Posts Tagged ‘Machine Vision’
Derivation, 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 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 MoreDeep Learning and Gastric Cancer: Systematic Review of AI-Assisted Endoscopy.
Link: https://doi.org/10.3390/diagnostics13243613 Authors: Klang, Eyal; Sourosh, Ali; Nadkarni, Girish N; Sharif, Kassem; Lahat, Adi Abstract: Gastric cancer (GC), a significant health burden worldwide, is typically diagnosed in the advanced stages due to its non-specific symptoms and complex morphological features. Deep learning (DL) has shown potential for improving and standardizing early GC detection. This systematic review…
Read MoreValidation of a convolutional neural network that reliably identifies electromyographic compound motor action potentials following train-of-four stimulation: an algorithm development experimental study.
Link: https://doi.org/10.1016/j.bjao.2023.100236 Authors: Epstein, Richard H; Perez, Olivia F; Hofer, Ira S; Renew, J Ross; Brull, Sorin J; Nemes, Réka Abstract: International guidelines recommend quantitative neuromuscular monitoring when administering neuromuscular blocking agents. The train-of-four count is important for determining the depth of block and appropriate reversal agents and doses. However, identifying valid compound motor action…
Read MoreAutomated Identification of Heart Failure with Reduced Ejection Fraction using Deep Learning-based Natural Language Processing.
Link: https://doi.org/10.1101/2023.09.10.23295315 Authors: Nargesi, Arash A; Adejumo, Philip; Dhingra, Lovedeep; Rosand, Benjamin; Hengartner, Astrid; Coppi, Andreas; Benigeri, Simon; Sen, Sounok; Ahmad, Tariq; Nadkarni, Girish N; Lin, Zhenqiu; Ahmad, Faraz S; Krumholz, Harlan M; Khera, Rohan Abstract: The lack of automated tools for measuring care quality has limited the implementation of a national program to assess…
Read MoreA Novel ECG-Based Deep Learning Algorithm to Predict Cardiomyopathy in Patients With Premature Ventricular Complexes.
Link: https://doi.org/S2405-500X(23)00339-0 Authors: Lampert, Joshua; Vaid, Akhil; Whang, William; Koruth, Jacob; Miller, Marc A; Langan, Marie-Noelle; Musikantow, Daniel; Turagam, Mohit; Maan, Abhishek; Kawamura, Iwanari; Dukkipati, Srinivas; Nadkarni, Girish N; Reddy, Vivek Y Abstract: Premature ventricular complexes (PVCs) are prevalent and, although often benign, they may lead to PVC-induced cardiomyopathy. We created a deep-learning algorithm to…
Read MoreNatural Language Processing Can Automate Extraction of Barrett’s Esophagus Endoscopy Quality Metrics.
Link: https://doi.org/10.1101/2023.07.11.23292529 Authors: Soroush, Ali; Diamond, Courtney J; Zylberberg, Haley M; May, Benjamin; Tatonetti, Nicholas; Abrams, Julian A; Weng, Chunhua Abstract: To develop an automated natural language processing (NLP) method for extracting high-fidelity Barrett’s Esophagus (BE) endoscopic surveillance and treatment data from the electronic health record (EHR). Patients who underwent BE-related endoscopies between 2016 and…
Read MoreDeep Learning on Electrocardiograms for Prediction of In-hospital Intradialytic Hypotension in Patients with ESKD.
Link: https://doi.org/10.34067/KID.0000000000000208 Authors: Vaid, Akhil; Takkavatakarn, Kullaya; Divers, Jasmin; Charytan, David M; Chan, Lili; Nadkarni, Girish N Abstract: Intradialytic hypotension is common in patients who are on hemodialysis. We applied deep learning techniques to ECGs to predict patients at risk of IDH. The performance of the model was good with an AUC of 0.763 and…
Read MoreA foundational vision transformer improves diagnostic performance for electrocardiograms.
Link: https://doi.org/10.1038/s41746-023-00840-9 Authors: Vaid, Akhil; Jiang, Joy; Sawant, Ashwin; Lerakis, Stamatios; Argulian, Edgar; Ahuja, Yuri; Lampert, Joshua; Charney, Alexander; Greenspan, Hayit; Narula, Jagat; Glicksberg, Benjamin; Nadkarni, Girish N Abstract: The electrocardiogram (ECG) is a ubiquitous diagnostic modality. Convolutional neural networks (CNNs) applied towards ECG analysis require large sample sizes, and transfer learning approaches for biomedical…
Read MoreNatural Language Processing in Nephrology.
Link: https://doi.org/S1548-5595(22)00128-8 Authors: Van Vleck, Tielman T; Farrell, Douglas; Chan, Lili Abstract: Unstructured data in the electronic health records contain essential patient information. Natural language processing (NLP), teaching a computer to read, allows us to tap into these data without needing the time and effort of manual chart abstraction. The core first step for all…
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