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Lungren, Matthew P
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1

Ensuring useful adoption of generative artificial intellige..:

Jindal, Jenelle A ; Lungren, Matthew P ; Shah, Nigam H
Journal of the American Medical Informatics Association.  31 (2024)  6 - p. 1441-1444 , 2024
Link: https://doi.org/10.1093/..
 
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2

Author Correction: Opportunistic detection of type 2 diabet..:

Pyrros, Ayis ; Borstelmann, Stephen M. ; Mantravadi, Ramana...
Nature Communications.  15 (2024)  1 - p. , 2024
Link: https://doi.org/10.1038/..
 
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3

Reply:

Lungren, Matthew P. ; Fishman, Elliot K. ; Chu, Linda C...
Journal of the American College of Radiology.  21 (2024)  7 - p. 991-992 , 2024
Link: https://doi.org/10.1016/..
 
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4

More Is Different: Large Language Models in Health Care:

Lungren, Matthew P. ; Fishman, Elliot K. ; Chu, Linda C...
Journal of the American College of Radiology.  21 (2024)  7 - p. 1151-1154 , 2024
Link: https://doi.org/10.1016/..
 
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5

AI-clinician collaboration via disagreement prediction: A d..:

Sanchez, Morgan ; Alford, Kyle ; Krishna, Viswesh...
Cell Reports Medicine.  4 (2023)  10 - p. 101207 , 2023
Link: https://doi.org/10.1016/..
 
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6

Taking Off with AI: Lessons from Aviation for Healthcare:

, In: Proceedings of the 3rd ACM Conference on Equity and Access in Algorithms, Mechanisms, and Optimization,
Bondi-Kelly, Elizabeth ; Hartvigsen, Tom ; Sanneman, Lindsay M... - p. 1-14 , 2023
Link: https://dl.acm.org/doi/1..
 
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7

CheXstray: A Real-Time Multi-Modal Monitoring Workflow for ..:

, In: Lecture Notes in Computer Science; Medical Image Computing and Computer Assisted Intervention – MICCAI 2023,
Merkow, Jameson ; Soin, Arjun ; Long, Jin... - p. 326-336 , 2023
Link: https://doi.org/10.1007/..
 
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8

Opportunistic detection of type 2 diabetes using deep learn..:

Pyrros, Ayis ; Borstelmann, Stephen M. ; Mantravadi, Ramana...
Nature Communications.  14 (2023)  1 - p. , 2023
Link: https://doi.org/10.1038/..
 
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9

Learning to Exploit Temporal Structure for Biomedical Visio..:

, In: 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR),
Bannur, Shruthi ; Hyland, Stephanie ; Liu, Qianchu... - p. 15016-15027 , 2023
Link: https://doi.org/10.1109/..
 
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10

Self-supervised learning for medical image classification: ..:

Huang, Shih-Cheng ; Pareek, Anuj ; Jensen, Malte...
npj Digital Medicine.  6 (2023)  1 - p. , 2023
Link: https://doi.org/10.1038/..
 
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11

Validation and algorithmic audit of a deep learning system ..:

Oakden-Rayner, Lauren ; Gale, William ; Bonham, Thomas A...
The Lancet Digital Health.  4 (2022)  5 - p. e351-e358 , 2022
Link: https://doi.org/10.1016/..
 
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12

Benchmarking saliency methods for chest X-ray interpretatio:

Saporta, Adriel ; Gui, Xiaotong ; Agrawal, Ashwin...
Nature Machine Intelligence.  4 (2022)  10 - p. 867-878 , 2022
Link: https://doi.org/10.1038/..
 
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13

Artificial intelligence in veterinary care will be a major ..:

Lungren, Matthew P. ; Wilson, Diane U
Veterinary Radiology & Ultrasound.  63 (2022)  S1 - p. 913-915 , 2022
Link: https://doi.org/10.1111/..
 
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14

AI recognition of patient race in medical imaging: a modell..:

Gichoya, Judy Wawira ; Banerjee, Imon ; Bhimireddy, Ananth Reddy...
The Lancet Digital Health.  4 (2022)  6 - p. e406-e414 , 2022
Link: https://doi.org/10.1016/..
 
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15

Developing medical imaging AI for emerging infectious disea..:

Huang, Shih-Cheng ; Chaudhari, Akshay S. ; Langlotz, Curtis P....
Nature Communications.  13 (2022)  1 - p. , 2022
Link: https://doi.org/10.1038/..
 
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