y Che, G Fan, X Li, L Xie… - Research, 2024 - spj.science.org
Problem: Chest radiography is a crucial tool for diagnosing thoracic disorders, but
interpretation errors and a lack of qualified practitioners can cause delays in treatment. Aim …
interpretation errors and a lack of qualified practitioners can cause delays in treatment. Aim …
AI Efficacy as a Function of Trainee Interpreter Proficiency: Lessons from a Randomized Controlled Trial
DA Fussell, CC Tang, J Sternhagen… - American Journal …, 2024 - Am Soc Neuroradiology
ABSTRACT BACKGROUND AND PURPOSE: Recently, AI tools have been deployed with
increasing speed in educational and clinical settings. However, the use of AI by trainees …
increasing speed in educational and clinical settings. However, the use of AI by trainees …