[HTML][HTML] Deep learning for chest X-ray analysis: A survey
E Çallı, E Sogancioglu, B van Ginneken… - Medical Image …, 2021 - Elsevier
Recent advances in deep learning have led to a promising performance in many medical
image analysis tasks. As the most commonly performed radiological exam, chest …
image analysis tasks. As the most commonly performed radiological exam, chest …
Value-added opportunistic CT screening: state of the art
PJ Pickhardt - Radiology, 2022 - pubs.rsna.org
Opportunistic CT screening leverages robust imaging data embedded within abdominal and
thoracic scans that are generally unrelated to the specific clinical indication and have …
thoracic scans that are generally unrelated to the specific clinical indication and have …
Robust and data-efficient generalization of self-supervised machine learning for diagnostic imaging
Abstract Machine-learning models for medical tasks can match or surpass the performance
of clinical experts. However, in settings differing from those of the training dataset, the …
of clinical experts. However, in settings differing from those of the training dataset, the …
The need to separate the wheat from the chaff in medical informatics: Introducing a comprehensive checklist for the (self)-assessment of medical AI studies
F Cabitza, A Campagner - International Journal of Medical Informatics, 2021 - Elsevier
This editorial aims to contribute to the current debate about the quality of studies that apply
machine learning (ML) methodologies to medical data to extract value from them and …
machine learning (ML) methodologies to medical data to extract value from them and …
How does artificial intelligence in radiology improve efficiency and health outcomes?
Since the introduction of artificial intelligence (AI) in radiology, the promise has been that it
will improve health care and reduce costs. Has AI been able to fulfill that promise? We …
will improve health care and reduce costs. Has AI been able to fulfill that promise? We …
Computer vision in surgery: from potential to clinical value
Hundreds of millions of operations are performed worldwide each year, and the rising
uptake in minimally invasive surgery has enabled fiber optic cameras and robots to become …
uptake in minimally invasive surgery has enabled fiber optic cameras and robots to become …
Comparative performance of ChatGPT and Bard in a text-based radiology knowledge assessment
Purpose Bard by Google, a direct competitor to ChatGPT, was recently released.
Understanding the relative performance of these different chatbots can provide important …
Understanding the relative performance of these different chatbots can provide important …
Non-task expert physicians benefit from correct explainable AI advice when reviewing X-rays
Artificial intelligence (AI)-generated clinical advice is becoming more prevalent in
healthcare. However, the impact of AI-generated advice on physicians' decision-making is …
healthcare. However, the impact of AI-generated advice on physicians' decision-making is …
[HTML][HTML] Trustworthy AI: closing the gap between development and integration of AI systems in ophthalmic practice
C González-Gonzalo, EF Thee, CCW Klaver… - Progress in retinal and …, 2022 - Elsevier
An increasing number of artificial intelligence (AI) systems are being proposed in
ophthalmology, motivated by the variety and amount of clinical and imaging data, as well as …
ophthalmology, motivated by the variety and amount of clinical and imaging data, as well as …
Robust and efficient medical imaging with self-supervision
Recent progress in Medical Artificial Intelligence (AI) has delivered systems that can reach
clinical expert level performance. However, such systems tend to demonstrate sub-optimal" …
clinical expert level performance. However, such systems tend to demonstrate sub-optimal" …