Insights

When errors with AI tools inevitably occur, determining where the responsibility lies becomes pivotal. Radiologists are the sixth most likely to be sued amongst all medical specialties.

NLP is a promising technology that has the potential to revolutionize the field of radiology and streamline workflow.

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.