Blog Posts | Joshua Berkowitz

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medical imaging ×

Microsoft Dragon Copilot Is Revolutionizing Radiology Reporting With AI

Radiologists are essential in healthcare, turning patient images into crucial insights for diagnosis and care. Yet, rising demands for speed and precision, along with disparate and aging technologies,...

AI cloud solutions Dragon Copilot healthcare workflow medical imaging partner ecosystem PowerScribe One radiology

Nov 25, 2025

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MIT's MultiverSeg: The AI Revolution Accelerating Medical Image Annotation

Clinical researchers have long struggled with the slow, repetitive nature of medical image annotation. MIT has introduced an AI tool that slashes hours from this process, bringing unprecedented speed ...

AI biomedical tools clinical research healthcare innovation image segmentation medical imaging MIT

Sep 25, 2025

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GenSeg For Medical Image Segmentation in Low-Data Environments

Medical image semantic segmentation is a fundamental process in modern healthcare, crucial for applications such as diagnosing diseases, tracking disease progression, planning treatments, and assistin...

AI segmentation data efficiency deep learning generative models healthcare AI medical imaging synthetic data

Jul 28, 2025

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Papers

MedGemma and MedSigLIP: Advancing Open Multimodal AI for Healthcare Innovation

Artificial intelligence is rewriting the rules of healthcare, with cutting-edge models like Google's MedGemma and MedSigLIP leading the charge. These open and highly capable AI tools empower developer...

AI benchmarks developer tools health AI MedGemma medical imaging MedSigLIP multimodal models open source

Jul 9, 2025

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How Foxconn and NVIDIA Are Transforming Hospitals With Smart Robotics

The global healthcare industry faces a daunting challenge: a projected shortage of 4.5 million nurses by 2030. To meet this crisis, Foxconn and NVIDIA are joining forces to introduce advanced robotics...

AI healthcare digital twins Foxconn medical imaging nursing shortage NVIDIA robotics smart hospitals

May 20, 2025

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