Artificial Intelligence (AI) has incredible potential to transform healthcare; however, this requires a strategic approach in terms of adoption and implementation. The concept of an AI platform provides a scalable solution, with the potential for long-term implications for the field. Such a platform allows for collaboration across various health system stakeholders, with AI impacting the…
With a multitude of options available, beginning the journey with AI Healthcare Companies can be daunting. These companies promise unique benefits and workflow enhancements by utilizing AI. They cater to various sub-specialties, like surgical robotics, fintech and insurance, diagnostics, cybersecurity, text analysis, and conversational AI/bots.
AI holds the promise of improving and quickening clinical workflows,…
The importance of artificial intelligence (AI) in clinical settings has grown significantly, sparking discussions on best practice for AI governance structures and identifying key stakeholders in building a long-lasting AI strategy. Specifically, radiologists have been at the forefront of embracing AI, acknowledging the potential it holds to transform their workflows, such as reducing reading times…
Sarah, a 45-year-old woman suffering from troubling symptoms, represents the difficulties faced in a fragmented healthcare system. With a family history of severe medical issues, she's referred by her primary care physician to a variety of specialists. However, her records frequently get lost or misinterpreted in the process, leading to incomplete data about her overall…
The Modern Healthcare Digital Health Summit recently highlighted the value of a strategic approach to maximizing AI's impact in the healthcare industry, improving cross-departmental efficiency, and enabling preventative care. Aidoc CEO Elad Walach shared his views on the evolving landscape of clinical AI in a conversation with journalist Gabriel Perna.
Walach pointed out the setbacks of…
Data drift is a phenomena that impacts any AI model in current operation. It is essentially a change in the features distribution an AI model receives while it's in production, thereby leading to a decline in the model's performance. A visible impact in imaging AI, for instance, could be an algorithm becoming less reliable at…
Artificial Intelligence (AI) is currently experiencing a surge in popularity and is gaining recognition for its impact on numerous industries. One of the areas where AI has been less highlighted but is increasingly being leveraged is in healthcare. Contrary to common misconceptions of AI as robotic physicians, AI in healthcare is more accurately described as…
Today's healthcare landscape is inundated with vast amounts of patient data due to the digitalization of healthcare. However, a large issue exists as much of this data remains unstructured, leading to difficulties in extracting valuable insights. This problem is discussed in detail in the segment of our whitepaper, The Clinical AI Scorecard: How Different Integration…