Scientific Articles
Clinical Utility
Clinical utility for healthcare providers in curating radiology AI apps
ROI in Radiology
Quantifying the return on investment of radiology AI apps for hospitals
AI in Breast Cancer Screening
Optimizing the efficiency of screening protocols for women with dense breasts
Research Studies ft. Calantic
American Journal of Neuroradiology
Incidence, Risk Factors and Clinical Implications of Subarachnoid Hyperdensities on Flat-Panel Detector Computed Tomography following Mechanical Thrombectomy in Anterior Circulation Acute Ischemic Stroke Patients
Ebooks
Improving Cancer Screening: How AI Empowers Radiologists
- Al apps for detecting Colorectal cancer, Hepatocellular carcinoma and Prostate cancer
- AI-based systems used at various stages in the breast cancer screening process. Based on the research some algorithm could increase breast cancer detection by 12-27%
Artificial Intelligence in Breast Cancer Diagnosis and Screening
- Breast imaging methods including digital mammography, breast tomosynthesis, ultrasound, and MRI
- Impact of AI in technical improvements, diagnostics, breast cancer prediction, and efficiency enhancements.
- Hurdles to the adoption of AI in breast cancer screening and diagnosis and potential paths for future advancements
Artificial Intelligence in Lung Cancer Diagnosis and Screening
- The potential of AI to address lung cancer screening and diagnostic challenges
- Research addressing the difficulties and complexities involved in lung cancer screening
- The impact of AI on identifying high-risk individuals, radiation dose reduction & image quality improvement, lung nodule detection, segmentation, and classification
Artificial Intelligence in Radiology
- Fundamental AI concepts related to radiology
- Promising use cases of AI in Radiology
- How AI can address challenges faced by Radiologists
Artificial Intelligence in Medical Imaging
- Overview of AI applications across the radiology workflow
- Funding, adoption, and regulatory landscape
- Future steps & challenges of AI in medical imaging
Artificial Intelligence Imaging Applications in Neurology
- AI support in the diagnosis of stroke and intracranial hemorrhage
- AI applications that monitor the progression of neurological conditions, like multiple sclerosis and neurodegenerative diseases
- The use of AI in neuro-oncology and the future of more personalized and effective treatment strategies
