Zobrazeno 1 - 10
of 197
pro vyhledávání: '"Tyler J Loftus"'
Autor:
Yordan P Penev, Timothy R Buchanan, Matthew M Ruppert, Michelle Liu, Ramin Shekouhi, Ziyuan Guan, Jeremy Balch, Tezcan Ozrazgat-Baslanti, Benjamin Shickel, Tyler J Loftus, Azra Bihorac
Publikováno v:
JMIR Medical Informatics, Vol 12, Pp e58130-e58130 (2024)
Abstract BackgroundElectronic health records (EHRs) have an enormous potential to advance medical research and practice through easily accessible and interpretable EHR-derived databases. Attainability of this potential is limited by issues with data
Externí odkaz:
https://doaj.org/article/5cb43e3ecf7d4e37ae6a155c2b748c12
Autor:
Tyler J Loftus, Jeremy A Balch, Kenneth L Abbott, Die Hu, Matthew M Ruppert, Benjamin Shickel, Tezcan Ozrazgat-Baslanti, Philip A Efron, Patrick J Tighe, William R Hogan, Parisa Rashidi, Michelle I Cardel, Gilbert R Upchurch, Azra Bihorac
Publikováno v:
PLOS Digital Health, Vol 3, Iss 8, p e0000561 (2024)
The degree to which artificial intelligence healthcare research is informed by data and stakeholders from community settings has not been previously described. As communities are the principal location of healthcare delivery, engaging them could repr
Externí odkaz:
https://doaj.org/article/97d2852bab0441d2b2fe5eba8510b341
Autor:
Tyler J Loftus, Jeremy A Balch, Jenna L Marquard, Jessica M Ray, Brian S Alper, Neeraj Ojha, Azra Bihorac, Genevieve Melton-Meaux, Gopal Khanna, Christopher J Tignanelli
Publikováno v:
Digital Health, Vol 10 (2024)
Objective Patients and clinicians rarely experience healthcare decisions as snapshots in time, but clinical decision support (CDS) systems often represent decisions as snapshots. This scoping review systematically maps challenges and facilitators to
Externí odkaz:
https://doaj.org/article/e9525e02d43d4ea4a4cba193127f623a
Autor:
Jeremy A Balch, Matthew M Ruppert, Tyler J Loftus, Ziyuan Guan, Yuanfang Ren, Gilbert R Upchurch, Tezcan Ozrazgat-Baslanti, Parisa Rashidi, Azra Bihorac
Publikováno v:
JMIR Medical Informatics, Vol 11, Pp e48297-e48297 (2023)
BackgroundMachine learning–enabled clinical information systems (ML-CISs) have the potential to drive health care delivery and research. The Fast Healthcare Interoperability Resources (FHIR) data standard has been increasingly applied in developing
Externí odkaz:
https://doaj.org/article/ee7e862ac35f42d796b2443b0ac985c5
Autor:
Tyler J Loftus, Matthew M Ruppert, Benjamin Shickel, Tezcan Ozrazgat-Baslanti, Jeremy A Balch, Philip A Efron, Gilbert R Upchurch, Parisa Rashidi, Christopher Tignanelli, Jiang Bian, Azra Bihorac
Publikováno v:
Digital Health, Vol 8 (2022)
Generalizability, external validity, and reproducibility are high priorities for artificial intelligence applications in healthcare. Traditional approaches to addressing these elements involve sharing patient data between institutions or practice set
Externí odkaz:
https://doaj.org/article/d13fe0d28ee542e49469e09ce07bd701
Autor:
Tyler J Loftus, Benjamin Shickel, Matthew M Ruppert, Jeremy A Balch, Tezcan Ozrazgat-Baslanti, Patrick J Tighe, Philip A Efron, William R Hogan, Parisa Rashidi, Gilbert R Upchurch, Azra Bihorac
Publikováno v:
PLOS Digital Health, Vol 1, Iss 8, p e0000085 (2022)
Mistrust is a major barrier to implementing deep learning in healthcare settings. Entrustment could be earned by conveying model certainty, or the probability that a given model output is accurate, but the use of uncertainty estimation for deep learn
Externí odkaz:
https://doaj.org/article/5aebf1c7fcd842e8a489a2b5d8b4711f
Autor:
Yuanfang Ren, Tyler J Loftus, Yanjun Li, Ziyuan Guan, Matthew M Ruppert, Shounak Datta, Gilbert R Upchurch, Patrick J Tighe, Parisa Rashidi, Benjamin Shickel, Tezcan Ozrazgat-Baslanti, Azra Bihorac
Publikováno v:
PLOS Digital Health, Vol 1, Iss 10, p e0000110 (2022)
During the early stages of hospital admission, clinicians use limited information to make decisions as patient acuity evolves. We hypothesized that clustering analysis of vital signs measured within six hours of hospital admission would reveal distin
Externí odkaz:
https://doaj.org/article/84306749ebe844178f5bfb9efed824a8
Autor:
Tyler J Loftus, Patrick J Tighe, Tezcan Ozrazgat-Baslanti, John P Davis, Matthew M Ruppert, Yuanfang Ren, Benjamin Shickel, Rishikesan Kamaleswaran, William R Hogan, J Randall Moorman, Gilbert R Upchurch, Parisa Rashidi, Azra Bihorac
Publikováno v:
PLOS Digital Health, Vol 1, Iss 1, p e0000006 (2022)
Established guidelines describe minimum requirements for reporting algorithms in healthcare; it is equally important to objectify the characteristics of ideal algorithms that confer maximum potential benefits to patients, clinicians, and investigator
Externí odkaz:
https://doaj.org/article/2b0e333fb5e549789eb87876a49c41eb
Autor:
Tyler J Loftus, Tezcan Ozrazgat-Baslanti, Azra Bihorac, Mark S Segal, Rajesh Mohandas, Yuanfang Ren, Esra Adiyeke, Shunshun Miao, Haleh Hashemighouchani, Rubab Islam, Saraswathi Gopal, Elizabeth A Shenkman, Panos Pardalos, Babette Brumback
Publikováno v:
BMJ Health & Care Informatics, Vol 28, Iss 1 (2021)
Objectives Acute kidney injury (AKI) affects up to one-quarter of hospitalised patients and 60% of patients in the intensive care unit (ICU). We aim to understand the baseline characteristics of patients who will develop distinct AKI trajectories, de
Externí odkaz:
https://doaj.org/article/8ce52d5ae223451fad6b557aa23d3b71
Publikováno v:
SAGE Open Medical Case Reports, Vol 7 (2019)
Rectal prolapse is usually of benign etiology. Rarely, sigmoido-rectal intussusception results from a malignant lead-point. We report the case of a patient with a partially obstructing sigmoid cancer causing a full thickness rectal prolapse requiring
Externí odkaz:
https://doaj.org/article/8f29369da9464e4f96195a78bec70718