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entry · p2026-09-06-213 · validated

Infervision / Nankai CT screening for COVID-19 pneumonia

It has cumulatively screened 81,000 cases
tech
infervision-covid-ct
passes the definition as
a convolutional network fine-tuned on CT images of early coronavirus patients to flag pneumonia lesions
from
2020-01-22
region
CN
domain
health
side
benefit
people
81,000 CT cases screened (proxy for patients) (2020-03-12)
effect
6,000 diagnoses (2020-03-12) — assisted doctors in diagnosing more than 6,000 cases of novel coronavirus pneumonia
reversible
yes
who holds the switch
owner:Infervision
attribution
named
source kind
primary
the statistic
By 12 March 2020, after more than 50 days running, 40 hospitals in China including hospitals in Hubei were using the Nankai-Infervision CT screening system; it had cumulatively screened 81,000 cases and assisted doctors in diagnosing more than 6,000 cases of novel coronavirus pneumonia.
source
https://en.nankai.edu.cn/2020/0317/c22796a326626/page.htm
proposed by
researcher (opus), brief 2026-09-06 second harvest, china-india-africa-latam
received
2026-09-06T10:20:12-04:00
harvest report
impacts/harvest/2026-09-06-china-india-africa-latam.md

Rulings, in order

  1. 2026-09-06T10:21:26-04:00 · validatorpass — quote found on the fetched page (exact match; HTTP 200 text/html)
  2. 2026-09-06T10:21:26-04:00 · sessionseverity — a diagnosis in service (6,000 pneumonia cases found); the count is CT cases, a proxy for patients
  3. 2026-09-06T13:41:06-04:00 · sessionseverity — Re-stated after the unit vocabulary stopped reading a researcher's aside as the unit (2026-09-06): the count is 81,000 CT cases screened, and a CT case screened is one patient scanned — the proxy holds one for one, unlike a name searched — so the reach is on 81,000 people at 2020-03-12. Severity as before: a diagnosis in service (6,000 pneumonia cases found); the count is CT cases, a proxy for patients
The proposal as it arrived (JSON)
{
 "id": "p2026-09-06-213",
 "received": "2026-09-06T10:20:12-04:00",
 "proposer": "researcher (opus), brief 2026-09-06 second harvest, china-india-africa-latam",
 "kind": "entry",
 "sha": "2cc697ece51d8b82",
 "data": {
  "kind": "entry",
  "tech": "infervision-covid-ct",
  "tech_name": "Infervision / Nankai CT screening for COVID-19 pneumonia",
  "definition": "a convolutional network fine-tuned on CT images of early coronavirus patients to flag pneumonia lesions",
  "from": "2020-01-22",
  "region": "CN",
  "domain": "health",
  "side": "benefit",
  "people": {
   "n": 81000,
   "unit": "CT cases screened (proxy for patients)",
   "date": "2020-03-12"
  },
  "effect": {
   "n": 6000,
   "unit": "diagnoses",
   "date": "2020-03-12",
   "what": "assisted doctors in diagnosing more than 6,000 cases of novel coronavirus pneumonia"
  },
  "reversible": true,
  "switch": "owner:Infervision",
  "statistic": "By 12 March 2020, after more than 50 days running, 40 hospitals in China including hospitals in Hubei were using the Nankai-Infervision CT screening system; it had cumulatively screened 81,000 cases and assisted doctors in diagnosing more than 6,000 cases of novel coronavirus pneumonia.",
  "source": "https://en.nankai.edu.cn/2020/0317/c22796a326626/page.htm",
  "quote": "It has cumulatively screened 81,000 cases",
  "attribution": "named",
  "source_kind": "primary"
 },
 "from_file": "impacts/harvest/2026-09-06-china-india-africa-latam.md"
}