Zobrazeno 1 - 10
of 28
pro vyhledávání: '"Marzyeh Ghassem"'
Publikováno v:
Machine Learning for Biomedical Imaging. 1:1-38
Across the world's coronavirus disease 2019 (COVID-19) hot spots, the need to streamline patient diagnosis and management has become more pressing than ever. As one of the main imaging tools, chest X-rays (CXRs) are common, fast, non-invasive, relati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::14e45802923838156afd7f0f84921c29
https://doi.org/10.59275/j.melba.2020-48g7
https://doi.org/10.59275/j.melba.2020-48g7
Autor:
Jeremy Petch, Walter Nelson, Mary Wu, Marzyeh Ghassemi, Alexander Benz, Mehdi Fatemi, Shuang Di, Anthony Carnicelli, Christopher Granger, Robert Giugliano, Hwanhee Hong, Manesh Patel, Lars Wallentin, John Eikelboom, Stuart J. Connolly
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-13 (2024)
Abstract While novel oral anticoagulants are increasingly used to reduce risk of stroke in patients with atrial fibrillation, vitamin K antagonists such as warfarin continue to be used extensively for stroke prevention across the world. While effecti
Externí odkaz:
https://doaj.org/article/6db51a257d0f457d9853b9379a910044
Autor:
Sujay Nagaraj, Sarah Goodday, Thomas Hartvigsen, Adrien Boch, Kopal Garg, Sindhu Gowda, Luca Foschini, Marzyeh Ghassemi, Stephen Friend, Anna Goldenberg
Publikováno v:
npj Digital Medicine, Vol 6, Iss 1, Pp 1-9 (2023)
Abstract Stress is associated with numerous chronic health conditions, both mental and physical. However, the heterogeneity of these associations at the individual level is poorly understood. While data generated from individuals in their day-to-day
Externí odkaz:
https://doaj.org/article/95f74e280a5e4c09811b974aefc4c19f
Publikováno v:
Translational Psychiatry, Vol 13, Iss 1, Pp 1-9 (2023)
Abstract Advancements in artificial intelligence (AI) are enabling the development of clinical support tools (CSTs) in psychiatry to facilitate the review of patient data and inform clinical care. To promote their successful integration and prevent o
Externí odkaz:
https://doaj.org/article/1d4bfee4c7cd4dc1a60777430a844c86
Autor:
Jack Gallifant, Amelia Fiske, Yulia A. Levites Strekalova, Juan S. Osorio-Valencia, Rachael Parke, Rogers Mwavu, Nicole Martinez, Judy Wawira Gichoya, Marzyeh Ghassemi, Dina Demner-Fushman, Liam G. McCoy, Leo Anthony Celi, Robin Pierce
Publikováno v:
PLOS Digital Health, Vol 3, Iss 1 (2024)
Externí odkaz:
https://doaj.org/article/50295fd360de4af4ae677b477ade7e7c
Autor:
Reema Shah, Jeremy Petch, Walter Nelson, Karsten Roth, Michael D. Noseworthy, Marzyeh Ghassemi, Hertzel C. Gerstein
Publikováno v:
Journal of Diabetes, Vol 15, Iss 2, Pp 145-151 (2023)
Abstract Objective To determine whether nailfold capillary images, acquired using video capillaroscopy, can provide diagnostic information about diabetes and its complications. Research Design and Methods Nailfold video capillaroscopy was performed i
Externí odkaz:
https://doaj.org/article/3edc2cf856fb4e98af7fc88e87d80df6
Autor:
Susanne Gaube, Harini Suresh, Martina Raue, Eva Lermer, Timo K. Koch, Matthias F. C. Hudecek, Alun D. Ackery, Samir C. Grover, Joseph F. Coughlin, Dieter Frey, Felipe C. Kitamura, Marzyeh Ghassemi, Errol Colak
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-11 (2023)
Abstract Artificial intelligence (AI)-generated clinical advice is becoming more prevalent in healthcare. However, the impact of AI-generated advice on physicians’ decision-making is underexplored. In this study, physicians received X-rays with cor
Externí odkaz:
https://doaj.org/article/e3ca1f53dc7b4d2fba2ae5b522997f4c
Publikováno v:
Communications Medicine, Vol 2, Iss 1, Pp 1-6 (2022)
Adam et al. evaluate the impact of biased AI recommendations on emergency decisions made by respondents to mental health crises. They find that descriptive rather than prescriptive recommendations made by the AI decision support system are more likel
Externí odkaz:
https://doaj.org/article/20d5ecf1f884460a91cb948284e5ea6f
Autor:
Amol A. Verma, MD, Chloe Pou-Prom, MSc, Liam G. McCoy, MD, Joshua Murray, MSc, Bret Nestor, MEng, Shirley Bell, RN, Ophyr Mourad, MD, Michael Fralick, MD, Jan Friedrich, MD, Marzyeh Ghassemi, PhD, Muhammad Mamdani, PharmD
Publikováno v:
Critical Care Explorations, Vol 5, Iss 5, p e0897 (2023)
OBJECTIVES:. Hospital early warning systems that use machine learning (ML) to predict clinical deterioration are increasingly being used to aid clinical decision-making. However, it is not known how ML predictions complement physician and nurse judgm
Externí odkaz:
https://doaj.org/article/5a8049e87e9e40dd9f8282dd3a27b9d8
Autor:
Bret Nestor, Jaryd Hunter, Raghu Kainkaryam, Erik Drysdale, Jeffrey B Inglis, Allison Shapiro, Sujay Nagaraj, Marzyeh Ghassemi, Luca Foschini, Anna Goldenberg
Publikováno v:
The Lancet: Digital Health, Vol 5, Iss 4, Pp e182-e184 (2023)
Externí odkaz:
https://doaj.org/article/44d739587764475aa9b1bbcae749f5e9