Channel
@NeurosurgeryAssociation
On this record: Growth · Engagement · Reactions · Posts · Citations · Cite this entry
1,413subscribers
-3 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 1,000–3,162.
| Telegram ID | -1001875164896 |
|---|---|
| Type | Channel |
| Username | @NeurosurgeryAssociation |
| Created | Between 1 October 2022 and 30 September 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 12 August 2026 |
| Measurements held | 4 |
| Confirmed unchanged | 1 time, most recently 12 August 2026 |
| On Telegram | t.me/NeurosurgeryAssociation |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 12 Aug 2026, 19:47 | 1,413 | -1 |
| 10 Aug 2026, 03:12 | 1,414 | -2 |
| 7 Aug 2026, 12:30 | 1,416 | no change |
| 6 Aug 2026, 19:17 | 1,416 | first reading |
20 posts held, back to 10 July 2025 — 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 pageof Telegram’s post history, 20 posts per page.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 20 posts for this entry, the most recent from 4 August 2025. An engagement rate over an empty window would be a number about nothing.
86 reactions across 20 posts, in 4 distinct kinds. The most used accounts for 47.7% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 🔥 | 41 | 47.7% | |
| ❤ | 27 | 31.4% | |
| 👍 | 16 | 18.6% | |
| 👏 | 2 | 2.33% |
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 20 of the 20 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 86reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 20 most recent posts we hold, published 10 July 2025 to 4 August 2025, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.
Patients’ Preferences on Informed Consent in the Use of Medical Artificial Intelligence This study, titled “Patient Perspectives on Informed Consentfor the Use of Medical Artificial Intelligence,” empirically examines patients’ preferences regarding disclosure when AI tools are used formedical diagnosis. Through a survey-based experiment conducted in South Korea with 1,000 participants, the findings revealed that pa…
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🔷️ AI Predicts Pituitary Tumor Treatment Outcomes ▫️Revolutionizing Care at MayoClinic - Using the MAPER registry with over 1,200 patients, Mayo Clinic researchers developed accurate machine learning models to predict surgical outcomes for pituitary tumors. The models achieved 91% accuracy for Cushing disease and 81% for acromegaly. ▫️Key Predictive Factors - Tumor size, patient age, BMI, and Knosp-Steiner grade …
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Methodological Reviews ⭕️ Definition: Methodological reviews are a type of scientific review that focus not on research results, but on the evaluation and analysis of research methods used in studies. Unlike traditional systematic reviews, which primarily summarize evidence related to intervention effectiveness, methodological reviews aim to identify, assess, and synthesize information about how research is conduc…
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🟣 Living Systematic Review (LSR) ✅ Definition A Living Systematic Review (LSR) is an innovative approach to synthesizing scientific evidence, designed to continuously update the results of a systematic review as new studies become available. Unlike traditional reviews that are published once and remain static, LSRs operate dynamically and are perpetually updated. 🎯 Why LSR is Essential - Rapid generation of new sci…
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Rapid review techniques: Rapid reviews are an accelerated method of synthesizing scientific evidence within a limited timeframe, commonly used in fields like education, healthcare, and policymaking. Unlike traditional systematic reviews, rapid reviews streamline steps such as searching, screening, and analysis to respond quickly to urgent questions. This often involves limiting the number of databases searched, usin…
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💠 Beyond Single Studies: Meta-synthesis of Qualitative Studies 🔹 In qualitative research, each study often reveals only a piece of the larger picture. To build a more comprehensive and deeper understanding, researchers turn to meta-synthesis – a structured method for synthesizing qualitative findings. 🔹 What is Meta-synthesis? ✅ A type of systematic review that analyzes and integrates findings from qualitative stu…
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The Role of Artificial Intelligence in Vital Sign Monitoring 🔹Artificial intelligence (AI) has recently emerged as an innovative and transformative tool in the continuous monitoring of vital signs, particularly in neurosurgical settings. Using machine learning and deep learning algorithms, it enables the analysis of complex physiological data such as heart rate, blood pressure, respiratory rate, oxygen saturation, a…
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Post-Operative Recovery Tracking in Cranial Tumor Resection 🔹Post-operative recovery tracking in neurosurgery for cranial tumor resection monitors patient progress to optimize outcomes, reduce complications, shorten hospital stays, and improve quality of life. 🔻Key methods include: • Pain Assessment: The Visual Analog Scale (VAS, 0-10) tracks pain to guide analgesia (e.g., paracetamol), minimizing opioid use. • …
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Ethics of AI in Healthcare: Navigating Privacy, Bias, and Trust in 2025 🔹AI is revolutionizing diagnosis and treatment but raises serious ethical concerns like privacy, bias, and patient trust. 🔹Privacy: Encryption and data anonymization are essential to protect sensitive patient information. 🔹Algorithmic Bias: Non-representative data can lead to healthcare inequality; diverse and fair data collection is crucial. …
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🧠Instrument Tracking Systems in neurosurgery, enhanced by the power of artificial intelligence 🔸These systems serve as the “third eye” of neurosurgeons in the operating room. They track surgical instruments in real time and, using advanced AI algorithms, determine their position relative to sensitive brain structures. 🔹By combining infrared cameras with computer vision techniques (e.g., YOLO) and deep learning mode…
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🧠 How to Respond to Reviewer Comments A Professional Guide for Researchers Responding to reviewers is a key and often critical point of the research publication process. Acquiring this skill will further increase the probability of getting accepted, and it reflects the author’s scientific maturity and knowledge in the area of the proposal topic; The following tenets are suggested to be incorporated in composing eff…
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🧠Surgical Planning Assistance Using Neural AI 🔹Neural artificial intelligence is rapidly transforming the way surgical planning is performed. By analyzing large volumes of medical images (such as CT and MRI scans), neural networks can help surgeons visualize anatomical structures more clearly and predict potential complications before the operation. 🔹For instance, convolutional neural networks (CNNs) can automatica…
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Showing the 12 most recent of 20 posts we hold for @NeurosurgeryAssociation. 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.
Citation-graph rank — 574,113 of 1,169,250entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.
Republishes
Channels on the register whose posts this channel has forwarded.
Built only from forwarded posts we have actually read, on both sides. Coverage is early and deliberately incomplete: a missing link means we have not read the post that would prove it, never that the relationship does not exist. Counts are distinct forwarded posts observed, so they only ever go up as we read more.
Named by 4 registered channels — 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.
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 August 2026 — this entry's latest reading, not the date you are reading this.
“Neurosurgery Association” (@NeurosurgeryAssociation), 1,413 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/NeurosurgeryAssociation.
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.