Medical device software development teams have always struggled with a deceptively simple question: How much of the system is actually complete?
Not all use cases are good candidates for machine learning. In this column we look at cases where AI/ML may be appropriate and when building a traditional algorithm to solve a problem is a better choice.
A Venture Capitalist recently joked that to fund a startup, all one must do is choose a URL that ends in ‘.ai’. Although he was not serious, it was an acknowledgment that companies pursuing AI are getting much attention, and there is a fear of missing out (FOMO) in the investment community if one of…
“Using Artificial Intelligence and Machine Learning in the Development of Drug and Biological Products” and “Artificial Intelligence in Drug Manufacturing” were developed to support the use of AI/ML while addressing concerns related to security, bias and risk, and spur feedback and discussion from stakeholders.
Opportunities for intelligent computer systems span widely, including extensive use in medical science. Artificial intelligence enhances cognition analysis of complex health issues and improves the diagnoses. However, there are still some challenges in terms of data quality, regulations, market penetration and adaptation.
Modern technology has given rise to new legal questions. How does FDA regulate machine-learning computers that are changing so rapidly – given that the approved product may be drastically different than the product that ends up on the market? These questions arise from a lack of understanding of the complex nature of AI/ML-based SaMD, the opaqueness of the regulatory framework, and a dearth of relevant case law.
A review of common risks and pitfalls of incorporating artificial intelligence in medical devices and an overview of the regulatory framework.
The agency is seeking solutions to rapidly address public health needs related to the pandemic.
Companies developing technologies that integrate AI need to consider regulatory concerns, community demographics, fitting into existing workflows, technical proficiency of both the hospital personnel and consumers.
With the rapid growth of life tech discoveries, there is a need to adapt the patent and regulatory frameworks governing the approval, use, and protection of such discoveries.