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Channel

پادکستِ MedAI

@MedAIpodcast

On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry

204subscribers

+0 since we began measuring on 12 November 2026

Risers and fallers across the register · movement among entries of Under 1,000.

Register entry

Telegram ID-1004308108552
TypeChannel
Username@MedAIpodcast
Descriptionپادکست هوش مصنوعی در علوم پزشکی | زهرا آقابیگی کاری از مجموعهٔ @MedAISummit
First recorded12 November 2026
Last confirmed live12 November 2026
Measurements held2
On Telegramt.me/MedAIpodcast

Growth

20412 Nov 2026, 02:48 — 204 subscribers12 Nov 2026, 03:22 — 204 subscribers12 Nov 2026, 02:4812 Nov 2026, 03:22
2 measurements taken within a single day. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between — snapshots are recorded only when a count changes, so gaps mean “no change observed”, never “interpolated”. The vertical axis spans 203–205 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
12 Nov 2026, 03:22204no change
12 Nov 2026, 02:48204first reading

Engagement

9 posts held, back to 26 September 2026 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 page of Telegram’s post history, 20 posts per page.

ERR · 30 days
336.2%
avg views ÷ 204 subscribers
Avg views / post
686
4 posts measured
Reaction rate
2.41%
reactions ÷ views · ER floor
Posts in window
4
of 9 held

ERR is average views per post over the last 30 days divided by subscribers, the definition TGStat uses, so this figure is comparable with the one you will see elsewhere. It falls structurally as a channel grows: a high ERR on a small channel and a low one on a large channel describe reach mathematics, not quality. We publish the figure and the sample it came from and pass no verdict on it.

ER is defined industry-wide as (forwards + reactions + comments) ÷ views — note the denominator is views, not subscribers. Telegram’s public web preview carries views and reactions but not forward or comment counts, so the reaction rate above is the reactions term only and is therefore a floor: the true ER for this channel is higher by an amount we have not measured and will not estimate.

What these figures were computed from
WindowRolling 30 days · latest post in window 11 November 2026
Posts held9 (26 September 2026 – 11 November 2026)
Views total2,743
Reactions total66
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken12 Nov 2026, 03:22 UTC

Views are a single reading per post, taken at the time above. A post published in the last day or two is still accumulating views, which pulls the 30-day average down slightly. That is a property of the standard definition rather than a fault in it, so we keep the definition rather than “correcting” the number into something nobody can reproduce.

Precision. Telegram publishes view counts on its public widget in short form — 8.12K, 3.7M — so any reading at or above 1,000 reaches us rounded to three significant figures, and only counts below 1,000 are exact. Averages and rates derived from them are shown to the same precision rather than to the unit: a figure like 3,701,250 would assert digits nobody measured.

Reaction counts are published per emoji and rounded the same way, so a total below 1,000 is exact and a larger one is a sum that may carry a rounded component from each emoji above 1,000. Because it is a sum, it does not look rounded — read a large reaction total as three significant figures per contributing emoji rather than as the figure it prints.

What this channel posts

Photos
6
Videos
1
Links
5

Lifetime counters from Telegram’s own channel header, read 12 November 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.

Video runtime
1m 18s
Average length
1m 18s

Measured directly from 1 video with a duration reading, out of the posts we hold for this channel — not this channel’s whole posting history, only the sample this register has actually read. An exact reading to the second, taken from the post itself rather than from Telegram’s own rounded chrome, so it carries no ≈ mark.

Reaction mix

136 reactions across 8 posts, in 7 distinct kinds. The most used accounts for 58.1% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤7958.1%
🔥1813.2%
😍1611.8%
💯107.35%
👏96.62%
🎉21.47%
🤩21.47%

No sentiment is inferred, and none should be read in. This table is ordered by count and by nothing else. Emoji do not carry stable meaning across languages or communities — 🙏 is thanks in one channel and mourning in another — so we publish which ones were pressed and how often, and pass no judgement on what an audience meant by them.

Precision. Telegram publishes reaction counts per emoji and short-forms each one — 4.34K, 1.2M — so any single kind at or above 1,000 reaches us at three significant figures, and only counts below 1,000 are exact. The shares above are ratios of those figures and carry the same error. This is also why the total here can differ slightly from a reaction total printed elsewhere on the page: both are sums of the same rounded parts, taken over samples with different edges.

Coverage. Reactions were read on 8 of the 9 sampled posts in this sample. Summed by Telegram’s own count on each post — not by adding up the per-emoji breakdown above — those same posts carry 136 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 9 most recent posts we hold, published 26 September 2026 to 11 November 2026, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.

Recent posts

Telegram’s own ‘edited’ marker: 0 of 4 posts held from the last 30 days (0%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).

11 Nov 2026, 15:19 UTC132 views10 reactionsread 12 November 2026

اولین اپیزود تصویری پادکست MedAI بالاخره منتشر شد.😍 برای این اپیزود بیشتر از تصورمون وقت گذاشتیم ، تلاش کردیم و فهمیدیم که ساخت اپیزود تصویری واقعا هم بسیار جذابه هم بسیار چالش برانگیز. اما امیدوارم که خوب دراومده باشه.🥹 تو این اپیزود با دکتر محمد معین فرقانی صحبت کردیم پزشک و مهندس هوش مصنوعی در دکتر نکست. کلی درباره مسیر‌شون از دوران دبیرستان تا دوراهی‌های مختلف ایجاد شده براشون در دوران بعد از فارغ التحصیلی صحبت …

❤7😍2👏1

27 Oct 2026, 12:55 UTC438 views16 reactionsread 12 November 2026
Video

سومین اپیزود پادکست، که اولین اپیزود تصویری‌مون هم هست، به زودی منتشر می‌شه! 💙 تیزر این اپیزود رو ببینید و منتظر ما باشین! 💫

❤7😍6👏1💯1🔥1

24 Oct 2026, 08:10 UTC343 views22 reactionsread 12 November 2026
Photo

خبرهای جدید تو راهه💬 ⏺اپی زود سوم رو دیگه قرار نیست فقط بشنوید😌 منتظر اتفاقات جدید باشید💜

❤13💯5👏3🔥1

14 Oct 2026, 16:30 UTC≈1,830 views18 reactionsread 12 November 2026
Photo

🎙 پادکست MedAI | قسمت دوم هوش مصنوعی در پشت صحنه دارو‌ها🤖 چرا بعضی داروها بعد از سال‌ها تحقیق و هزینه‌های سنگین، به نتیجه نمی‌رسن؟ آیا همیشه مشکل از خود داروه یا شاید از همون اول، مسیر درستی رو برای آزمایشش انتخاب نکردیم🤔؟ توی دومین اپیزود، از یک خبر اتفاقی شروع می‌کنیم و سراغ ایده‌هایی می‌ریم که شاید آینده توسعه دارو رو تغییر بدن. از شبیه‌سازی بدن انسان در دنیای دیجیتال گرفته تا نقش هوش مصنوعی در پیش‌بینی نتایج…

❤10💯3🔥3😍2

8 Oct 2026, 12:59 UTC522 views26 reactionsread 12 November 2026
Photo

سلام به همه‌ی علاقه‌مندان پادکست، خیلی خوش اومدید به جمع ما ❣️ من زهرا آقابیگی ام، این افتخار رو دارم که میزبان شما در سری پادکست‌های هوش مصنوعی در علوم پزشکی (MedAI) باشم و خیلی خوشحالم که مجدد این فرصت برام پیش اومد که بتونم پادکست بسازم و دوباره برگردم تو کار 😎! من از وقتی که یادم میاد مشغول اجرا و گویندگی بودم و دو سه سال قبل کنکور هم با فضای پادکست آشنا شده بودم و حسابی علاقه مند بودم و کار میکردم اما دیگه کنک…

❤14🔥4👏3🎉2😍2💯1

30 Sept 2026, 19:18 UTC≈6,750 views16 reactionsread 12 November 2026
Photo

🎙 پادکست MedAI | قسمت اول هوش مصنوعی و توهم اطمینان وقتی هوش مصنوعی با قطعیت جواب می‌ده، چقدر می‌تونیم بهش اعتماد کنیم؟ ممکنه پشت یک پاسخ قانع‌کننده، اطلاعاتی باشه که مدل از خودش ساخته؛ همون چیزی که بهش «توهم» می‌گیم. توی اولین اپیزود، سراغ چند مقاله تازه رفتیم تا ببینیم چرا اطمینانِ مدل لزوماً به معنی درست‌بودن جوابش نیست و چطور همین لحن مطمئن می‌تونه اعتماد ما رو جلب کنه. 🎧 اگه پیگیر تازه‌های دنیای هوش مصنوعی ه…

❤11🔥3😍2

29 Sept 2026, 18:40 UTC359 views16 reactionsread 12 November 2026
Photo

🎙 پادکست MedAI، شنیدنی‌ترین اخبار هفته! هر روز یه خبر تازه از هوش مصنوعی در پزشکی میاد؛ اما کدومش قراره توی مطب، بیمارستان و زندگی ما فرق ایجاد کنه؟ 🎧 در پادکست MedAI، از تیم MedAI Summit، سراغ تازه‌ترین خبرهای هوش مصنوعی و تکنولوژی در سلامت می‌ریم؛ با هم می‌شنویم پشت تیترها چه خبره و این پیشرفت‌ها برای دنیای پزشکی چه معنایی دارن. 🗓چهارشنبه‌ها، با یه روایت تازه همراهتیم. ◀️همین حالا همراه شو تا از قسمت اول با هم …

❤9🔥4😍2👏1

28 Sept 2026, 19:20 UTC393 views12 reactionsread 12 November 2026
Photo

🎙 A new voice. A new conversation. Coming soon... 🌐 MedAISummit ✈️ Website 💠🌐 LinkedIn 💠🔗 Twitter 💠🌐 Instagram

❤8🔥2🤩2

Showing the 9 most recent of 9 posts we hold for @MedAIpodcast. View and reaction counts are the latest single reading for each post, not a live figure, and a recent post is still accumulating both. A view count marked ≈ was rounded by Telegram before we ever saw it — t.me prints views in full below 1,000 and to three significant figures above, so ≈1,200,000 means somewhere between 1,150,000 and 1,249,999. Unmarked counts are exact. Text is reproduced from the public post preview and truncated for length.

Mentions

Named by 1 registered channel — every channel on the register whose own posts have named this one, by its current username or any other username it currently holds, merged from two separately captured readings of the same fact so a namer caught by only one of them is not missed and a namer both caught is not counted twice. A username this channel has since dropped is not matched — that handle may belong to someone else now, and crediting today’s namer to yesterday’s owner would misattribute it.

Named by

Channels on the register whose posts name this channel's handle.

Names

Channels on the register whose handles appear in this channel's posts.

A mention is a weaker signal than a forward and is counted separately for that reason — naming a channel is not republishing it, and a handle in a post body is easy to place deliberately. The post counts beside each row below are distinct posts in which the handle appeared, from posts we have read on both sides — the “Named by N registered channels” figure above is a different count, of distinct NAMING CHANNELS rather than posts, and is not the sum of the rows under it.

Cite this entry

A live page changes as we take new readings, so a citation should name the measurement it is based on, not just the URL. The line below cites the subscriber count as measured 12 November 2026 — this entry's latest reading, not the date you are reading this.

“پادکستِ MedAI” (@MedAIpodcast), 204 subscribers as measured 12 November 2026. Telegram Register, tgregister.com/channel/MedAIpodcast.

Full measurement history, CC BY 4.0. Every reading this register holds for this entry, not just the latest one, as a dated, downloadable record: CSV · JSON. Free to use with attribution to tgregister.com. Each file carries its own generation timestamp, which is the figure to cite for exactly when the data was retrieved.