Posts Tagged ‘Critical Care’
Local large language models for privacy-preserving accelerated review of historic echocardiogram reports.
Link: https://doi.org/10.1093/jamia/ocae085 Authors: Vaid, Akhil; Duong, Son Q; Lampert, Joshua; Kovatch, Patricia; Freeman, Robert; Argulian, Edgar; Croft, Lori; Lerakis, Stamatios; Goldman, Martin; Khera, Rohan; Nadkarni, Girish N Abstract: The study developed framework that leverages an open-source Large Language Model (LLM) to enable clinicians to ask plain-language questions about a patient’s entire echocardiogram report history. This…
Read MoreEvaluating the accuracy of a state-of-the-art large language model for prediction of admissions from the emergency room.
Link: https://doi.org/10.1093/jamia/ocae103 Authors: Glicksberg, Benjamin S; Timsina, Prem; Patel, Dhaval; Sawant, Ashwin; Vaid, Akhil; Raut, Ganesh; Charney, Alexander W; Apakama, Donald; Carr, Brendan G; Freeman, Robert; Nadkarni, Girish N; Klang, Eyal Abstract: Artificial intelligence (AI) and large language models (LLMs) can play a critical role in emergency room operations by augmenting decision-making about patient admission.…
Read MoreTransforming Cardiovascular Care With Artificial Intelligence: From Discovery to Practice: JACC State-of-the-Art Review.
Link: https://doi.org/S0735-1097(24)07195-X Authors: Khera, Rohan; Oikonomou, Evangelos K; Nadkarni, Girish N; Morley, Jessica R; Wiens, Jenna; Butte, Atul J; Topol, Eric J Abstract: Artificial intelligence (AI) has the potential to transform every facet of cardiovascular practice and research. The exponential rise in technology powered by AI is defining new frontiers in cardiovascular care, with innovations…
Read MoreDeep Learning-Based Electrocardiogram Analysis Predicts Biventricular Dysfunction and Dilation in Congenital Heart Disease.
Link: https://doi.org/S0735-1097(24)07676-9 Authors: Mayourian, Joshua; Gearhart, Addison; La Cava, William G; Vaid, Akhil; Nadkarni, Girish N; Triedman, John K; Powell, Andrew J; Wald, Rachel M; Valente, Anne Marie; Geva, Tal; Duong, Son Q; Ghelani, Sunil J Abstract: Artificial intelligence-enhanced electrocardiogram (AI-ECG) analysis shows promise to detect biventricular pathophysiology. However, AI-ECG analysis remains underexplored in congenital…
Read MoreExtracting social support and social isolation information from clinical psychiatry notes: comparing a rule-based natural language processing system and a large language model.
Link: https://doi.org/10.1093/jamia/ocae260 Authors: Patra, Braja Gopal; Lepow, Lauren A; Kasi Reddy Jagadeesh Kumar, Praneet; Vekaria, Veer; Sharma, Mohit Manoj; Adekkanattu, Prakash; Fennessy, Brian; Hynes, Gavin; Landi, Isotta; Sanchez-Ruiz, Jorge A; Ryu, Euijung; Biernacka, Joanna M; Nadkarni, Girish N; Talati, Ardesheer; Weissman, Myrna; Olfson, Mark; Mann, J John; Zhang, Yiye; Charney, Alexander W; Pathak, Jyotishman Abstract:…
Read MoreClinical factors associated with hospital mortality in critically ill adult COVID-19 patients with AKI requiring CRRT: A multicenter study.
Link: https://doi.org/10.5414/CN111404 Authors: Cama-Olivares, Augusto; Tamhane, Ashutosh; Ortiz-Soriano, Victor; Farrell, Douglas; Wen, Huei Hsun; Takeuchi, Tomonori; Devansh, Patel; Galasso, Francesco; Chen, Jin; Chan, Lili; Tolwani, Ashita J; Nadkarni, Girish N; Neyra, Javier A Abstract: Acute kidney injury (AKI) is a common complication of critically ill COVID-19 patients which is associated with adverse outcomes. We examined…
Read MorePeripheral Transcriptomics in Acute and Long-Term Kidney Dysfunction in SARS-CoV2 Infection.
Link: https://doi.org/10.34067/KID.0000000727 Authors: Jayaraman, Pushkala; Rajagopal, Madhumitha; Paranjpe, Ishan; Suarez-Farinas, Mayte; Liharska, Lora; Thompson, Ryan; Del Valle, Diane Marie; Beckmann, Noam; Lund, Anina N; Gownivaripally, Pooja; Oh, Wonsuk; Gulamali, Faris F; Kauffman, Justin; Gonzalez-Kozlova, Edgar; Dellepiane, Sergio; Vasquez-Rios, George; Vaid, Akhil; Jiang, Joy; Fox, Ben; Sakhuja, Ankit; Chen, Steven; Kenigsberg, Ephraim; He, John Cijiang; Coca,…
Read MoreNutriSighT: Interpretable Transformer Model for Dynamic Prediction of Hypocaloric Enteral Nutrition in Mechanically Ventilated Patients.
Link: https://doi.org/10.1101/2025.01.06.25320067 Authors: Jangda, Mateen; Patel, Jayshil; Gill, Jaskirat; McCarthy, Paul; Desman, Jacob; Gupta, Rohit; Patel, Dhruv; Kavi, Nidhi; Bakare, Shruti; Klang, Eyal; Freeman, Robert; Manasia, Anthony; Oropello, John; Chan, Lili; Suarez-Farinas, Mayte; Charney, Alexander W; Kohli-Seth, Roopa; Nadkarni, Girish N; Sakhuja, Ankit Abstract: Achieving adequate enteral nutrition among mechanically ventilated patients is challenging, yet…
Read MoreEffect of Tiered Implementation of Clinical Decision Support System for Acute Kidney Injury and Nephrotoxin Exposure in Cardiac Surgery Patients.
Link: https://doi.org/10.1055/s-0044-1791822 Authors: Justice, Christopher M; Nevin, Connor; Neely, Rebecca L; Dilcher, Brian; Kovacic-Scherrer, Nicole; Carter-Templeton, Heather; Ostrowski, Aaron; Krafcheck, Jacob; Smith, Gordon; McCarthy, Paul; Pincavitch, Jami; Kane-Gill, Sandra; Freeman, Robert; Kellum, John A; Kohli-Seth, Roopa; Nadkarni, Girish N; Shawwa, Khaled; Sakhuja, Ankit Abstract: Nephrotoxin exposure may worsen kidney injury and impair kidney recovery if…
Read MoreUse of a large language model (LLM) for ambulance dispatch and triage.
Link: https://doi.org/S0735-6757(24)00715-0 Authors: Shekhar, Aditya C; Kimbrell, Joshua; Saharan, Aaryan; Stebel, Jacob; Ashley, Evan; Abbott, Ethan E Abstract: Large language models (LLMs) have grown in popularity in recent months and have demonstrated advanced clinical reasoning ability. Given the need to prioritize the sickest patients requesting emergency medical services (EMS), we attempted to identify if an…
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