Introduction to artificial intelligence in medicine

Y Mintz, R Brodie - Minimally Invasive Therapy & Allied …, 2019 - Taylor & Francis
Abstract The term Artificial Intelligence (AI) was coined by John McCarthy in 1956 during a
conference held on this subject. However, the possibility of machines being able to simulate …

Interactive and explainable region-guided radiology report generation

T Tanida, P Müller, G Kaissis… - Proceedings of the …, 2023 - openaccess.thecvf.com
The automatic generation of radiology reports has the potential to assist radiologists in the
time-consuming task of report writing. Existing methods generate the full report from image …

MIMIC-CXR, a de-identified publicly available database of chest radiographs with free-text reports

AEW Johnson, TJ Pollard, SJ Berkowitz… - Scientific data, 2019 - nature.com
Chest radiography is an extremely powerful imaging modality, allowing for a detailed
inspection of a patient's chest, but requires specialized training for proper interpretation. With …

MIMIC-CXR-JPG, a large publicly available database of labeled chest radiographs

AEW Johnson, TJ Pollard, NR Greenbaum… - arXiv preprint arXiv …, 2019 - arxiv.org
Chest radiography is an extremely powerful imaging modality, allowing for a detailed
inspection of a patient's thorax, but requiring specialized training for proper interpretation …

Systematic review of artificial intelligence development and evaluation for MRI diagnosis of knee ligament or meniscus tears

SM Santomartino, J Kung, PH Yi - Skeletal Radiology, 2024 - Springer
Objective The purpose of this systematic review was to summarize the results of original
research studies evaluating the characteristics and performance of deep learning models for …

[HTML][HTML] Mimic-cxr-jpg-chest radiographs with structured labels

A Johnson, M Lungren, Y Peng, Z Lu, R Mark… - PhysioNet, 2019 - physionet.org
Abstract The MIMIC Chest X-ray JPG (MIMIC-CXR-JPG) Database v2. 0.0 is a large publicly
available dataset of chest radiographs in JPG format with structured labels derived from free …

Evaluation of an AI-based detection software for acute findings in abdominal computed tomography scans: toward an automated work list prioritization of routine CT …

DJ Winkel, T Heye, TJ Weikert, DT Boll… - Investigative …, 2019 - journals.lww.com
Objective The aim of this study was to test the diagnostic performance of a deep learning-
based triage system for the detection of acute findings in abdominal computed tomography …

Generalist versus subspecialist characteristics of the US radiologist workforce

AB Rosenkrantz, W Wang, DR Hughes, R Duszak Jr - Radiology, 2018 - pubs.rsna.org
Purpose To assess subspecialty practice characteristics of the US radiologist workforce.
Materials and Methods This study used the Medicare Physician and Other Supplier Public …

Performance and usability of code-free deep learning for chest radiograph classification, object detection, and segmentation

SM Santomartino, N Hafezi-Nejad… - Radiology: Artificial …, 2023 - pubs.rsna.org
Purpose To evaluate the performance and usability of code-free deep learning (CFDL)
platforms in creating DL models for disease classification, object detection, and …

Interventional radiology: past, present, and future

CR Weiss, N Hafezi-Nejad - Radiology, 2023 - pubs.rsna.org
Continuous advancements in IR in the past decade have highlighted the need for data-
driven, clinical, and experimental expansion of scientific evidence. Radiology has continued …