Pitfalls in interpretive applications of artificial intelligence in radiology
Interpretive artificial intelligence (AI) tools are poised to change the future of radiology.
However, certain pitfalls may pose particular challenges for optimal AI interpretative …
However, certain pitfalls may pose particular challenges for optimal AI interpretative …
Challenges for augmenting intelligence in cardiac imaging
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] A joint ESTRO and AAPM guideline for development, clinical validation and reporting of artificial intelligence models in radiation therapy
Abstract Background and purpose Artificial Intelligence (AI) models in radiation therapy are
being developed with increasing pace. Despite this, the radiation therapy community has not …
being developed with increasing pace. Despite this, the radiation therapy community has not …
Clinical, cultural, computational, and regulatory considerations to deploy AI in radiology: perspectives of RSNA and MICCAI experts
The Radiological Society of North of America (RSNA) and the Medical Image Computing
and Computer Assisted Intervention (MICCAI) Society have led a series of joint panels and …
and Computer Assisted Intervention (MICCAI) Society have led a series of joint panels and …
Evaluating human-ai collaboration: A review and methodological framework
The use of artificial intelligence (AI) in working environments with individuals, known as
Human-AI Collaboration (HAIC), has become essential in a variety of domains, boosting …
Human-AI Collaboration (HAIC), has become essential in a variety of domains, boosting …
[HTML][HTML] Artificial Intelligence in Head and Neck Cancer: Innovations, Applications, and Future Directions
Artificial intelligence (AI) is revolutionizing head and neck cancer (HNC) care by providing
innovative tools that enhance diagnostic accuracy and personalize treatment strategies. This …
innovative tools that enhance diagnostic accuracy and personalize treatment strategies. This …
Prospective evaluation of artificial intelligence triage of incidental pulmonary emboli on contrast-enhanced CT examinations of the chest or abdomen
BACKGROUND. Artificial intelligence (AI) algorithms improved detection of incidental
pulmonary embolism (IPE) on contrast-enhanced CT (CECT) examinations in retrospective …
pulmonary embolism (IPE) on contrast-enhanced CT (CECT) examinations in retrospective …
Artificial intelligence-enhanced patient evaluation: bridging art and science
The advent of digital health and artificial intelligence (AI) has promised to revolutionize
clinical care, but real-world patient evaluation has yet to witness transformative changes. As …
clinical care, but real-world patient evaluation has yet to witness transformative changes. As …
Evaluation of Reliability, Repeatability, Robustness, and Confidence of GPT-3.5 and GPT-4 on a Radiology Board–style Examination
Background ChatGPT (OpenAI) can pass a text-based radiology board–style examination,
but its stochasticity and confident language when it is incorrect may limit utility. Purpose To …
but its stochasticity and confident language when it is incorrect may limit utility. Purpose To …
Potential strength and weakness of artificial intelligence integration in emergency radiology: A review of diagnostic utilizations and applications in patient care …
Artificial intelligence (AI) and its recent increasing healthcare integration has created both
new opportunities and challenges in the practice of radiology and medical imaging. Recent …
new opportunities and challenges in the practice of radiology and medical imaging. Recent …