Enhancing Interstitial Lung Disease Diagnoses Through Multimodal <scp>AI</scp> Integration of Histopathological and <scp>CT</scp> Image Data

Combining CT and histopathological images, the multimodal AI algorithm enhances pathologists' diagnostic accuracy, consistency, and confidence in identifying UIP, even in cases where specialised expertise is limited.

Authors

Institutions

Publication Details

Journal
Respirology
Published
2025-04-02
DOI
https://doi.org/10.1111/resp.70036
Citations
7
Primary Topic
Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis
Type
article
Field-Weighted Citation Impact
10.63

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Enhancing Interstitial Lung Disease Diagnoses Through Multimodal AI Integration of Histopathological and CT Image Data

Kensuke Kataoka, Yoshihiro Kato, Yasuhiro Kondo, Yoshiaki Zaizen et al.
7 citations
Respirology
Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis
10.63
article

Enhancing Interstitial Lung Disease Diagnoses Through Multimodal AI Integration of Histopathological and CT Image Data

Kensuke Kataoka, Yoshihiro Kato, Yasuhiro Kondo, Yoshiaki Zaizen, Alberto Cavazza, Takeshi Johkoh, Alberto M. Marchevsky, Mutsumi Ozasa, Jaroslaw Augustyniak, Naoko Tsuyama, Maxwell L. Smith, Amna Almutrafi, Anja C. Roden, Ryoko Egashira, André L. Moreira, Shin Ichihara, Junya Fukuoka, Ichiro Mori, Alexandre Todorovic Fabro, Frank Schneider, Kris Lami, Richard Attanoos, Luka Brčić, Wataru Uegami, Han‐Seung Yoon, X. Che
article en
7 citations

Abstract

Combining CT and histopathological images, the multimodal AI algorithm enhances pathologists' diagnostic accuracy, consistency, and confidence in identifying UIP, even in cases where specialised expertise is limited.

RespirologyVol. 30(8)
Kurume University (JP), Cedars-Sinai Medical Center (US), Mayo Clinic (US), Emory University (US), Saga University (JP), Universidade de São Paulo (BR), Tokyo Future University (JP), Medical University of Graz (AT), King Fahd Medical City (SA), Azienda Sanitaria Unità Locale di Reggio Emilia (IT), Kansai Rosai Hospital (JP), Kameda Medical Center (JP), Sapporo Kosei General Hospital (JP), Mayo Clinic in Arizona (US), Istituti di Ricovero e Cura a Carattere Scientifico (IT), Tosei General Hospital (JP), Japanese Foundation For Cancer Research (JP), Nagasaki University (JP), New York University (US), Kitasato University (JP), International University of Health and Welfare (JP), Cardiff University (GB)
New Energy and Industrial Technology Development Organization, Ministry of Health, Labour and Welfare
Openalex Percentile: Top 2%
Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis
10.63
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.