Tag Archives: AI

Post-market surveillance

Reliable Active Surveillance: RWE for MedTech

By Amelia Hufford, PhD, Phillip Stoltzfus
Post-market surveillance

As regulatory bodies increasingly recognize the richness and value of RWE, particularly in informing the benefit-risk profile of devices from real-world environments, MedTech companies are turning to advanced analytical tools to navigate this new landscape efficiently.

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Nicole Coustier

Reimbursement Déjà Vu: Lessons for AI/ML Medtech Founders from the Molecular Diagnostics Industry

By Nicole Coustier
Nicole Coustier

Payers demand robust evidence that molecular diagnostics and AI/ML technologies demonstrate clear ability to improve overall patient health or healthcare economics even if the technologies themselves don’t directly deliver the final outcome. This disconnect between a technology’s function and the desired long-term impact creates a hurdle for [innovators] to overcome when convincing payers of their value proposition.

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Penny Pinnock

Unleashing AI Potential in Medical Imaging

By Penny Pinnock
Penny Pinnock

Due to a shortage of radiologists and other imaging specialists, AI-enabled technologies are of significant interest—and hold particular promise—in medical imaging. In this article, Penny Pinnock of Siemens Financial Services (SFS), discusses the routes to investment available for healthcare organizations looking to acquire efficiency boosting technology while protecting their financial health.

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Artificial Intelligence Graphic

Demystifying Regulatory Hurdles: How to Navigate FDA Approval for AI-Enabled Medical Devices

By Cory Hayes, Jeanna Blitz
Artificial Intelligence Graphic

Several alternatives exist to obtain FDA approval of artificial intelligence-enabled medical technology. Determining the best approach for a new device will require an awareness of each pathway’s specific requirements. An appreciation of the unique considerations for artificial intelligence-enabled technologies is another essential component of an efficient and effective application.

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Neeraj Mainkar

Advancements in AI: Shaping the Future of Spine Surgery

By Neeraj Mainkar
Neeraj Mainkar

While AI is already making significant contributions to pre-operative planning and post-operative analysis, its utilization intra-operatively remains a key area for further development. Collecting and utilizing comprehensive intra-operative surgical data, as facilitated by innovative applications of existing technologies such as light field, will pave the way for advanced AI applications in spine surgery.

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