During National Prostate Cancer Awareness Month, Ferrum Health affirms its commitment to positively impact the 1 in 8 men who will be diagnosed with prostate cancer in his lifetime.
Artificial intelligence (AI) will change the way radiology is practiced. While AI has the potential to significantly improve patient care, there are also concerns that it may adversely alter radiologist behavior and productivity.
Ferrum Health developed an Enterprise AI deployment platform to improve patient outcomes by democratizing health systems’ access to the most innovative and impactful clinical AI technologies worldwide. The solution provides a private, end-to-end AI environment able to run countless applications across many service lines and seamlessly integrate clinical imaging and administrative data.
Radiologists play a key role in cancer detection and AI can be an invaluable tool in assisting with the identification of cancer in medical imaging studies.
As the field of AI in medicine continues to evolve, it is essential that payment models follow suit. Therefore, collaboration among stakeholders, payers, and regulatory bodies is crucial.
The current standard of care for cancer treatment is based on a one-size-fits-all approach, which often leads to suboptimal outcomes for patients. However, the horizon holds a potential game-changer: AI-driven radiomics.
In this blog post, we will explore the ethical issues surrounding this topic, with a particular focus on justice and rights to AI access drawing upon insights from an interview with Dr. Eric Keller, Senior IR Resident at Stanford, and an expert in medical ethics.
In this week’s Domain Knowledge we explore the need for quality standardization, what it means and how it can be best established in the ever-changing field of healthcare AI.
This week’s domain knowledge focuses on selecting the right healthcare AI partner. This is a critical decision that can significantly impact patient care, operational efficiency, and the overall success of the health system.
This week’s Domain Knowledge explores ways radiologists can incorporate AI in their practice.
AI has made significant inroads in various therapeutic areas, with cancer care benefiting greatly from this powerful technology.
AI is poised to become a revolutionary force in healthcare. From the early identification of cancer to the treatment of chronic diseases, there are limitless opportunities for leveraging AI in radiology to ensure more equitable and efficient patient care.
Use the button below to download your free case study and learn how our approach to validation has improved the number of clinically significant findings in AI software.
Use the button below to download your free case study and learn how our approach to validation has improved the number of clinically significant findings in AI software.