# A multimodal deep learning model for cardiac resynchronisation therapy response prediction

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/a-multimodal-deep-learning-model-for-cardiac-resynchronisation-therapy-response/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Esther Puyol‐Antón,Baldeep S. Sidhu,Justin Gould,Bradley Porter,Mark K. Elliott,Vishal Mehta,Christopher A. Rinaldi,Andrew P. King |
| Citations | 43 |
| DOI | 10.1016/j.media.2022.102465 |
| Fields | Medicine |
| Open Access | true |
| OA Status | hybrid |
| OA URL | https://www.sciencedirect.com/science/article/pii/S1361841522001128/pdf |
| OpenAlex ID | https://openalex.org/W3185097911 |
| PMID | 35487111 |
| Type | article |
| Year | 2022 |

## Paper authors

- [Vishal Mehta](https://scholariq.org/researchers/vishal-mehta/)

## Paper primary topic

- [Cardiac pacing and defibrillation studies](https://scholariq.org/topics/cardiac-pacing-and-defibrillation-studies/)

## Paper topics

- [Cardiac pacing and defibrillation studies](https://scholariq.org/topics/cardiac-pacing-and-defibrillation-studies/)
- [Voice and Speech Disorders](https://scholariq.org/topics/voice-and-speech-disorders/)
- [Cardiac Arrhythmias and Treatments](https://scholariq.org/topics/cardiac-arrhythmias-and-treatments/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.