[HTML][HTML] Understanding the factors influencing acceptability of AI in medical imaging domains among healthcare professionals: A scoping review
Background Artificial intelligence (AI) technology has the potential to transform medical
practice within the medical imaging industry and materially improve productivity and patient …
practice within the medical imaging industry and materially improve productivity and patient …
Developing, purchasing, implementing and monitoring AI tools in radiology: practical considerations. A multi-society statement from the ACR, CAR, ESR, RANZCR & …
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 …
possible positive and negative consequences. The integration of AI in radiology holds the …
The impact of artificial intelligence on the reading times of radiologists for chest radiographs
Whether the utilization of artificial intelligence (AI) during the interpretation of chest
radiographs (CXRs) would affect the radiologists' workload is of particular interest …
radiographs (CXRs) would affect the radiologists' workload is of particular interest …
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] Improving chest X-ray report generation by leveraging warm starting
Automatically generating a report from a patient's Chest X-rays (CXRs) is a promising
solution to reducing clinical workload and improving patient care. However, current CXR …
solution to reducing clinical workload and improving patient care. However, current CXR …
Equity within AI systems: What can health leaders expect?
E Gurevich, B El Hassan… - Healthcare management …, 2023 - journals.sagepub.com
Artificial Intelligence (AI) for health has a great potential; it has already proven to be
successful in enhancing patient outcomes, facilitating professional work and benefiting …
successful in enhancing patient outcomes, facilitating professional work and benefiting …
Exploring the capabilities of a lightweight CNN model in accurately identifying renal abnormalities: Cysts, stones, and tumors, using LIME and SHAP
Kidney abnormality is one of the major concerns in modern society, and it affects millions of
people around the world. To diagnose different abnormalities in human kidneys, a narrow …
people around the world. To diagnose different abnormalities in human kidneys, a narrow …
Artificial intelligence in radiography: where are we now and what does the future hold?
Objectives This paper will outline the status and basic principles of artificial intelligence (AI)
in radiography along with some thoughts and suggestions on what the future might hold …
in radiography along with some thoughts and suggestions on what the future might hold …
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 …
Improved productivity using deep learning–assisted reporting for lumbar spine MRI
Background Lumbar spine MRI studies are widely used for back pain assessment.
Interpretation involves grading lumbar spinal stenosis, which is repetitive and time …
Interpretation involves grading lumbar spinal stenosis, which is repetitive and time …