Emerging threat actors have redefined the attack surface—and are targeting your helpdesk. Through social engineering, impersonation, and MFA fatigue tactics, they’re bypassing perimeter defenses and are using support channels as the first step toward…
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What You Should Know:
– Proprio has secured FDA clearance for Picasso, its fourth cleared capability within the Paradigm AI surgical platform.
– The feature enables “trace-based” optical registration, allowing spine surgeons to perform real-time, radiation-free…
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Integrating complementary surface and cross sectional cues is central to preoperative assessment of colorectal cancer, but technically challenging because endoscopic images and pelvic CT encode anatomy at different scales. Here we present HydraMamba, a…
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This paper aims to build a model that can Segment Anything in 3D medical images, driven by medical terminologies as Text prompts, termed as SAT. Our main contributions are three-fold: (i) We construct the…
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What You Should Know:
– Method AI, a medical technology company focused on improving oncology outcomes secures $20M in Series A funding led by a private family office, with participation from Cleveland Clinic and JobsOhio…
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The Med-Gemini Mistake Discovery
Google’s ambitious healthcare AI model, Med-Gemini, recently came under scrutiny when a significant error was discovered in both a 2024 research paper and accompanying blog post. The mistake involved referencing “basilar…
What You Should Know:
– MAUI Imaging, inventor of patented Computed Echo Tomography (CET) technology that visualizes anatomy other ultrasound technologies cannot secures $14M in a Series D round led by Acertara Acoustic Laboratories and…
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Brain-based technologies for human augmentation face challenges in personalization and real-world translation. We present an AI-driven personalized Bayesian optimization algorithm that remotely adjusts neurostimulation parameters based on baseline ability and head anatomy to enhance…
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Medical image segmentation is vital for accurate diagnosis. While U-Net-based models are effective, they struggle to capture long-range dependencies in complex anatomy. We propose GH-UNet, a Group-wise Hybrid Convolution-ViT model within the U-Net framework,…
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In Northern California, MarinHealth is already well-versed in the benefits of AI in the OR. At the 327-bed MarinHealth Medical Center, vascular surgeon Dr. Allan Conway has been using an AI-based anatomy-mapping technology to…
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