Mozziyar Etemadi
Overview
Explore the profile of Mozziyar Etemadi including associated specialties, affiliations and a list of published articles.
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60
Citations
2081
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Recent Articles
1.
Friedewald S, Sieniek M, Jansen S, Mahvar F, Kohlberger T, Schacht D, et al.
Breast Cancer Res Treat
. 2025 Jan;
PMID: 39881074
Purpose: Many breast centers are unable to provide immediate results at the time of screening mammography which results in delayed patient care. Implementing artificial intelligence (AI) could identify patients who...
2.
Koh J, Caron S, Watters A, Vaidyanathan M, Melnick D, Santi A, et al.
JMIR Form Res
. 2025 Jan;
9:e58628.
PMID: 39879093
Background: Patient recruitment and data management are laborious, resource-intensive aspects of clinical research that often dictate whether the successful completion of studies is possible. Technological advances present opportunities for streamlining...
3.
Richardson K, Nichols C, Stegeman R, Zachs D, Tuma A, Heller J, et al.
IEEE Sens J
. 2024 Nov;
24(10):17219-17230.
PMID: 39507379
Joint acoustic emissions (JAEs) have been used as a non-invasive sensing modality of joint health for different conditions such as acute injuries, osteoarthritis (OA), and rheumatoid arthritis (RA). Recent hardware...
4.
Wittbrodt M, Klug M, Etemadi M, Yang A, Pandolfino J, Keswani R
Endosc Int Open
. 2024 Jul;
12(7):E849-E853.
PMID: 38966321
Low-quality colonoscopy increases cancer risk but measuring quality remains challenging. We developed an automated, interactive assessment of colonoscopy quality (AI-CQ) using machine learning (ML). Based on quality guidelines, metrics selected...
5.
Kiraly A, Cunningham C, Najafi R, Nabulsi Z, Yang J, Lau C, et al.
Radiol Artif Intell
. 2024 Mar;
6(3):e230079.
PMID: 38477661
Purpose To evaluate the impact of an artificial intelligence (AI) assistant for lung cancer screening on multinational clinical workflows. Materials and Methods An AI assistant for lung cancer screening was...
6.
Huang J, Galal G, Mukhin V, Etemadi M, Tanna A
J Glaucoma
. 2024 Jan;
33(4):246-253.
PMID: 38245813
Prcis: A deep learning model trained on macular OCT imaging studies detected clinically significant functional glaucoma progression and was also able to predict future progression. Objective: To use macular optical...
7.
Huang J, Neill L, Wittbrodt M, Melnick D, Klug M, Thompson M, et al.
JAMA Netw Open
. 2023 Oct;
6(10):e2336100.
PMID: 37796505
Importance: Multimodal generative artificial intelligence (AI) methodologies have the potential to optimize emergency department care by producing draft radiology reports from input images. Objective: To evaluate the accuracy and quality...
8.
Yu J, Johnson E, Deng Y, Zhang S, Melnick D, Etemadi M, et al.
AMIA Jt Summits Transl Sci Proc
. 2023 Jun;
2023:320-329.
PMID: 37350919
Atrial fibrillation (AF) is the most common sustained cardiac arrhythmia in clinical practice and has a well-established association with coronary artery bypass graft (CABG) surgery. Being able to predict post-operative...
9.
Azizi S, Culp L, Freyberg J, Mustafa B, Baur S, Kornblith S, et al.
Nat Biomed Eng
. 2023 Jun;
7(6):756-779.
PMID: 37291435
Machine-learning models for medical tasks can match or surpass the performance of clinical experts. However, in settings differing from those of the training dataset, the performance of a model can...
10.
Kou W, Soni P, Klug M, Etemadi M, Kahrilas P, Pandolfino J, et al.
Neurogastroenterol Motil
. 2023 Feb;
35(7):e14549.
PMID: 36808777
Background: Functional lumen imaging probe (FLIP) Panometry is performed at the time of sedated endoscopy and evaluates esophageal motility in response to distension. This study aimed to develop and test...