A recent project conducted by Northeastern graduate students looked at device recalls over the past five years and some of the common threads.

Billions of dollars are lost annually in medical billing errors resulting from data entry mistakes, outdated coding practices, and duplicated charges.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.

As medical device costs continue to be a growing area of hospital expenditures, many hospitals control the savings through device reprocessing programs. The shift toward planned obsolescence is ...

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 ...

The convergence of gamification and AI heralds a transformative era in mental health care, offering a blend of engagement and precision previously unattainable.

Orthogonal worked with Brian Binkowski, to gain a clearer picture of the state of SaMD approvals in the U.S. Following is what they learned about the rate of FDA approvals and clearances and which ...

Evolving regulations and market requirements have kept medtech companies on their toes for years. EU MDR, for example, has been a top priority and now, more companies are moving toward EU MDR ...

Infographics can propel MedTech research and campaigns and enhance the user experience. Here Fabricio Pamplona, co-founder of online infographic maker for scientists Mind the Graph, explores the power ...

How does combining AI with Lean Management significantly improve efficiency in MedTech engineering? AI, much like IDEs or CAD tools before it, is becoming an essential enabler in reducing friction ...

In addition to tax incentives in China, U.S. manufacturers are seeking Chinese partners due to a lack of domestic funding.

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 ...