What Should the Ultrasound Workstation of the Future Look Like? Reflections from a Practicing Ultrasound Physician

This perspective article, written by a practicing clinical ultrasound physician, asks a plain but fundamental question: if we were to redesign an ultrasound workstation from scratch, what should it look like? The article argues that the future of ultrasound AI should go beyond "recognizing images more accurately" toward a navigation-like assistant: one that knows in real time where the probe is, what has been examined, what remains, and what should be looked at next. Between the image and the disease lies a layer of clinical reasoning, and the gap between experts and junior physicians is often not about seeing, but about knowing where and what to look for. Key proposals include: reducing repetitive labor and clicks in daily workflow; letting patient information (medical records, lab results, PACS, pathology, prior ultrasound reports, guidelines) flow proactively to the physician with relevance-based filtering; building a longitudinal "life story" for follow-up lesions with side-by-side image comparison; dynamic re-planning of the examination route when a new abnormality is found; experience-adaptive prompt density to avoid alert fatigue; completeness checks before report sign-off; automatic text error-checking; and traceable, guideline-based recommendations instead of black-box outputs. The article also addresses a stepwise implementation path (starting with thyroid ultrasound), the responsibilities of engineers and clinicians in co-design, and the limitations of the vision (operator dependence, generalization across machines, latency, alert fatigue, and responsibility delineation). Its core message: good technology should make physicians stronger, not make them redundant.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-09-26
DOI
https://doi.org/10.5281/zenodo.22978662
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
preprint
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What Should the Ultrasound Workstation of the Future Look Like? Reflections from a Practicing Ultrasound Physician

Kuiyuan Lu
Zenodo (CERN European Organization for Nuclear Research)
Artificial Intelligence in Healthcare and Education
preprint

What Should the Ultrasound Workstation of the Future Look Like? Reflections from a Practicing Ultrasound Physician

Kuiyuan Lu
preprint en

Abstract

This perspective article, written by a practicing clinical ultrasound physician, asks a plain but fundamental question: if we were to redesign an ultrasound workstation from scratch, what should it look like? The article argues that the future of ultrasound AI should go beyond "recognizing images more accurately" toward a navigation-like assistant: one that knows in real time where the probe is, what has been examined, what remains, and what should be looked at next. Between the image and the disease lies a layer of clinical reasoning, and the gap between experts and junior physicians is often not about seeing, but about knowing where and what to look for. Key proposals include: reducing repetitive labor and clicks in daily workflow; letting patient information (medical records, lab results, PACS, pathology, prior ultrasound reports, guidelines) flow proactively to the physician with relevance-based filtering; building a longitudinal "life story" for follow-up lesions with side-by-side image comparison; dynamic re-planning of the examination route when a new abnormality is found; experience-adaptive prompt density to avoid alert fatigue; completeness checks before report sign-off; automatic text error-checking; and traceable, guideline-based recommendations instead of black-box outputs. The article also addresses a stepwise implementation path (starting with thyroid ultrasound), the responsibilities of engineers and clinicians in co-design, and the limitations of the vision (operator dependence, generalization across machines, latency, alert fatigue, and responsibility delineation). Its core message: good technology should make physicians stronger, not make them redundant.

Zenodo (CERN European Organization for Nuclear Research)
Weihai Municipal Hospital (CN), Weihai Chest Hospital (CN)
Decent work and economic growth
Artificial Intelligence in Healthcare and Education
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What Should the Ultrasound Workstation of the Future Look Like? Reflections from a Practicing Ultrasound Physician — Kuiyuan Lu · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS