gen‑ai.news
← Back
Image

Midjourney goes from generating cat images to full-body ultrasound scans

Midjourney has moved well beyond AI-generated imagery with the announcement of The Midjourney Scanner, a full-body ultrasound device that represents the company's first foray into physical hardware. CEO David Holz introduced the product, acknowledging the sharp departure from the "cat pictures" the company became known for. The scanner uses a ring of ultrasound sensors to capture vertical cross-sections of the body, building a picture of internal composition - muscle, fat, bone, and organ structure.

Holz described the device as targeting image quality comparable to MRI in certain respects, which would be a notable achievement for an ultrasound-based system. MRI remains the gold standard for soft tissue imaging, but it is expensive, slow, and requires large clinical infrastructure. A practical ultrasound alternative that approaches MRI fidelity could make routine body composition monitoring accessible in a way that clinical MRI never realistically could be.

The intended use cases lean toward longitudinal personal health tracking rather than acute medical diagnosis. Holz suggested users might scan themselves once a year or even daily to monitor how their body is changing over time - for example, tracking muscle development or the effects of diet. This positions the product closer to consumer wellness than traditional medical imaging, though the underlying technology clearly draws on clinical ultrasound methods. Midjourney also plans to house the scanner inside a San Francisco spa, suggesting an early distribution model built around in-person wellness visits rather than home ownership.

The announcement raises natural questions about regulatory pathways, clinical validation, and how the device handles the substantial data processing required to reconstruct detailed internal images from raw ultrasound signals. Midjourney has significant experience building and deploying generative AI models, and that expertise in training neural networks on image data may translate meaningfully to the reconstruction pipeline that would sit at the core of a product like this. How the company navigates the medical device landscape will be worth watching closely as more details emerge.

Enjoy this story? Get the next one in your inbox.

Twice a week: the most important stories in generative image and video AI, distilled into a 2-minute read.

Free. Unsubscribe any time. No spam, ever.

Your next read

Image

The EU doesn't really know what a deepfake is, and that's becoming a problem for retail

A major European retail trade group is pushing back against the EU AI Act's transparency requirements, arguing that AI-generated product imagery - think a sofa in a computer-generated living room - should not be classified alongside deepfakes. The dispute exposes a genuine ambiguity in the regulation's language that has real consequences for how online retail operates. With platforms like Zalando reporting that 90 percent of their marketing content is already AI-generated, the stakes are signifi

Image

Adobe’s redesigned AI studio remembers what your creations look like

Adobe is rolling out a redesigned Firefly AI studio in private beta, bringing editing and image generation into a single interface. A key addition is the ability to save named visual elements - characters, objects, and backgrounds - so they can be reused consistently across projects without drifting in appearance.

Image

Adobe brings its Firefly AI Assistant inside of Premiere, Photoshop and Illustrator

Adobe has integrated its Firefly AI assistant directly into Premiere Pro, Photoshop, and Illustrator, bringing generative AI tools into the core workflow of its most widely used creative applications. Rather than requiring users to switch between separate tools or platforms, the assistant is now accessible from within each app. The move reflects Adobe's ongoing effort to embed AI capabilities at the point where creative work actually happens.