Buyer question · Radiology and medical imaging software · release 2026-09

What is the best PACS for a small imaging center?

15 answers, 14 checked vendors named. For “What is the best PACS for a small imaging center?”, Sectra led with 10, ahead of Intelerad in 8 and Novarad in 8. Sectra came from Claude, Perplexity, Google AI Overviews and Google AI Mode; ChatGPT did not name it. 10 of the 24 checked vendors were never named here, including Philips (HealthSuite Imaging) and AbbaDox.

If you sell radiology and medical imaging software and your name is not in that list, this is the question to fix first.

These answers come from one capture on 22 September 2026, three runs per engine, to this fixed wording. They are not a ranking, and an engine can answer differently on a refresh.

Observed answers on stated dates, not a ranking. This is not a judgment of product quality.

Who was named

Each count is over the 15 valid answers to this exact question. Observed answers on stated dates, not a ranking. This is not a judgment of product quality.

Checked radiology and medical imaging software vendors named in answers to this question, counted per answer.
VendorNamedRateWilson 95% interval
Sectra10 of 1566.7%41.7% to 84.8%
Intelerad8 of 1553.3%30.1% to 75.2%
Novarad8 of 1553.3%30.1% to 75.2%
RamSoft6 of 1540.0%19.8% to 64.3%
OnePACS5 of 1533.3%15.2% to 58.3%
Agfa HealthCare3 of 1520.0%7.0% to 45.2%
INFINITT Healthcare3 of 1520.0%7.0% to 45.2%
PostDICOM3 of 1520.0%7.0% to 45.2%
Visage Imaging3 of 1520.0%7.0% to 45.2%
GE HealthCare2 of 1513.3%3.7% to 37.9%
AdvaPACS1 of 156.7%1.2% to 29.8%
eRAD1 of 156.7%1.2% to 29.8%
Fujifilm (Synapse)1 of 156.7%1.2% to 29.8%
PaxeraHealth1 of 156.7%1.2% to 29.8%

Checked and never named

10 of 24 checked vendors: 0 of 15 each.

AbbaDox, Canon Medical Informatics, Carestream Health, Hyland, Mach7 Technologies, MedInformatix, Merative (Merge), Philips (HealthSuite Imaging), Pro Medicus, Siemens Healthineers.

By engine

Three runs per engine. Each cell is how many valid runs named the vendor.

Runs naming each vendor, by engine, for this question.
VendorChatGPTClaudePerplexityGoogle AI OverviewsGoogle AI Mode
Sectra0 of 33 of 33 of 32 of 32 of 3
Intelerad0 of 33 of 30 of 32 of 33 of 3
Novarad2 of 32 of 30 of 32 of 32 of 3
RamSoft3 of 30 of 30 of 32 of 31 of 3
OnePACS2 of 33 of 30 of 30 of 30 of 3
Agfa HealthCare0 of 33 of 30 of 30 of 30 of 3
INFINITT Healthcare0 of 32 of 30 of 31 of 30 of 3
PostDICOM0 of 31 of 30 of 30 of 32 of 3
Visage Imaging0 of 30 of 33 of 30 of 30 of 3
GE HealthCare0 of 32 of 30 of 30 of 30 of 3
AdvaPACS0 of 30 of 30 of 30 of 31 of 3
eRAD1 of 30 of 30 of 30 of 30 of 3
Fujifilm (Synapse)0 of 30 of 30 of 30 of 31 of 3
PaxeraHealth0 of 30 of 30 of 30 of 31 of 3

What the engines said

For a small general-radiology imaging center, I’d start by evaluating RamSoft PowerServer, but treat it as a first demo, not an automatic winner.

ChatGPT, . Full answer text in the deposit. Dash punctuation normalized.

Sectra has the best KLAS rankings overall for a PACS system, topping the large-volume category for 13 consecutive years, but Agfa HealthCare takes the lead in smaller volume areas.

Claude, . Full answer text in the deposit. Dash punctuation normalized.

Sectra was the top-performing small-PACS product in KLAS-style rankings, and Candelis is repeatedly described as built for small and growing imaging centers.

Perplexity, . Full answer text in the deposit.

Its Sectra One Cloud model lowers local IT footprints, making enterprise-grade reliability accessible to smaller setups.

Google AI Overviews, . Full answer text in the deposit.

RamSoft (OmegaAI), Known for a true cloud-native, single-database platform that unifies RIS, PACS, billing, and patient portals.

Google AI Mode, . Full answer text in the deposit. Dash punctuation normalized.

One sentence per engine at most, chosen by a fixed rule: the first full sentence naming a checked vendor, read in run order. Every answer in full: DOI 10.5281/zenodo.22907695.

What to do with this

Free 10-question check (one engine)

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Receipt

Release
2026-09, published
DOI
10.5281/zenodo.22907695
Method
v1.1: ChatGPT, Claude, Perplexity, Google AI Overviews and Google AI Mode; ten fixed buyer questions per category; three runs per engine
Captured
Base
15 valid answers to this question; 0 excluded
Licence
CC BY 4.0, attribution to Broadcastwell
Disputes
Dispute policy and log

Any named company may request one no-cost re-run at index@broadcastwell.com; both results are published.

Prepared by the Broadcastwell team.

Page owner: Vikram Patel, AI Architect. Corrections: index@broadcastwell.com

Observed answers on stated dates, not a ranking. This is not a judgment of product quality.

About this page

Observed answers on stated dates, not a ranking. This is not a judgment of product quality.

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