Tag Archives: machine learning

future of healthcare delivery

Adopting a New Healthcare Culture: Technology-Driven Workflows

By Andrea Facini
future of healthcare delivery

Increasing patient demand, barriers to access, and elevated costs are pushing healthcare providers to reconsider traditional clinical and operational workflows to meet growing challenges and improve patient outcomes. Artificial intelligence (AI), robotics, and digital therapeutic solutions are streamlining processes and expanding the possibilities for reimagining care delivery. As these technologies converge, the shift from complex high-cost interventions toward lighter more adaptive care models creates opportunity to better meet the needs of diverse patient populations.

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3D surgical navigation

Spinal Deformity Surgery with AI-Powered Surgical Guidance and Advanced Visualization Techniques

By Tommy Carls
3D surgical navigation

Light field technology is illuminating a path to a deeper understanding of patient anatomy, surgeon methodology, and surgical environments. Traditionally, spine surgery navigation has depended on surgeons combining pre-operative imaging with intra-operative anatomy to execute their treatment plans. However, with light field technology and depth sensors, these technologies digitize the entire operative field, merging it seamlessly with preoperative imaging, effectively bridging the gap between unseen and visible physical anatomy of the spine. This provides surgeons with a three-dimensional anatomical view that exceeds what the naked eye can discern.

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Kaushik Gune

Advancing Digital Health: Huma SaMD Platform Gains U.S. Clearance

By MedTech Intelligence Staff
Kaushik Gune

This week Huma Therapeutics received FDA Class II 510(k) clearance for its Software as a Medical Device (SaMD) platform, potentially speeding approval of a variety of AI and machine-learning (ML)-powered digital health devices. We spoke with Kaushik Gune, U.S. Head of Healthcare at Huma, about the current state of digital health technologies, the value of partnerships to enhance the use of real world data and how digital health is likely to advance in the coming years.

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