Midjourney unveils 60-second full-body ultrasound scanner
Midjourney, best known for its generative image AI, has built an ultrasound body scanner that images the entire body in 60 seconds with no radiation.
English · Original discussion in Spanish · Published
Midjourney unveils 60-second full-body ultrasound scanner
The generative image AI company, famous for its striking visual creations, has made an unexpected leap into medical diagnostics. According to early reports, it has developed an ultrasound-based scanner capable of examining the entire body in 60 seconds, with no radiation or magnetic fields, and with image quality superior to a conventional CT scan.
A quantum leap in medical imaging?
The technology promises a complete, fast and non-invasive examination. The patient is immersed in water and the scanner, presumably powered by AI algorithms, generates detailed high-resolution images. If confirmed, it would be a huge breakthrough: no exposure to ionizing radiation, none of the discomfort of MRI tubes, and all in a minute. Those familiar with the proposal compare it to the science-fiction devices of 'Black Mirror'.
Skepticism and healthcare system barriers
But the shadow of adoption is long. Spain's healthcare system, with its slow validation and public procurement processes, would take years to integrate such equipment. Some point out that radiology societies could hinder the entry of a technology that renders costly CT scanners and MRI machines obsolete, a business worth billions. Moreover, a key technical question arises: are AI-generated images a faithful reflection of reality or an algorithmic hallucination? The debate over the reliability of AI in diagnostics remains open.
AI was saving lives before LLMs
This is not the first time artificial intelligence has made a difference in medicine. There are documented cases of early diagnoses of rare diseases thanks to AI applied to electrocardiograms, enabling successful urgent interventions. Medical imaging is a field where AI has been speeding up processes for years, often quietly, far from the spotlight of generative AI.
Are we witnessing the beginning of the end for traditional diagnostic machines, or another promise that collides with bureaucratic reality and vested interests? The answer, as almost always, lies in clinical trials and the bottom line of medical equipment manufacturers.
The generative image AI company, famous for its striking visual creations, has made an unexpected leap into medical diagnostics. According to early reports, it has developed an ultrasound-based scanner capable of examining the entire body in 60 seconds, with no radiation or magnetic fields, and with image quality superior to a conventional CT scan.
A quantum leap in medical imaging?
The technology promises a complete, fast and non-invasive examination. The patient is immersed in water and the scanner, presumably powered by AI algorithms, generates detailed high-resolution images. If confirmed, it would be a huge breakthrough: no exposure to ionizing radiation, none of the discomfort of MRI tubes, and all in a minute. Those familiar with the proposal compare it to the science-fiction devices of 'Black Mirror'.
Skepticism and healthcare system barriers
But the shadow of adoption is long. Spain's healthcare system, with its slow validation and public procurement processes, would take years to integrate such equipment. Some point out that radiology societies could hinder the entry of a technology that renders costly CT scanners and MRI machines obsolete, a business worth billions. Moreover, a key technical question arises: are AI-generated images a faithful reflection of reality or an algorithmic hallucination? The debate over the reliability of AI in diagnostics remains open.
AI was saving lives before LLMs
This is not the first time artificial intelligence has made a difference in medicine. There are documented cases of early diagnoses of rare diseases thanks to AI applied to electrocardiograms, enabling successful urgent interventions. Medical imaging is a field where AI has been speeding up processes for years, often quietly, far from the spotlight of generative AI.
Are we witnessing the beginning of the end for traditional diagnostic machines, or another promise that collides with bureaucratic reality and vested interests? The answer, as almost always, lies in clinical trials and the bottom line of medical equipment manufacturers.
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Summary of a discussion on Burbuja.info - Foro de economía, actualidad y política., translated from Spanish and reviewed before publication. Read the full discussion (14 replies).
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