The future of healthcare depends on cross-sector collaboration among regulatory, commercial, R&D, and business development ...

The two companies announced co-marketing initiatives and technical integration among their advanced intravascular imaging ...

New partnerships mark a significant step forward in expanding the MedTech industry’s adoption of Enlil’s agentic AI-assisted ...

When hardware and firmware are developed by separate vendors, diagnosing issues like symptoms of non-performance becomes slower and more complex. Unified engineering teams are essential to MedTech ...

Once a cost to the business, now field service is re-writing the rules for healthcare organizations.

Titanium has become a vital material in modern medicine due to its strength, light weight, corrosion resistance, and exceptional biocompatibility with high long-term success rates and minimal risk of ...

Billions of dollars are lost annually in medical billing errors resulting from data entry mistakes, outdated coding practices, and duplicated charges. Artificial Intelligence (AI) and Machine Learning ...

A review of common risks and pitfalls of incorporating artificial intelligence in medical devices and an overview of the regulatory framework.

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 ...

Among the many lessons from the COVID-19 pandemic, it’s clear that the future of healthcare belongs to those who can harness science and technology—sometimes rapidly—to improve population health ...

As technology component pricing continues to rise, MedTech manufacturers are applying proven methods and exploring new approaches to maintain profitability and extend product lifecycles.

The industry’s heavy reliance on waterfall project management has resulted in long, siloed, and high-risk product development cycles. This model does not accommodate evolving regulations, shifting ...