Benjamin Hou
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Explore the profile of Benjamin Hou including associated specialties, affiliations and a list of published articles.
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15
Citations
92
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Recent Articles
1.
Jin Q, Wan N, Leaman R, Tian S, Wang Z, Yang Y, et al.
ArXiv
. 2025 Jan;
PMID: 39801619
Large language models (LLMs) represent a transformative class of AI tools capable of revolutionizing various aspects of healthcare by generating human-like responses across diverse contexts and adapting to novel tasks...
2.
Zhu Q, Chen X, Jin Q, Hou B, Mathai T, Mukherjee P, et al.
Proc (IEEE Int Conf Healthc Inform)
. 2024 Dec;
2024:402-411.
PMID: 39691157
In radiology, Artificial Intelligence (AI) has significantly advanced report generation, but automatic evaluation of these AI-produced reports remains challenging. Current metrics, such as Conventional Natural Language Generation (NLG) and Clinical...
3.
Hou B, Lee S, Lee J, Koh C, Xiao J, Pickhardt P, et al.
ArXiv
. 2024 Oct;
PMID: 39398214
Purpose: To evaluate the performance of an automated deep learning method in detecting ascites and subsequently quantifying its volume in patients with liver cirrhosis and ovarian cancer. Materials And Methods:...
4.
Mukherjee P, Hou B, Suri A, Zhuang Y, Parnell C, Lee N, et al.
Radiology
. 2024 Oct;
313(1):e240609.
PMID: 39352277
Background GPT-4V (GPT-4 with vision, ChatGPT; OpenAI) has shown impressive performance in several medical assessments. However, few studies have assessed its performance in interpreting radiologic images. Purpose To assess and...
5.
Zhu Q, Chen X, Jin Q, Hou B, Mathai T, Mukherjee P, et al.
ArXiv
. 2024 Jun;
PMID: 38903745
In radiology, Artificial Intelligence (AI) has significantly advanced report generation, but automatic evaluation of these AI-produced reports remains challenging. Current metrics, such as Conventional Natural Language Generation (NLG) and Clinical...
6.
Zhuang Y, Mathai T, Mukherjee P, Khoury B, Kim B, Hou B, et al.
ArXiv
. 2024 Jun;
PMID: 38903743
Background: Segmentation of organs and structures in abdominal MRI is useful for many clinical applications, such as disease diagnosis and radiotherapy. Current approaches have focused on delineating a limited set...
7.
Hou B, Lee S, Lee J, Koh C, Xiao J, Pickhardt P, et al.
Radiol Artif Intell
. 2024 Jun;
6(5):e230601.
PMID: 38900043
Purpose To evaluate the performance of an automated deep learning method in detecting ascites and subsequently quantifying its volume in patients with liver cirrhosis and patients with ovarian cancer. Materials...
8.
Hou B, Mathai T, Liu J, Parnell C, Summers R
Int J Comput Assist Radiol Surg
. 2024 May;
19(8):1589-1596.
PMID: 38758290
Purpose: Body composition measurements from routine abdominal CT can yield personalized risk assessments for asymptomatic and diseased patients. In particular, attenuation and volume measures of muscle and fat are associated...
9.
Hou B, Mathai T, Liu J, Parnell C, Summers R
ArXiv
. 2024 Feb;
PMID: 38410656
Purpose: Body composition measurements from routine abdominal CT can yield personalized risk assessments for asymptomatic and diseased patients. In particular, attenuation and volume measures of muscle and fat are associated...
10.
Mukherjee P, Hou B, Lanfredi R, Summers R
Radiology
. 2023 Oct;
309(1):e231147.
PMID: 37815442
Background Large language models (LLMs) such as ChatGPT, though proficient in many text-based tasks, are not suitable for use with radiology reports due to patient privacy constraints. Purpose To test...