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Judy Gichoya

Explore the profile of Judy Gichoya including associated specialties, affiliations and a list of published articles. Areas
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Articles 45
Citations 258
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Recent Articles
1.
Anibal J, Huth H, Boeken T, Daye D, Gichoya J, Munoz F, et al.
J Vasc Interv Radiol . 2025 Mar; PMID: 40086722
No abstract available.
2.
Tariq A, Kaur G, Su L, Gichoya J, Patel B, Banerjee I
J Biomed Inform . 2025 Feb; 163:104794. PMID: 39956347
Objective: While many machine learning and deep learning-based models for clinical event prediction leverage various data elements from electronic healthcare records such as patient demographics and billing codes, such models...
3.
Campbell E, Bear Dont Walk 4th O, Fraser H, Gichoya J, Wagholikar K, Kanter A, et al.
J Am Med Inform Assoc . 2025 Feb; PMID: 39946172
Objective: Developing equitable, sustainable informatics solutions is key to scalability and long-term success for projects in the global health informatics (GHI) domain. This paper presents key strategies for incorporating principles...
4.
Dapamede T, Li F, Khosravi B, Purkayastha S, Trivedi H, Gichoya J
J Imaging Inform Med . 2025 Jan; PMID: 39890738
Image pre-processing has significant impact on performance of deep learning models in medicine; yet, there is no standardized method for DICOM pre-processing. In this study, we investigate the impact of...
5.
Laws E, Palmer J, Alderman J, Sharma O, Ngai V, Salisbury T, et al.
Clin Imaging . 2024 Dec; 118():110369. PMID: 39616879
Purpose: There are many radiological datasets for breast cancer, some which have supported the development of AI medical devices for breast cancer screening and image classification. This review aims to...
6.
Brink L, Romero R, Coombs L, Tilkin M, Mazaheri S, Gichoya J, et al.
J Am Coll Radiol . 2024 Nov; 22(2):211-219. PMID: 39551328
Objective: To demonstrate and test the capabilities of the ACR Connect and AI-LAB software platform by implementing multi-institutional artificial intelligence (AI) training and validation for breast density classification. Methods: In...
7.
Li H, Moon J, Shankar V, Newsome J, Gichoya J, Bercu Z
Tech Vasc Interv Radiol . 2024 Nov; 27(3):100990. PMID: 39490365
Musculoskeletal (MSK) pain leads to significant healthcare utilization, decreased productivity, and disability globally. Due to its complex etiology, MSK pain is often chronic and challenging to manage effectively. Disparities in...
8.
McCoy L, Yu Ci Ng F, Sauer C, Yap Legaspi K, Jain B, Gallifant J, et al.
BMC Med Educ . 2024 Oct; 24(1):1096. PMID: 39375721
Reports of Large Language Models (LLMs) passing board examinations have spurred medical enthusiasm for their clinical integration. Through a narrative review, we reflect upon the skill shifts necessary for clinicians...
9.
Matos J, Gallifant J, Chowdhury A, Economou-Zavlanos N, Charpignon M, Gichoya J, et al.
Crit Care Clin . 2024 Sep; 40(4):827-857. PMID: 39218488
This narrative review focuses on the role of clinical prediction models in supporting informed decision-making in critical care, emphasizing their 2 forms: traditional scores and artificial intelligence (AI)-based models. Acknowledging...
10.
Hao S, Matos J, Dempsey K, Alwakeel M, Houghtaling J, Hong C, et al.
medRxiv . 2024 Aug; PMID: 39211868
Background: Although hypothesized to be the root cause of the pulse oximetry disparities, skin tone and its use for improving medical therapies have yet to be extensively studied. Studies previously...