Kenny H Cha
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Explore the profile of Kenny H Cha including associated specialties, affiliations and a list of published articles.
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22
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616
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Recent Articles
1.
Burgon A, Zhang Y, Petrick N, Sahiner B, Cha K, Samala R
IEEE J Biomed Health Inform
. 2024 Nov;
29(2):1444-1454.
PMID: 39499598
The future of artificial intelligence (AI) safety is expected to include bias mitigation methods from development to application. The complexity and integration of these methods could grow in conjunction with...
2.
Samala R, Drukker K, Shukla-Dave A, Chan H, Sahiner B, Petrick N, et al.
BJR Artif Intell
. 2024 Jun;
1(1):ubae006.
PMID: 38828430
Innovation in medical imaging artificial intelligence (AI)/machine learning (ML) demands extensive data collection, algorithmic advancements, and rigorous performance assessments encompassing aspects such as generalizability, uncertainty, bias, fairness, trustworthiness, and interpretability....
3.
Mahmood U, Shukla-Dave A, Chan H, Drukker K, Samala R, Chen Q, et al.
BJR Artif Intell
. 2024 Mar;
1(1):ubae003.
PMID: 38476957
The adoption of artificial intelligence (AI) tools in medicine poses challenges to existing clinical workflows. This commentary discusses the necessity of context-specific quality assurance (QA), emphasizing the need for robust...
4.
Kahaki S, Hagemann I, Cha K, Trindade C, Petrick N, Kostelecky N, et al.
J Med Imaging (Bellingham)
. 2024 Feb;
11(1):017502.
PMID: 38370423
Purpose: Endometrial cancer (EC) is the most common gynecologic malignancy in the United States, and atypical endometrial hyperplasia (AEH) is considered a high-risk precursor to EC. Hormone therapies and hysterectomy...
5.
Burgon A, Sahiner B, Petrick N, Pennello G, Cha K, Samala R
J Med Imaging (Bellingham)
. 2024 Jan;
11(1):014501.
PMID: 38283653
Purpose: Understanding an artificial intelligence (AI) model's ability to generalize to its target population is critical to ensuring the safe and effective usage of AI in medical devices. A traditional...
6.
Wang X, Sahiner B, Scully C, Cha K
Annu Int Conf IEEE Eng Med Biol Soc
. 2023 Dec;
2023:1-5.
PMID: 38083445
Labeled ECG data in diseased state are, however, relatively scarce due to various concerns including patient privacy and low prevalence. We propose the first study in its kind that synthesizes...
7.
Coroller T, Sahiner B, Amatya A, Gossmann A, Karagiannis K, Moloney C, et al.
Clin Pharmacol Ther
. 2023 Nov;
115(4):745-757.
PMID: 37965805
In 2020, Novartis Pharmaceuticals Corporation and the U.S. Food and Drug Administration (FDA) started a 4-year scientific collaboration to approach complex new data modalities and advanced analytics. The scientific question...
8.
Sun D, Hadjiiski L, Alva A, Zakharia Y, Joshi M, Chan H, et al.
Tomography
. 2022 Mar;
8(2):644-656.
PMID: 35314631
This observer study investigates the effect of computerized artificial intelligence (AI)-based decision support system (CDSS-T) on physicians' diagnostic accuracy in assessing bladder cancer treatment response. The performance of 17 observers...
9.
Petrick N, Akbar S, Cha K, Nofech-Mozes S, Sahiner B, Gavrielides M, et al.
J Med Imaging (Bellingham)
. 2021 May;
8(3):034501.
PMID: 33987451
: The breast pathology quantitative biomarkers (BreastPathQ) challenge was a grand challenge organized jointly by the International Society for Optics and Photonics (SPIE), the American Association of Physicists in Medicine...
10.
Hadjiiski L, Cha K, Cohan R, Chan H, Caoili E, Davenport M, et al.
Tomography
. 2020 Jun;
6(2):194-202.
PMID: 32548296
We evaluated the intraobserver variability of physicians aided by a computerized decision-support system for treatment response assessment (CDSS-T) to identify patients who show complete response to neoadjuvant chemotherapy for bladder...