MedTech In Focus: AI impact in healthcare

MedTech In Focus: AI impact in healthcare

MedTech Intelligence – Read More

We are seeing it everywhere, Artificial Intelligence in our daily activities – smart thermostats and smart lights in our homes, facial recognition on our phones, robot vacuum cleaners doing our cleaning, navigation and ride-share apps, Movie and music recommendations on entertainment apps, personalized social media feeds. Like every other aspect of LIFE, healthcare & MedTech are rapidly including AI into care technologies, clinical workflows, and administrative efficiencies.

See the recent AI thought leadership published on MedTechIntelligence.com. There’s some good work leading us toward achieving the quadruple aim with better care, greater access for all, and more efficient processes driving down costs and improving affordability. 

 


 

Understanding FDA’s AI Regulatory Guidance

 

If Your AI Can’t Explain Itself, Can FDA Authorize It?

By Lavanya Ramnath, Srividya Narayanan

Why is algorithmic transparency becoming an increasingly important consideration in FDA’s review of AI/ML medical devices?

 

 


 

Monitoring and managing model lifecycle

 

Trust in AI

Maintaining trust in medical AI

By Anna Vuolo
Healthcare environments are dynamic with patient populations, clinical practices and data collection methods continuously evolving. Similarly, effective AI systems depend on more than performance at initial deployment. They must be monitored and managed throughout their lifecycle to remain reliable, clinically relevant, and safe.

 

How to unlock its potential with the right policies

 

Why Gen AI is a Win for MedTech

By Jonathan Burk

Without formal policies and governance, MedTech organizations face risks to intellectual property, product quality, and ultimately patient safety. Thoughtful AI governance enables development teams to capture efficiency gains while maintaining the rigor that the industry demands.

 


 

Hidden ICU Risk and AI-Driven De-escalation

 

The Boston Children’s Experience:

By Evan Butler

Boston Children’s Hospital physicians say one of the greatest risks in pediatric ICUs is delayed de-escalation of care, which can expose children to prolonged ventilation, sedation, and vasoactive medications. They argue that AI-driven clinical intelligence can help clinicians identify safer timing for weaning and extubation, supporting recovery and improving long-term outcomes

 


 

Hiring Key Employees

 

The failure of the ‘usual suspects’ approach to life science recruitment

By Ivor Campbell

How has AI impacted the way in which companies recruit for senior specialists, particularly in highly niche roles in MedTech, biotech and pharmaceutical development? Finding the right people for these roles has never been harder.

 

The post MedTech In Focus: AI impact in healthcare appeared first on MedTech Intelligence.

 

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