What the analysis found
Fewer than half of radiologist job listings in the United States include a salary estimate. That is the headline of a July 2026 analysis by Kirill Lopatin — the founder of xAID — reported by Radiology Business. The study used AI to parse more than 5,000 active radiologist employment listings tracked on RadBoard (radboard.io), a job board that indexes thousands of open U.S. radiology positions nationwide, drawn from sources such as the ACR and RSNA career centers. In the interest of transparency: the analysis was authored by xAID's own founder, and the underlying ACR and RSNA job-board data is cited below so readers can verify the figures independently.
The precise figure: only 47.6% of listings offered a salary estimate. Round it to 48% and the picture is the same — for roughly half of open radiologist roles, a candidate cannot see the number until they are deep in a conversation. In a specialty this in demand, that is worth reading closely.
Why opaque pay is a shortage signal
Salary transparency usually rises when employers compete for candidates on posted terms and falls when they compete for scarce candidates on negotiated ones. When the supply of a role is tight, publishing a fixed salary caps an employer's room to negotiate — so many simply leave it out. Opaque pay does not prove a shortage by itself, but it is exactly what a supply-constrained market looks like from the outside.
The regulatory backdrop makes the omission more striking, not less. The ACR Career Center now requires employers posting positions to disclose salary ranges, citing pay-transparency legislation enacted in at least 17 U.S. states and local jurisdictions. That half of listings still show no estimate — despite mounting legal and platform pressure to disclose — underscores how much of radiologist hiring has moved into private, offer-by-offer negotiation.
What this means for imaging centers competing for radiologists
If you run an imaging center, teleradiology group, or hospital imaging department, the transparency gap is a reminder that the constraint is people, not postings. You can advertise a role; you cannot manufacture a radiologist. Three implications follow:
A hiring race has diminishing returns
When half the market is negotiating pay privately, competing on compensation alone means bidding against every other center for the same scarce readers. Winning the bid still leaves you dependent on a supply that is not growing fast enough.
Capacity is the real bottleneck, not the job post
The number that matters is not the advertised salary but the reading capacity you can bring online per dollar. Reducing the volume of routine drafting each radiologist must produce stretches the readers you already have.
Transparency cuts both ways
As pay-transparency laws expand, centers that cannot post competitive numbers will find recruiting harder, not easier. Relieving throughput pressure with technology reduces how many new hires you need to chase in the first place.
Two responses to a scarce-radiologist market
Faced with the same shortage signal, centers tend to pick one of two paths. The distinction is not "AI instead of radiologists" — a radiologist is accountable either way — but where the scarce human hours are spent.
| Hiring race | AI capacity relief | |
|---|---|---|
| Speed to relief | Months of recruiting and credentialing | Weeks — added throughput on existing readers |
| Cost structure | Rising fixed salaries in a bidding war | Per-study, scales with volume |
| Depends on scarce supply | Yes — you must find and win a radiologist | No new headcount required |
| Who signs the report | Your radiologist | Your reading radiologist signs; xAID reviews every preliminary |
| Scalability | Limited by the labor market | Absorbs volume spikes without new hires |
Where AI CT reporting fits
If the market is telling imaging centers that radiologists are scarce and expensive to recruit, the practical move is to make each radiologist hour count for more. That is what AI CT reporting is built to do: a foundation-model system drafts a structured, comprehensive report, xAID's in-house European radiologist reviews every preliminary, and the report is delivered ready-to-sign so the client's US reading radiologist signs the final. The scarce resource — a radiologist's judgment — is spent on review and signature, not on drafting from a blank page. Read against a market where half of listings will not even name a salary, that is capacity relief, not another entry in the hiring race.
Frequently asked questions
How many radiologist job listings include a salary estimate?
An analysis of more than 5,000 active U.S. radiologist job listings, released in July 2026 by Kirill Lopatin, the founder of xAID, and reported by Radiology Business, found that only about 48% — 47.6% precisely — include a salary estimate. The listings were drawn from job boards such as the ACR and RSNA career centers.
Why does radiologist salary transparency matter as a labor-market signal?
When more than half of listings omit pay in a specialty where demand outstrips supply, it reflects a market where employers compete for scarce radiologists without anchoring to a public number. Pay-transparency laws in at least 17 U.S. states and jurisdictions are pushing disclosure — the ACR Career Center now requires employers to post salary ranges — so persistent opacity is itself a signal about how tight and negotiation-driven the market has become.
What does opaque radiologist pay reveal about the shortage?
Opaque pay is consistent with a supply-constrained labor market. When candidates are scarce, listing a fixed salary caps an employer's flexibility to negotiate, so many withhold it. It does not prove a shortage on its own, but combined with rising compensation benchmarks and long time-to-fill, it points to a market where headcount is hard to add at any advertised price.
How does AI CT reporting help imaging centers facing the radiologist shortage?
AI can add reading capacity instead of headcount. Foundation-model AI drafts a structured CT report, xAID's in-house European radiologist reviews every preliminary, and the report is delivered ready-to-sign so the client's US reading radiologist signs the final. That relieves throughput pressure without competing in a hiring race for scarce radiologists — the final signature always stays with your reading radiologist.
Source: analysis of 5,000+ U.S. radiologist job listings by Kirill Lopatin, founder of xAID (July 2026), based on the RadBoard jobs dataset (radboard.io), as reported by Radiology Business. Pay-transparency requirement per the ACR Career Center. Figures are rounded as reported. Disclosure: this analysis was authored by xAID's founder; the underlying ACR and RSNA job-board data is cited so readers can verify it independently.