501(c)(3) nonprofit · Menlo Park, CaliforniaEIN 99-1345787

Open knowledge / AI & multimodal

Learning across
different signals.

Selected academic work on generative AI, multimodal data fusion, and foundation models in medical imaging.

IN THIS COLLECTION

04selected academic
publication records

Explore the collection Matthew P. Lungren · co-authored research

Selected bibliography

AI & multimodal research

Selected academic publications by the named researchers, including work completed at other institutions. Inclusion does not imply that OPEN funded or sponsored the work.

4 publication records

01 /2024Journal perspective

Journal of the American Medical Informatics Association · 31(6), 1441–1444 · 2024

Ensuring useful adoption of generative artificial intelligence in healthcare

Jenelle A. Jindal, Matthew P. Lungren, Nigam H. Shah

A perspective on bringing generative AI into healthcare systems, with attention to adoption, organizational culture, and practical value.

DOI: 10.1093/jamia/ocae043 (opens in a new tab)

02 /2025Preprint · not peer reviewed

Research Square · Version 1 · April 28, 2025 · PMC12060978

A Systematic Review and Implementation Guidelines of Multimodal Foundation Models in Medical Imaging

Shih-Cheng Huang, Malte Jensen, Serena Yeung-Levy, Matthew P. Lungren, Hoifung Poon, Akshay S. Chaudhari

A review of multimodal foundation models for medical imaging. The linked PMC version is a preprint and has not been peer reviewed by a journal.

DOI: 10.21203/rs.3.rs-5537908/v1 (opens in a new tab)

Version history

An earlier medRxiv version has DOI 10.1101/2024.10.23.24316003 and the title ‘Multimodal Foundation Models for Medical Imaging - A Systematic Review and Implementation Guidelines’. These are versions of the same research, not two separate publications.

Earlier preprint (opens in a new tab)
03 /2020Journal review

npj Digital Medicine · 3, Article 136 · October 16, 2020

Fusion of medical imaging and electronic health records using deep learning: a systematic review and implementation guidelines

Shih-Cheng Huang, Anuj Pareek, Saeed Seyyedi, Imon Banerjee, Matthew P. Lungren

A systematic review of techniques that combine medical imaging with electronic health records, with implementation guidance for multimodal data fusion.

DOI: 10.1038/s41746-020-00341-z (opens in a new tab)

04 /2020Conference paper · EMNLP 2020

EMNLP 2020 · arXiv:2004.09167 · revised October 18, 2020

CheXbert: Combining Automatic Labelers and Expert Annotations for Accurate Radiology Report Labeling Using BERT

Akshay Smit, Saahil Jain, Pranav Rajpurkar, Anuj Pareek, Andrew Y. Ng, Matthew P. Lungren

A BERT-based approach to radiology report labeling that brings together automated labels and expert annotations.

DOI: 10.48550/arXiv.2004.09167 (opens in a new tab)

Source records establish titles, authors, dates, and publication status. They do not establish OPEN sponsorship. Preprints are explicitly identified. Metadata reviewed October 20, 2026.

Find your way

Use ↑ ↓ to move and Enter to open.

Your view

Display settings

Appearance

Animated energy paths

Subtle movement shows the direction of energy.

0.5× · slower2× · faster

Preferences are saved on this device when browser storage is available. Your device's reduced-motion setting is always respected.