Posts Tagged ‘Critical Care’
Multiomic foundations of human prefrontal cortex tissue function.
Link: https://doi.org/10.1101/2024.05.17.24307537 Authors: Kopell, Brian H; Kaji, Deepak A; Liharska, Lora E; Vornholt, Eric; Valentine, Alissa; Lund, Anina; Hashemi, Alice; Thompson, Ryan C; Lohrenz, Terry; Johnson, Jessica S; Bussola, Nicole; Cheng, Esther; Park, You Jeong; Shah, Punit; Ma, Weiping; Searfoss, Richard; Qasim, Salman; Miller, Gregory M; Chand, Nischal Mahaveer; Aristel, Alisha; Humphrey, Jack; Wilkins, Lillian;…
Read MoreHelicopter emergency medical services (HEMS) response to out-of-hospital cardiac arrest (OHCA) in the United States.
Link: https://doi.org/10.1016/j.resplu.2024.100658 Authors: Shekhar, Aditya C; Auten, Michael; Abbott, Ethan E; McCartin, Michael; Blumen, Ira J Abstract: Helicopter emergency medical services (HEMS) are used in the United States and globally to respond to patients with critical illness and victims of traumatic injury. Relatively limited research has examined their role in responding to out-of-hospital cardiac arrests…
Read MoreMachine learning derived serum creatinine trajectories in acute kidney injury in critically ill patients with sepsis.
Link: https://doi.org/10.1186/s13054-024-04935-x Authors: Takkavatakarn, Kullaya; Oh, Wonsuk; Chan, Lili; Hofer, Ira; Shawwa, Khaled; Kraft, Monica; Shah, Neomi; Kohli-Seth, Roopa; Nadkarni, Girish N; Sakhuja, Ankit Abstract: Current classification for acute kidney injury (AKI) in critically ill patients with sepsis relies only on its severity-measured by maximum creatinine which overlooks inherent complexities and longitudinal evaluation of this…
Read MoreNeuropsychiatric complications of coronavirus disease 2019: Mount Sinai Health System cohort study.
Link: https://doi.org/10.1007/s00415-024-12370-9 Authors: Gururangan, Kapil; Peschansky, Veronica J; Van Hyfte, Grace; Agarwal, Parul; Blank, Leah J; Mathew, Brian; Goldstein, Jonathan; Kwon, Churl-Su; McCarthy, Louise; Cohen, Ariella; Chan, Andy Ho Wing; Deng, Pojen; Dhamoon, Mandip; Gutzwiller, Eveline; Hao, Qing; He, Celestine; Klenofsky, Britany; Lemus, Hernan Nicolas; Marcuse, Lara; Navis, Allison; Heredia Nunez, Wilson D; Luckey, Mallory…
Read MoreA Multimodal Video-Based AI Biomarker for Aortic Stenosis Development and Progression.
Link: https://doi.org/10.1001/jamacardio.2024.0595 Authors: Oikonomou, Evangelos K; Holste, Gregory; Yuan, Neal; Coppi, Andreas; McNamara, Robert L; Haynes, Norrisa A; Vora, Amit N; Velazquez, Eric J; Li, Fan; Menon, Venu; Kapadia, Samir R; Gill, Thomas M; Nadkarni, Girish N; Krumholz, Harlan M; Wang, Zhangyang; Ouyang, David; Khera, Rohan Abstract: Aortic stenosis (AS) is a major public health…
Read MorePediatric ECG-Based Deep Learning to Predict Left Ventricular Dysfunction and Remodeling.
Link: https://doi.org/10.1161/CIRCULATIONAHA.123.067750 Authors: Mayourian, Joshua; La Cava, William G; Vaid, Akhil; Nadkarni, Girish N; Ghelani, Sunil J; Mannix, Rebekah; Geva, Tal; Dionne, Audrey; Alexander, Mark E; Duong, Son Q; Triedman, John K Abstract: Artificial intelligence-enhanced ECG analysis shows promise to detect ventricular dysfunction and remodeling in adult populations. However, its application to pediatric populations remains…
Read MoreDerivation, External Validation and Clinical Implications of a deep learning approach for intracranial pressure estimation using non-cranial waveform measurements.
Link: https://doi.org/10.1101/2024.01.30.24301974 Authors: Gulamali, Faris; Jayaraman, Pushkala; Sawant, Ashwin S; Desman, Jacob; Fox, Benjamin; Chang, Annie; Soong, Brian Y; Arivazaghan, Naveen; Reynolds, Alexandra S; Duong, Son Q; Vaid, Akhil; Kovatch, Patricia; Freeman, Robert; Hofer, Ira S; Sakhuja, Ankit; Dangayach, Neha S; Reich, David S; Charney, Alexander W; Nadkarni, Girish N Abstract: Increased intracranial pressure (ICP)…
Read MoreRemote Monitoring and Artificial Intelligence: Outlook for 2050.
Link: https://doi.org/10.1213/ANE.0000000000006712 Authors: Feinstein, Max; Katz, Daniel; Demaria, Samuel; Hofer, Ira S Abstract: Remote monitoring and artificial intelligence will become common and intertwined in anesthesiology by 2050. In the intraoperative period, technology will lead to the development of integrated monitoring systems that will integrate multiple data streams and allow anesthesiologists to track patients more effectively.…
Read MoreQuantitative Prediction of Right Ventricular Size and Function From the ECG.
Link: https://doi.org/10.1161/JAHA.123.031671 Authors: Duong, Son Q; Vaid, Akhil; My, Vy Thi Ha; Butler, Liam R; Lampert, Joshua; Pass, Robert H; Charney, Alexander W; Narula, Jagat; Khera, Rohan; Sakhuja, Ankit; Greenspan, Hayit; Gelb, Bruce D; Do, Ron; Nadkarni, Girish N Abstract: Right ventricular ejection fraction (RVEF) and end-diastolic volume (RVEDV) are not readily assessed through traditional…
Read MoreEvaluating the role of ChatGPT in gastroenterology: a comprehensive systematic review of applications, benefits, and limitations.
Link: https://doi.org/10.1177/17562848231218618 Authors: Klang, Eyal; Sourosh, Ali; Nadkarni, Girish N; Sharif, Kassem; Lahat, Adi Abstract: The integration of artificial intelligence (AI) into healthcare has opened new avenues for enhancing patient care and clinical research. In gastroenterology, the potential of AI tools, specifically large language models like ChatGPT, is being explored to understand their utility and…
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