Government Unveils Β£1.5 Billion Initiative to Alleviate NHS Elective Waiting Lists
Government allocates Β£1.5 billion to tackle NHS waiting lists, aiming for two million extra appointments annually. π₯π°
October 29, 2024
Follow us
latest articles
Discover the newest research about AI innovations in π§ͺ Pathology.
An update on pancreatic cancer imaging, staging and use of the PACT-UK radiology template pre- and post-neoadjuvant treatment.
Recent advances in pancreatic cancer imaging and staging offer hope. We reviewed a PubMed article on this topic. π©»β¨
October 27, 2024
Machine learning-based new classification for immune infiltration of gliomas.
New machine learning model classifies glioma immune subtypes, revealing insights into tumor microenvironment and immunotherapy potential. π§ π
October 26, 2024
Siloam Hospitals Enhances AI Integration Through New Partnerships
Siloam Hospitals partners with Philips to enhance AI in healthcare. π€π Focus areas include radiology, telemedicine, and training.
October 14, 2024
Preoperative Prediction of Her-2 and Ki-67 Status in Gastric Cancer Using 18F-FDG PET/CT Radiomics Features of Visceral Adipose Tissue.
Recent research highlights the potential of 18F-FDG PET/CT radiomics in predicting Her-2 and Ki-67 status in gastric cancer. ππ
September 30, 2024
Imaging colonic polyps in 2024.
Colonoscopy is vital for colorectal cancer prevention. Recent advances in imaging techniques enhance polyp detection and management. π©Ίπ
September 30, 2024
Harnessing the Power of Generative Artificial Intelligence in Pathology Education.
Generative AI is transforming pathology education, enhancing learning experiences and accessibility. Ethical considerations are crucial. ππ€
September 30, 2024
Deep radiomics-based prognostic prediction of oral cancer using optical coherence tomography.
New research highlights the role of optical coherence tomography in predicting oral cancer prognosis using deep learning. ππ¦·
September 20, 2024
Classification of cervical vertebral maturation stages with machine learning models: leveraging datasets with high inter- and intra-observer agreement.
Machine learning models effectively classify cervical vertebral maturation stages, achieving up to 77.4% accuracy. ππ¦΄
September 16, 2024