Celebrating and Recognising Excellence in Patient & Public Engagement and Involvement

This talk was presented as part of the conference titled ‘Pioneering AI in Multiple Long-Term Conditions: Bridging Research and Practice,’ held on 9-10 September and organised by AIM RSF. The conference provided an opportunity for the AI and multiple long-term conditions (MLTC) community to come together, including AIM researchers, data scientists, clinical practitioners, and individuals with lived experience of MLTC. Attendees were able to build relationships, share their work, and enhance their skills. It also served as a platform to celebrate the progress across the AIM Programme and the broader landscape, while identifying opportunities for collaboration. Such collaboration is essential to advancing cutting-edge research in one of healthcare’s most pressing challenges: the study of multiple long-term conditions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-10-24
DOI
https://doi.org/10.5281/zenodo.13987470
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Celebrating and Recognising Excellence in Patient & Public Engagement and Involvement

Zenodo (CERN European Organization for Nuclear Research)
Artificial Intelligence in Healthcare and Education
article

Celebrating and Recognising Excellence in Patient & Public Engagement and Involvement

article en

Abstract

This talk was presented as part of the conference titled ‘Pioneering AI in Multiple Long-Term Conditions: Bridging Research and Practice,’ held on 9-10 September and organised by AIM RSF. The conference provided an opportunity for the AI and multiple long-term conditions (MLTC) community to come together, including AIM researchers, data scientists, clinical practitioners, and individuals with lived experience of MLTC. Attendees were able to build relationships, share their work, and enhance their skills. It also served as a platform to celebrate the progress across the AIM Programme and the broader landscape, while identifying opportunities for collaboration. Such collaboration is essential to advancing cutting-edge research in one of healthcare’s most pressing challenges: the study of multiple long-term conditions

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 66%
Artificial Intelligence in Healthcare and Education
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.