AI in pathology: what could possibly go wrong?
The field of medicine is undergoing rapid digital transformation. Pathologists are now
striving to digitize their data, workflows, and interpretations, assisted by the enabling …
striving to digitize their data, workflows, and interpretations, assisted by the enabling …
MRI advancements in musculoskeletal clinical and research practice
Over the past decades, MRI has become increasingly important for diagnosing and
longitudinally monitoring musculoskeletal disorders, with ongoing hardware and software …
longitudinally monitoring musculoskeletal disorders, with ongoing hardware and software …
Understanding and mitigating bias in imaging artificial intelligence
Artificial intelligence (AI) algorithms are prone to bias at multiple stages of model
development, with potential for exacerbating health disparities. However, bias in imaging AI …
development, with potential for exacerbating health disparities. However, bias in imaging AI …
National cancer institute imaging data commons: toward transparency, reproducibility, and scalability in imaging artificial intelligence
The remarkable advances of artificial intelligence (AI) technology are revolutionizing
established approaches to the acquisition, interpretation, and analysis of biomedical …
established approaches to the acquisition, interpretation, and analysis of biomedical …
Challenges of implementing computer-aided diagnostic models for neuroimages in a clinical setting
Advances in artificial intelligence have cultivated a strong interest in developing and
validating the clinical utilities of computer-aided diagnostic models. Machine learning for …
validating the clinical utilities of computer-aided diagnostic models. Machine learning for …
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 …
Performance of a breast cancer detection AI algorithm using the personal performance in mammographic screening scheme
Y Chen, AG Taib, IT Darker, JJ James - Radiology, 2023 - pubs.rsna.org
Background The Personal Performance in Mammographic Screening (PERFORMS) scheme
is used to assess reader performance. Whether this scheme can assess the performance of …
is used to assess reader performance. Whether this scheme can assess the performance of …
Value creation through artificial intelligence and cardiovascular imaging: a scientific statement from the American Heart Association
Multiple applications for machine learning and artificial intelligence (AI) in cardiovascular
imaging are being proposed and developed. However, the processes involved in …
imaging are being proposed and developed. However, the processes involved in …
AI in orthodontics: Revolutionizing diagnostics and treatment planning—A comprehensive review
N Kazimierczak, W Kazimierczak, Z Serafin… - Journal of Clinical …, 2024 - mdpi.com
The advent of artificial intelligence (AI) in medicine has transformed various medical
specialties, including orthodontics. AI has shown promising results in enhancing the …
specialties, including orthodontics. AI has shown promising results in enhancing the …
Comparison of commercial AI software performance for radiograph lung nodule detection and bone age prediction
Background Multiple commercial artificial intelligence (AI) products exist for assessing
radiographs; however, comparable performance data for these algorithms are limited …
radiographs; however, comparable performance data for these algorithms are limited …