Posts Tagged ‘LLM-NLP’
Transforming 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 MoreLocal 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 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 MoreLarge language model uncertainty proxies: discrimination and calibration for medical diagnosis and treatment.
Link: https://doi.org/10.1093/jamia/ocae254 Authors: Savage, Thomas; Wang, John; Gallo, Robert; Boukil, Abdessalem; Patel, Vishwesh; Safavi-Naini, Seyed Amir Ahmad; Soroush, Ali; Chen, Jonathan H Abstract: The inability of large language models (LLMs) to communicate uncertainty is a significant barrier to their use in medicine. Before LLMs can be integrated into patient care, the field must assess methods…
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 MoreArtificial intelligence-guided detection of under-recognised cardiomyopathies on point-of-care cardiac ultrasonography: a multicentre study.
Link: https://doi.org/S2589-7500(24)00249-8 Authors: Oikonomou, Evangelos K; Vaid, Akhil; Holste, Gregory; Coppi, Andreas; McNamara, Robert L; Baloescu, Cristiana; Krumholz, Harlan M; Wang, Zhangyang; Apakama, Donald J; Nadkarni, Girish N; Khera, Rohan Abstract: Point-of-care ultrasonography (POCUS) enables cardiac imaging at the bedside and in communities but is limited by abbreviated protocols and variation in quality. We aimed…
Read MoreNatural Language Processing Identifies Under-Documentation of Symptoms in Patients on Hemodialysis.
Link: https://doi.org/10.34067/KID.0000000694 Authors: Dai, Yang; Wen, Huei Hsun; Yang, Joanna; Gupta, Neepa; Rhee, Connie; Horowitz, Carol R; Mohottige, Dinushika; Nadkarni, Girish N; Coca, Steven; Chan, Lili Abstract: Patients on hemodialysis (HD) have a high burden of emotional and physical symptoms. These symptoms are often under-recognized. NLP can be used to identify patient symptoms from the…
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 MoreVisual-textual integration in LLMs for medical diagnosis: A preliminary quantitative analysis.
Link: https://doi.org/10.1016/j.csbj.2024.12.019 Authors: Agbareia, Reem; Omar, Mahmud; Soffer, Shelly; Glicksberg, Benjamin S; Nadkarni, Girish N; Klang, Eyal Abstract: Visual data from images is essential for many medical diagnoses. This study evaluates the performance of multimodal Large Language Models (LLMs) in integrating textual and visual information for diagnostic purposes. We tested GPT-4o and Claude Sonnet 3.5…
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