Midjourney enters medical hardware with full-body ultrasonic scanner

At a glance:

• Midjourney is developing a full-body ultrasonic scanner that claims to complete scans in 60 seconds
• The company is partnering with Butterfly Network and plans to open spas in San Francisco next year
• Midjourney aims to deploy 50,000 scanners worldwide by 2031 and reduce healthcare costs by 50 percent

From AI images to medical imaging

Midjourney, the artificial intelligence company best known for generating images from text prompts, is making a dramatic leap into medical hardware with its Midjourney Scanner — a device that can capture a complete 3D map of the human body in under 60 seconds. The project represents such a departure from the company's core business that initial reports questioned whether it might be an April Fools' joke. However, Midjourney confirmed the scanner is genuine and marks the launch of Midjourney Medical, its new healthcare division.

The scanner operates by submerging users on a platform that descends into water at 2 inches per second. As the body passes through a ring containing half a million hexagonal elements — each roughly the size of a grain of sand — the sensors emit ultrasonic waves and record the echoes that bounce back. The company likens the experience to being surrounded by half a million tiny dolphins using echolocation, creating a detailed anatomical map with precision down to fractions of a millimeter.

This speed represents a significant improvement over traditional MRI technology, which typically requires 60 to 90 minutes for a full-body scan. Midjourney's ambition extends beyond just faster imaging; the company claims the technology could eventually help avoid 30 percent of all deaths and reduce healthcare costs by 50 percent through earlier detection and more accessible screening.

Strategic partnership and development timeline

The project is being developed in collaboration with Butterfly Network, a handheld ultrasound device manufacturer. Midjourney secured exclusive rights to Butterfly Network's ultrasound-on-chip technology through a licensing agreement signed in November 2025. The initiative is led by Ahmad Abbas, who heads consumer hardware projects at Midjourney after previously working on Apple's Vision Pro.

Over the next 12 months, the company will focus on refining both the algorithms and hardware design while conducting research trials. The first Midjourney Spas housing the scanners are slated for San Francisco in 2026, though the machines will initially require FDA approval before their diagnostic capabilities can be fully realized. Midjourney plans to iterate through multiple generations: the second-generation design is targeted for 2027, with a third-generation model featuring custom silicon expected in 2028 that will deliver significantly improved image quality.

The long-term vision is ambitious: by 2031, Midjourney aims to have 50,000 of these scanners deployed globally across hospitals, clinics, and standalone spas. This expansion timeline reflects the company's confidence in scaling medical hardware production, though regulatory hurdles and manufacturing challenges remain significant obstacles to achieving these goals.

Why this matters for healthcare

If successfully implemented, the Midjourney Scanner could democratize access to comprehensive body imaging. Traditional MRI machines cost hundreds of thousands of dollars, require specialized facilities, and tie up patients for nearly two hours. The ultrasonic approach, combined with the spa-like accessibility, could make regular full-body screening feasible for broader populations.

However, the transition from AI image generation to medical device development represents a substantial risk. Medical hardware faces stringent regulatory requirements, extended approval processes, and intense competition from established players like GE Healthcare, Siemens Healthineers, and Canon Medical. Additionally, the accuracy and safety of ultrasonic imaging compared to established modalities remains to be proven at scale.

Midjourney's entry into healthcare also signals a broader trend of AI companies expanding into physical products and medical applications. The success or failure of this venture could influence how other AI-first companies approach hardware development and healthcare innovation.