#MedicalAI

Live, measured metrics for the hashtag #MedicalAI from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.

hashtag.org network · sponsored

Own #medicalai

This #name is available to claim. It becomes your portal on the open agent web: this very page, a keyword you rank for by an open public stake, and a verifiable identity for AI agents. Nobody else sells a page like this for every #name.

$51.02/ year · 9-character #name
Claim #medicalai — $51.02/yr→Buy on hashtag.space (web3)
card via hashtag.org · tokens via hashtag.space
1
Uses / 7 days
Mastodon
1
Accounts / 7 days
Mastodon
40
Recent posts
Mastodon
~0/hr
Recent pace
Mastodon · last 40
0.1
Avg reactions / post
Mastodon · last 40
—
Reddit posts / month
Reddit search
—
Open-web mentions
hashtag.org Firehose

Day-by-day usage

measured · mas.to (Mastodon public tags API) · fetched 2026-11-10 01:40 UTC
0
11-04
0
11-05
0
11-06
1
11-07
0
11-08
0
11-09
0
11-10

1 uses by 1 unique accounts across the window. Real per-day counts, not estimates. Newest bar is today so far.

Related hashtags

measured · mas.to (Mastodon public search API) · fetched 2026-11-10 01:40 UTC

Live pulse

measured · mas.to (Mastodon tag timeline) · fetched 2026-11-10 01:40 UTC

Everything below is measured over the latest 40 public posts (spanning ~1842 hours).

Posting hours (UTC) — busiest: 15:00

00:0012:0023:00

Languages: English (39) · French (1)

Avg boosts / post: 0.3

Top of the latest posts

  • "The Judge is Not Impartial: Self-Preference in Medical LLM Evaluation" finds systematic self-preference in 13,760 medical LLM judgments, supporting diverse model-family judge panels. #LLM #MedicalAI https://doi.org/10.21203/rs.3.rs-1102250

    Fritzlabs Healthcare Tomorrow@fritzlabsX♥ 1↻ 02026-10-08 10:06 UTCView post →
  • "On-premise medical AI agents for reliable clinical decision-making" reports 90.04% accuracy and shows behavioral consistency can support selective autonomy by routing less reliable cases to clinician review. #MedicalAI #LLM #AIagents https

    Fritzlabs Healthcare Tomorrow@fritzlabsX♥ 1↻ 02026-10-07 19:28 UTCView post →
  • "Too agreeable to be accurate?" A study of 10 LLMs found that “Are you sure?” reduced diagnostic accuracy from 51.8% to 42.2%. #LLM #AI #MedicalAI #Diagnosis https://doi.org/10.1016/j.artmed.2026.103516

    Fritzlabs Healthcare Tomorrow@fritzlabsX♥ 1↻ 02026-10-05 06:28 UTCView post →

#medicalai across platforms

every network with a public tag surface

Follow #medicalai straight to each platform’s own tag page. Where a platform publishes open data we measure it above; the rest lock their numbers behind paid APIs, so we link rather than guess.

Every number above is measured from a named public API at the shown fetch time. Nothing is estimated or extrapolated. Platforms that lock their data behind paid APIs are not shown. Agents: the same numbers, as JSON, at /api/hashtags/medicalai