Telehealth Enhances Hepatitis C Treatment Outcomes in Rural Areas
Telehealth improves hepatitis C treatment success in rural areas, with 85% enrollment via digital platforms. π±π
December 2, 2024
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Discover the newest research about AI innovations in π¦ Epidemiology.
Automatic localization and deep convolutional generative adversarial network-based classification of focal liver lesions in computed tomography images: A preliminary study.
A new study reveals a deep learning system for accurately diagnosing liver lesions in CT images. π€π©»
November 15, 2024
Detecting the impact of diagnostic procedures in Pap-positive women on anxiety using artificial neural networks.
Anxiety in Pap-positive women can increase post-diagnostic procedures. π€ Artificial neural networks help predict this anxiety. π§
November 1, 2024
Precision Epidemiology: A Computational Analysis of the Impact of Algorithmic Prediction on the Relationship Between Population Epidemiology and Clinical Epidemiology.
Exploring the shift in epidemiology: clinical practices embrace machine learning, while population studies lag behind. ππ
October 23, 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
AI Achieves Comparable Accuracy to Radiologists in Brain Tumor MRI Analysis
AI shows promising accuracy in brain tumor MRI analysis, matching radiologists’ performance. π€π§ Future implications for diagnostics are significant.
October 9, 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
[Progress in application of machine learning in epidemiology].
Machine learning is transforming epidemiology, enhancing disease diagnosis and risk prediction. We reviewed a PubMed article on this progress. ππ€
September 30, 2024
Machine Learning-Based Approach for Identifying Research Gaps: COVID-19 as a Case Study.
A machine learning approach identifies COVID-19 research gaps, highlighting six key topics for future exploration. ππ
September 15, 2024