Midjourney Is Leaving AI Images Behind And Building A Full-Body Health Scanner
Midjourney became famous for one thing:
Creating stunning AI-generated images from simple text prompts.
Now the company wants to tackle something completely different.
Healthcare.
Midjourney has announced Midjourney Medical, a new division focused on AI-powered medical imaging. The company is developing a new system called “Ultrasonic CT,” which combines ultrasound technology with AI reconstruction to create detailed 3D scans of the human body.
The goal?
Make full-body imaging faster, cheaper, and more accessible.
A full-body scan in about 60 seconds
According to Midjourney, its future scanner could create detailed body images in roughly one minute.
The system would place users inside a water-filled chamber while they pass through a ring containing hundreds of thousands of ultrasonic transmitters and receivers.
The hardware collects massive amounts of data, which is then processed by AI systems to reconstruct a 3D view of the body.
Midjourney believes this approach could eventually create MRI-like images without radiation or powerful magnetic fields.
Traditional full-body MRI scans can take 30 minutes or more.
Midjourney wants millions of scans every month
The company’s vision is extremely ambitious.
Midjourney says it wants to deploy around 50,000 scanners globally within six years and eventually process one billion full-body scans every month.
The idea is based on early detection.
If people regularly scan their bodies, potential health problems could be discovered earlier.
Midjourney believes this could reduce preventable deaths and lower healthcare costs.
From AI art to healthcare hardware
This is a huge shift for the company.
Midjourney launched in 2022 as a text-to-image AI platform and became one of the most recognizable names in generative AI.
Now it is moving into physical hardware, medical research, and wellness.
The company plans to begin with body composition mapping while continuing research and working toward regulatory approval for diagnostic use.
The first step: Midjourney Spa
The company plans to introduce the technology through a wellness-focused location.
The first Midjourney Spa is expected to open in San Francisco in 2027.
The facility would include traditional wellness experiences like:
• Saunas
• Hot tubs
• Cold plunges
• AI-powered scanning rooms
The goal is to combine health monitoring with lifestyle and wellness.
AI companies are racing into healthcare
Midjourney is not alone.
AI companies are increasingly moving into healthcare, but many are focusing on software.
OpenAI has introduced healthcare-focused tools that connect AI with medical information and workflows.
Anthropic has expanded Claude into healthcare research, clinical applications, and medical data analysis.
Midjourney is taking a different path.
Instead of creating another AI assistant for doctors or patients, it wants to build the machines that collect medical information in the first place.
The biggest challenge: turning a vision into reality
The idea is impressive, but the hardest part will not be the AI.
It will be validation.
Medical imaging requires extreme accuracy.
A system used for healthcare must prove that it can reliably detect problems, meet regulatory requirements, and provide results doctors can trust.
Midjourney says it plans to spend the next year improving hardware, training algorithms, and running research trials.
The future of healthcare may look very different
For decades, medical imaging has depended on expensive machines, specialized facilities, and long appointment times.
AI could change that.
If companies can make imaging faster and cheaper, regular health monitoring could become much more common.
Midjourney started by teaching computers to imagine new worlds.
Now it wants AI to help us understand the one we live in: the human body.
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ChatGPT Dominates AI While Search Habits Start to Shift
ChatGPT remains the leading AI chatbot among US consumers, with around half of American adults now using AI chatbots, up from 33% in 2024, according to a new Pew Research study. ChatGPT accounts for 44% of chatbot users, maintaining a significant lead over competitors like Gemini, Copilot, Meta AI, Grok, and Claude.
Most people are still using AI primarily for search and information discovery rather than creative tasks or professional work. Only 24% use chatbots for image or video creation, while many users say AI helps improve productivity and stay informed. The shift is also impacting traditional web traffic, as more users rely on AI-generated answers instead of clicking through search results.
AI Models Can Be Stolen Without Accessing Their Code
Anthropic has accused groups linked to Alibaba and its Qwen AI team of using thousands of fake accounts to extract knowledge from Claude through millions of interactions. The company claims this was an attempt at model distillation, where a rival AI can learn a model’s capabilities by repeatedly questioning it instead of accessing its code or training data. Alibaba has not responded publicly, and the claims have not been independently verified.
The allegations highlight a new AI arms race problem: protecting models from being copied through conversation. As companies spend billions developing advanced systems, they now face the risk that competitors can replicate years of research by simply asking the right questions at massive scale. The future AI battle may not only be about building smarter models, but also protecting them from being reverse-engineered.
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That’s it for today.
AI is moving fast - models are getting better, tools are getting cheaper, and the gap between “people who use AI” and “people who don’t” keeps widening.
The only real advantage left is speed of learning.
Until next time: stay AI smart, stay ahead, and keep building with the future instead of reacting to it.
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