AAMI and the British Standards Institute (BSI) have jointly published new guidance documents on performing risk management for machine learning or artificial intelligence incorporating medical devices.
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…
An adhesive developer explains why skin is so challenging to adhere to, why it’s never too early to explore skin-adhesive options for your wearable device, and recent milestones in stick-to-skin adhesive longevity.
Smart hospitals are revolutionizing health care with the help of AI, IoT and robotics. Following are the latest technology and data analytics tools and trends that are helping these hospitals of the future provide safer, more personalized care.
Regulatory requirements for computer systems validation (CSV) have long been in place, but their compliance requires considerable time and resources. In the life sciences industry, traditional validation processes add to project timelines and costs, affecting time to market and preventing the deployment of newer versions of software. In addition to improving accuracy and coverage, automated CSV processes can create the same artifacts as manual execution and expedite the upgrade timeline.
“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.
The draft guidance covers DCT design, informed consent, the use of remote clinical trial visits, safety monitoring and software used in conducting DCTs for drugs, biological products, and devices. The comment period is open until August 1, 2023.
The UK MHRA has published “Software and Artificial Intelligence as a Medical Device.” The guidance document assembles previous guidances and regulatory requirements for SaMD and AIaMD devices seeking commercialization in the UK market.
Connected devices already enable remote patient monitoring by collecting real-time data, such as injection date and time. With time, these benefits are likely to grow. Following are three areas where manufacturers are exploring new uses of digitalization in drug delivery to better understand the needs of patients and healthcare professionals and create more effective devices.
Internet-enabled medical technologies have significantly improved the standard of care. They have also introduced a range of challenges for healthcare practitioners, administrators, and patients. The good news is these issues can be mitigated—or, in some cases, eliminated—in the engineering and design phase. Following are five key considerations for manufacturers to help foster connected healthcare’s continued acceleration.
