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  1. Article ; Online: Mobile Health in Dialysis: The Best Engagement Medium Is the One that's with Patients.

    Singh, Karandeep

    Clinical journal of the American Society of Nephrology : CJASN

    2020  Volume 16, Issue 1, Page(s) 12–13

    MeSH term(s) Hemodialysis, Home ; Humans ; Renal Dialysis ; Smartphone ; Telemedicine
    Language English
    Publishing date 2020-12-22
    Publishing country United States
    Document type Editorial ; Comment
    ZDB-ID 2226665-3
    ISSN 1555-905X ; 1555-9041
    ISSN (online) 1555-905X
    ISSN 1555-9041
    DOI 10.2215/CJN.18051120
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    Zs.A 6584: Show issues Location:
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  2. Article ; Online: Alert Timing in Sepsis Prediction Models-An Opportunity to Tailor Interventions.

    Balczewski, Emily A / Lyons, Patrick G / Singh, Karandeep

    JAMA network open

    2023  Volume 6, Issue 8, Page(s) e2329704

    MeSH term(s) Humans ; Sepsis/diagnosis
    Language English
    Publishing date 2023-08-01
    Publishing country United States
    Document type Journal Article ; Comment
    ISSN 2574-3805
    ISSN (online) 2574-3805
    DOI 10.1001/jamanetworkopen.2023.29704
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Risk Prediction and Machine Learning: A Case-Based Overview.

    Balczewski, Emily A / Cao, Jie / Singh, Karandeep

    Clinical journal of the American Society of Nephrology : CJASN

    2023  Volume 18, Issue 4, Page(s) 524–526

    MeSH term(s) Humans ; Machine Learning ; Risk Assessment
    Language English
    Publishing date 2023-02-08
    Publishing country United States
    Document type Journal Article ; Research Support, N.I.H., Extramural
    ZDB-ID 2226665-3
    ISSN 1555-905X ; 1555-9041
    ISSN (online) 1555-905X
    ISSN 1555-9041
    DOI 10.2215/CJN.0000000000000083
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article: Case report: Invasive neuromonitoring in status epilepticus induced hypoxic ischemic brain injury.

    Bhatti, Karandeep Singh / Rajagopalan, Swarna

    Frontiers in neurology

    2023  Volume 14, Page(s) 1284098

    Abstract: Objectives: Literature on invasive neuromonitoring and bilateral decompressive craniectomies (BDC) in patients with refractory status epilepticus (RSE)-mediated hypoxic-ischemic brain injury (HIBI) is limited. Neuromonitoring can guide decision making ... ...

    Abstract Objectives: Literature on invasive neuromonitoring and bilateral decompressive craniectomies (BDC) in patients with refractory status epilepticus (RSE)-mediated hypoxic-ischemic brain injury (HIBI) is limited. Neuromonitoring can guide decision making and treatment escalation.
    Methods and results: We report a case of a 17 years-old male who was admitted to our hospital's intensive care unit for RSE. HIBI was detected on neuroimaging on this patient's second day of admission after he developed central diabetes insipidus (DI). Invasive neuromonitoring revealed raised intracranial pressure (ICP) and brain hypoxia as measured by reduced brain tissue oxygen tension (PbtO
    Discussion: SE-mediated HIBI can result in refractory ICP crisis. Neuromonitoring can help identify secondary brain injury (SBI), guide treatment strategies, including surgical interventions, and may lead to better outcomes.
    Language English
    Publishing date 2023-11-30
    Publishing country Switzerland
    Document type Case Reports
    ZDB-ID 2564214-5
    ISSN 1664-2295
    ISSN 1664-2295
    DOI 10.3389/fneur.2023.1284098
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: Lessons in machine learning model deployment learned from sepsis.

    Lyons, Patrick G / Singh, Karandeep

    Med (New York, N.Y.)

    2022  Volume 3, Issue 9, Page(s) 597–599

    Abstract: In three recent and related publications, researchers from Johns Hopkins University and Bayesian Health report results from implementing and prospectively evaluating the Targeted Real-time Early Warning System (TREWS) for sepsis at five hospitals. ...

    Abstract In three recent and related publications, researchers from Johns Hopkins University and Bayesian Health report results from implementing and prospectively evaluating the Targeted Real-time Early Warning System (TREWS) for sepsis at five hospitals.
    MeSH term(s) Bayes Theorem ; Humans ; Machine Learning ; Sepsis/diagnosis ; Universities
    Language English
    Publishing date 2022-08-20
    Publishing country United States
    Document type Journal Article
    ISSN 2666-6340
    ISSN (online) 2666-6340
    DOI 10.1016/j.medj.2022.08.003
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: The Rigorous Work of Evaluating Consistency and Accuracy in Electronic Health Record Data.

    Singh, Karandeep / Woodward, Maria A

    JAMA ophthalmology

    2021  Volume 139, Issue 8, Page(s) 894–895

    MeSH term(s) Data Collection ; Electronic Health Records ; Humans
    Language English
    Publishing date 2021-07-01
    Publishing country United States
    Document type Journal Article ; Comment
    ZDB-ID 2701705-9
    ISSN 2168-6173 ; 2168-6165
    ISSN (online) 2168-6173
    ISSN 2168-6165
    DOI 10.1001/jamaophthalmol.2021.2042
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article ; Online: Moving from "Surgeries" to Patients: Progress and Pitfalls While Using Machine Learning to Personalize Transfusion Prediction.

    Mathis, Michael R / Singh, Karandeep / Kheterpal, Sachin

    Anesthesiology

    2022  Volume 137, Issue 1, Page(s) 9–12

    MeSH term(s) Blood Transfusion ; Humans ; Machine Learning
    Language English
    Publishing date 2022-06-03
    Publishing country United States
    Document type Editorial ; Research Support, N.I.H., Extramural ; Comment
    ZDB-ID 269-0
    ISSN 1528-1175 ; 0003-3022
    ISSN (online) 1528-1175
    ISSN 0003-3022
    DOI 10.1097/ALN.0000000000004250
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    Uk I Zs.133: Show issues Location:
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    Zs.MO 199: Show issues

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  8. Article ; Online: Digitising the prediction and management of sepsis.

    Kheterpal, Sachin / Singh, Karandeep / Topol, Eric J

    Lancet (London, England)

    2022  Volume 399, Issue 10334, Page(s) 1459

    MeSH term(s) Humans ; Sepsis/diagnosis ; Sepsis/therapy
    Language English
    Publishing date 2022-04-01
    Publishing country England
    Document type Journal Article
    ZDB-ID 3306-6
    ISSN 1474-547X ; 0023-7507 ; 0140-6736
    ISSN (online) 1474-547X
    ISSN 0023-7507 ; 0140-6736
    DOI 10.1016/S0140-6736(22)00658-4
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  9. Article ; Online: Editorial: Surfacing best practices for AI software development and integration in healthcare.

    Sendak, Mark / Vidal, David / Trujillo, Sylvia / Singh, Karandeep / Liu, Xiaoxuan / Balu, Suresh

    Frontiers in digital health

    2023  Volume 5, Page(s) 1150875

    Language English
    Publishing date 2023-02-21
    Publishing country Switzerland
    Document type Editorial
    ISSN 2673-253X
    ISSN (online) 2673-253X
    DOI 10.3389/fdgth.2023.1150875
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article ; Online: Artificial Intelligence Systems in CKD: Where Do We Stand and What Will the Future Bring?

    Ananda Padmanabhan, Arjun / Balczewski, Emily A / Singh, Karandeep

    Advances in chronic kidney disease

    2022  Volume 29, Issue 5, Page(s) 461–464

    MeSH term(s) Artificial Intelligence ; Forecasting ; Humans ; Renal Insufficiency, Chronic/diagnosis ; Renal Insufficiency, Chronic/therapy
    Language English
    Publishing date 2022-10-17
    Publishing country United States
    Document type Editorial ; Research Support, Non-U.S. Gov't
    ISSN 1548-5609 ; 1548-5595
    ISSN (online) 1548-5609
    ISSN 1548-5595
    DOI 10.1053/j.ackd.2022.06.004
    Database MEDical Literature Analysis and Retrieval System OnLINE

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