[HTML][HTML] Diagnostic accuracy of deep learning in medical imaging: a systematic review and meta-analysis
Deep learning (DL) has the potential to transform medical diagnostics. However, the
diagnostic accuracy of DL is uncertain. Our aim was to evaluate the diagnostic accuracy of …
diagnostic accuracy of DL is uncertain. Our aim was to evaluate the diagnostic accuracy of …
[HTML][HTML] Redefining radiology: a review of artificial intelligence integration in medical imaging
R Najjar - Diagnostics, 2023 - mdpi.com
This comprehensive review unfolds a detailed narrative of Artificial Intelligence (AI) making
its foray into radiology, a move that is catalysing transformational shifts in the healthcare …
its foray into radiology, a move that is catalysing transformational shifts in the healthcare …
Artificial intelligence-supported screen reading versus standard double reading in the Mammography Screening with Artificial Intelligence trial (MASAI): a clinical …
K Lång, V Josefsson, AM Larsson, S Larsson… - The Lancet …, 2023 - thelancet.com
Background Retrospective studies have shown promising results using artificial intelligence
(AI) to improve mammography screening accuracy and reduce screen-reading workload; …
(AI) to improve mammography screening accuracy and reduce screen-reading workload; …
[HTML][HTML] Artificial intelligence for breast cancer detection in screening mammography in Sweden: a prospective, population-based, paired-reader, non-inferiority study
Background Artificial intelligence (AI) as an independent reader of screening mammograms
has shown promise, but there are few prospective studies. Our aim was to conduct a …
has shown promise, but there are few prospective studies. Our aim was to conduct a …
[HTML][HTML] The role of artificial intelligence in early cancer diagnosis
B Hunter, S Hindocha, RW Lee - Cancers, 2022 - mdpi.com
Simple Summary Diagnosing cancer at an early stage increases the chance of performing
effective treatment in many tumour groups. Key approaches include screening patients who …
effective treatment in many tumour groups. Key approaches include screening patients who …
Use of artificial intelligence for image analysis in breast cancer screening programmes: systematic review of test accuracy
Objective To examine the accuracy of artificial intelligence (AI) for the detection of breast
cancer in mammography screening practice. Design Systematic review of test accuracy …
cancer in mammography screening practice. Design Systematic review of test accuracy …
International evaluation of an AI system for breast cancer screening
Screening mammography aims to identify breast cancer at earlier stages of the disease,
when treatment can be more successful. Despite the existence of screening programmes …
when treatment can be more successful. Despite the existence of screening programmes …
Designing deep learning studies in cancer diagnostics
A Kleppe, OJ Skrede, S De Raedt, K Liestøl… - Nature Reviews …, 2021 - nature.com
The number of publications on deep learning for cancer diagnostics is rapidly increasing,
and systems are frequently claimed to perform comparable with or better than clinicians …
and systems are frequently claimed to perform comparable with or better than clinicians …
[HTML][HTML] Artificial intelligence for clinical trial design
Clinical trials consume the latter half of the 10 to 15 year, 1.5–2.0 billion USD, development
cycle for bringing a single new drug to market. Hence, a failed trial sinks not only the …
cycle for bringing a single new drug to market. Hence, a failed trial sinks not only the …
[HTML][HTML] Application of artificial intelligence in medicine: an overview
Artificial intelligence (AI) is a new technical discipline that uses computer technology to
research and develop the theory, method, technique, and application system for the …
research and develop the theory, method, technique, and application system for the …