On October 30, President Biden issued an Executive Order establishing new standards for artificial intelligence (AI). The order focuses on safety and security, privacy protections, advancement of equity and civil rights, promotion of innovation and competition and advancing American leadership in AI.
While billion-dollar deals are common in the medtech industry, multi-billion-dollar megadeal acquisitions were still notable in 2022. Often, these deals result in a ripple effect on the industry when two large companies merge. Here we look at some recent examples, the growth drivers behind them and what they mean for the medtech industry.
The goal of the collaboration is to optimize the benefits of PCCPs by supporting predictability and harmonizing regulatory considerations across jurisdictions, and ultimately, put safe and effective advancements in the hands of healthcare providers and users faster.
Change control plans for AI/ML, remanufacturing of devices and medical device shortages are among the guidances the FDA Center for Devices and Radiological Health (CDRH) is prioritizing in 2024. The agency is seeking stakeholder feedback on the list of guidance documents it intends to publish in the coming year.
AI not only improves data collection and analysis, it impacts which products are engaged in clinical trials, determines necessary medical criteria, helps design the trials and can even choose the best participating facilities. The result is, organizations that leverage AI will be more successful and will go to market faster than those that don’t.
Augmented reality (AR), with the help of artificial intelligence (AI), is providing healthcare professionals with the means to offer patients an unprecedented level of care and personalized treatments, and assisting MedTech and life sciences companies in product design and development. Yet, the potential of AR with AI in health care is still far from fully explored.
“This cutting-edge technology empowers us with the ability to navigate complex vascular procedures with greater precision, ensuring optimal outcomes for our patients. We are honored to be a part of this innovative program.”
Sonio Detect, a manufacturer-agnostic software product that uses artificial intelligence (AI) to enhance the quality of fetal exams, and automatically detect views and quality criteria of ultrasound images has been granted FDA clearance.
The use of artificial intelligence in medical device design is already transforming health care. In this article we look at areas of greatest promise as well as the challenges that must be addressed to realize the promise of AI in device design and engineering.
When considering use cases and data classification methods for machine learning, image quality, power consumption and latency must be considered.
