Zobrazeno 1 - 10
of 53
pro vyhledávání: '"Hari Trivedi"'
Autor:
Galvin Khara, Hari Trivedi, Mary S. Newell, Ravi Patel, Tobias Rijken, Peter Kecskemethy, Ben Glocker
Publikováno v:
Communications Medicine, Vol 4, Iss 1, Pp 1-8 (2024)
Abstract Background Breast density is an important risk factor for breast cancer complemented by a higher risk of cancers being missed during screening of dense breasts due to reduced sensitivity of mammography. Automated, deep learning-based predict
Externí odkaz:
https://doaj.org/article/b910727982df40bea180bb8dd9e55884
Autor:
Hanzhou Li, Janice Newsome, Judy Wawira Gichoya, Nicholas J Lima, John T Moon, Eleanor Froula, Hari Trivedi, Zachary Bercu
Publikováno v:
BMJ Health & Care Informatics, Vol 31, Iss 1 (2024)
In the following narrative review, we discuss the potential role of large language models (LLMs) in medical device innovation, specifically examples using generative pretrained transformer-4. Throughout the biodesign process, LLMs can offer prompt-dr
Externí odkaz:
https://doaj.org/article/16952b371c5344908ebdc0f93332e881
Autor:
Andrew Dennis Smith, Hari Trivedi, Houman Sotoudeh, Jordan D Perchik, Marcelo Straus Takahashi, Paul H Yi, Srini Tridandapani, Steven A Rothenberg, Vishwa Parekh
Publikováno v:
Journal of Global Radiology, Vol 10, Iss 1 (2024)
Introduction: Applications of artificial intelligence (AI) in radiology continue to increase every year, however most radiology residencies lack a dedicated AI education curriculum. Fundamental AI education resources are even more sparse for trainees
Externí odkaz:
https://doaj.org/article/fdad4eed745f4e31be71a53eb390de38
Autor:
Areeba Abid, Avinash Murugan, Imon Banerjee, Saptarshi Purkayastha, Hari Trivedi, Judy Gichoya
Publikováno v:
JMIR Medical Education, Vol 10, p e46500 (2024)
BackgroundArtificial intelligence (AI) and machine learning (ML) are poised to have a substantial impact in the health care space. While a plethora of web-based resources exist to teach programming skills and ML model development, there are few intro
Externí odkaz:
https://doaj.org/article/50d2422b922a4054b9261ac5d3a5f61d
Autor:
InChan Hwang, Hari Trivedi, Beatrice Brown-Mulry, Linglin Zhang, Vineela Nalla, Aimilia Gastounioti, Judy Gichoya, Laleh Seyyed-Kalantari, Imon Banerjee, MinJae Woo
Publikováno v:
Frontiers in Radiology, Vol 3 (2023)
IntroductionTo date, most mammography-related AI models have been trained using either film or digital mammogram datasets with little overlap. We investigated whether or not combining film and digital mammography during training will help or hinder m
Externí odkaz:
https://doaj.org/article/510870a7a9b24600b756cf8c8b7885f4
Autor:
Priya Deshpande, Alexander Rasin, Roselyne Tchoua, Jacob Furst, Daniela Raicu, Michiel Schinkel, Hari Trivedi, Sameer Antani
Publikováno v:
Frontiers in Big Data, Vol 6 (2023)
Data integration is a well-motivated problem in the clinical data science domain. Availability of patient data, reference clinical cases, and datasets for research have the potential to advance the healthcare industry. However, the unstructured (text
Externí odkaz:
https://doaj.org/article/b7505530cc804846bec06c67ee9fcb16
Autor:
Amara Tariq, Leo Anthony Celi, Janice M. Newsome, Saptarshi Purkayastha, Neal Kumar Bhatia, Hari Trivedi, Judy Wawira Gichoya, Imon Banerjee
Publikováno v:
npj Digital Medicine, Vol 4, Iss 1, Pp 1-9 (2021)
Abstract The strain on healthcare resources brought forth by the recent COVID-19 pandemic has highlighted the need for efficient resource planning and allocation through the prediction of future consumption. Machine learning can predict resource util
Externí odkaz:
https://doaj.org/article/36af332facc2437695b030d5732ceb23
Autor:
Wendy Zhang, Hari Trivedi, Matthew Adams, Aaron D. Losey, Chris J. Diederich, Eugene Ozhinsky, Viola Rieke, Matthew D. Bucknor
Publikováno v:
International Journal of Hyperthermia, Vol 38, Iss 1, Pp 130-135 (2021)
Objective To develop a thermochromic tissue-mimicking phantom (TTMP) with an embedded 3D-printed bone mimic of the lumbar spine to evaluate MRgFUS ablation of the facet joint and medial branch nerve. Materials and methods Multiple 3D-printed material
Externí odkaz:
https://doaj.org/article/b513295f40d645639ad6e905f81afb6b
Publikováno v:
Journal of Pathology Informatics, Vol 13, Iss , Pp 100003- (2022)
Pathology reports primarily consist of unstructured free text and thus the clinical information contained in the reports is not trivial to access or query. Multiple natural language processing (NLP) techniques have been proposed to automate the codin
Externí odkaz:
https://doaj.org/article/ee60c341a22c4d3db53a40e233d05b15
Autor:
Hanzhou Li, John T Moon, Saptarshi Purkayastha, Leo Anthony Celi, Hari Trivedi, Judy W Gichoya
Publikováno v:
The Lancet Digital Health. 5:e333-e335