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Batch Reading in Breast Cancer Screening Cuts False Positives and Speeds Diagnosis
November 2024
This observational study analysed over 120,000 DBT examinations to understand how radiologists’ performance changes during batch reading.
Read more
28 Apr 2022
Can Ultrasound Imaging Assess Malignancy in Ovarian Cancer?
Novel study findings have highlighted how the appearance of ovarian lesions on ultrasound can be an effective predictor of cancer risk…
28 Apr 2022
Increasing Efficiencies Through a Novel Approach to AI-Integrated Medical Imaging
Artificial imaging has been implemented into medical imaging to enhance the precision and reliability of diagnosis…
4 Feb 2022
Could Hip Dysplasia in Infants Be Predicted by Ultrasound?
A novel ultrasound technique could precisely predict which infants diagnosed with hip dysplasia will have a normal hip structure…
4 Feb 2022
Novel Blood Test Combined with MRI in Prostate Cancer Screening
A new blood test alongside MRI could minimise the cost of prostate cancer screening, as well as the overdiagnosis of low-risk cancer…
29 Oct 2021
Different Types of Paediatric Myelitis Can Be Distinguished by MRI Features
DISTINGUISHING between different conditions of the spine is important in order to provide patients with the correct diagnosis and treatment…
29 Oct 2021
Could MR-Guided Ultrasound Improve Drug Delivery to Treat Brain Metastases?
MR-guided focused ultrasound improved delivery of trastuzumab to the brain. Consequently, the drug was able to reduce the size of the tumour…
6 Aug 2021
Echocardiography: The Key to Virtual Heart Technology?
Digital twin technology is one of the latest developments in the field of cardiology developed to test the impact of interventions on the specific patient.
6 Aug 2021
Could Artificial Intelligence Shortcuts Misdiagnose COVID-19?
ARTIFICIAL intelligence (AI) is emerging as a promising innovative technique that may soon become an essential part of the diagnosis and treatment of disease. New evidence, however, has surfaced revealing the danger of disease misdiagnosis by clinical AI models.
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