Evidence map›Paper›PMID 41774138›Full record

ArticleAbdominal radiology (New York)2026

TSNet: a multi-modal deep learning framework for subtyping appendicitis: integrating ultrasound images, handcrafted features, and clinical data.

Zhuanghe He, Rong Ma, Xinyi Huang, Liren Yang, Erqing Liao, Yang Chen

Abstract read
PubMed Publisher
In one paragraph

Article in Abdominal radiology (New York), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Zhuanghe HeDepartment of Medical Ultrasound, West China Hospital, Sichuan University, Chengdu, 610041, China.
Rong MaDepartment of Medical Ultrasound, West China Hospital, Sichuan University, Chengdu, 610041, China.
Xinyi HuangDepartment of Medical Ultrasound, West China Hospital, Sichuan University, Chengdu, 610041, China.
Liren YangDepartment of West China Biomedical Big Data Center, West China Hospital, Sichuan University, Chengdu, 610041, China.
Erqing LiaoDepartment of Radiology, West China Hospital, Sichuan University, Chengdu, 610041, China.
Yang ChenDepartment of Medical Ultrasound, West China Hospital, Sichuan University, Chengdu, 610041, China. Sophie-0627@163.com.

Funding

the 1·3·5 projects for Artificial Intelligence, West China Hospital, Sichuan University. ZYAI24056the National Natural Science Foundation of China (No. 82102148the Sichuan Science and Technology Program No.2024NSFSC0660
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

Appendicitis subtypingChronic appendicitisDeep learningMulti-modal fusionUltrasound

Identifiers

PMID41774138

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.