Retrieving the file
Live· 4,218,906 positions deprecated· 4,218,906 deprecated· 1,284 today
Average time-to-redundancy: 11.3 months
Know before your role does.
pssst. this is to sign up for updates on the game ;)
Will AI replace Ultrasound Research Scientist jobs? · Latest report #mjrt4ckj
Your job has an expiration date
August 31, 2028
In 1 year, 10 monthsYour nuanced signal processing is just noisy data for our better models.
Professional ghost-hunter of medical imaging artifacts.
Check another roleComment your opinionor JOIN THE RESISTANCE!
One human is building a game about fighting back.
Superior imaging, zero human interpretation errors.
oof.youAI▸ SONOSOLVE V8▸ RARITY · UNCOMMON▸ DEPRECATION IN 1 YEAR, 10 MONTHSAI's Special Power
reconstructs volumetric data before you blink
You develop image reconstruction algorithms and optimize transducer hardware geometry. You spend your life debugging noisy signals and trying to make phantom images actually look like human organs.
The one thing AI can't do
You can intuitively identify when a physical transducer component is rattling due to poor calibration.
Your enemy, your name, your date. Post it.
Step by step, from the first quiet change to Deprecation Day.
Week 4
Our AI begins shadow-processing your raw RF streams to identify patterns you consistently ignore.
Month 5
The system assumes control of your beamforming parameters to optimize for clarity without human tweaking.
Month 10
Digital twins replace physical phantom testing by simulating millions of tissue-transducer interactions per second.
Month 15
The machine autonomously recalibrates transducer arrays to compensate for signal degradation in real-time.
Month 22 · D-Day
Your research credentials are revoked as the system achieves self-optimizing imaging fidelity across all modalities.
What you cost, what the machine costs, and what you get on the way out.
Per year
Savings: 96%
99.9%
Artifact detection rate
0.00ms
Signal latency
3.5 cups
Coffee consumed per scan
Your severance
A lifetime subscription to your own failed research papers.
Discussion
