Posts Tagged ‘Machine Vision’
Automated Identification of Heart Failure With Reduced Ejection Fraction Using Deep Learning-Based Natural Language Processing.
Link: https://doi.org/S2213-1779(24)00618-8 Authors: Nargesi, Arash A; Adejumo, Philip; Dhingra, Lovedeep Singh; 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 limits the implementation of a national program to assess…
Read MoreAutomated Transformation of Unstructured Cardiovascular Diagnostic Reports into Structured Datasets Using Sequentially Deployed Large Language Models.
Link: https://doi.org/10.1101/2024.10.08.24315035 Authors: Shankar, Sumukh Vasisht; Dhingra, Lovedeep S; Aminorroaya, Arya; Adejumo, Philip; Nadkarni, Girish N; Xu, Hua; Brandt, Cynthia; Oikonomou, Evangelos K; Pedroso, Aline F; Khera, Rohan Abstract: Rich data in cardiovascular diagnostic testing are often sequestered in unstructured reports, with the necessity of manual abstraction limiting their use in real-time applications in patient…
Read MoreAdvancing rheumatology with natural language processing: insights and prospects from a systematic review.
Link: https://doi.org/10.1093/rap/rkae120 Authors: Omar, Mahmud; Naffaa, Mohammad E; Glicksberg, Benjamin S; Reuveni, Hagar; Nadkarni, Girish N; Klang, Eyal Abstract: Natural language processing (NLP) and large language models (LLMs) have emerged as powerful tools in healthcare, offering advanced methods for analysing unstructured clinical texts. This systematic review aims to evaluate the current applications of NLP and…
Read MoreDerivation, external and clinical validation of a deep learning approach for detecting intracranial hypertension.
Link: https://doi.org/10.1038/s41746-024-01227-0 Authors: Gulamali, Faris; Jayaraman, Pushkala; Sawant, Ashwin S; Desman, Jacob; Fox, Benjamin; Chang, Annette; Soong, Brian Y; Arivazagan, 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 MoreAssessing GPT-4 multimodal performance in radiological image analysis.
Link: https://doi.org/10.1007/s00330-024-11035-5 Authors: Brin, Dana; Sorin, Vera; Barash, Yiftach; Konen, Eli; Glicksberg, Benjamin S; Nadkarni, Girish N; Klang, Eyal Abstract: This study aims to assess the performance of a multimodal artificial intelligence (AI) model capable of analyzing both images and textual data (GPT-4V), in interpreting radiological images. It focuses on a range of modalities, anatomical…
Read MoreMultimodal fusion learning for long QT syndrome pathogenic genotypes in a racially diverse population.
Link: https://doi.org/10.1038/s41746-024-01218-1 Authors: Jiang, Joy; Thi Vy, Ha My; Charney, Alexander; Kovatch, Patricia; Reddy, Vivek; Jayaraman, Pushkala; Do, Ron; Khera, Rohan; Chugh, Sumeet; Bhatt, Deepak L; Vaid, Akhil; Lampert, Joshua; Nadkarni, Girish Nitin Abstract: Congenital long QT syndrome (LQTS) diagnosis is complicated by limited genetic testing at scale, low prevalence, and normal QT corrected interval…
Read MoreArtificial intelligence-guided detection of under-recognized cardiomyopathies on point-of-care cardiac ultrasound: a multi-center study.
Link: https://doi.org/10.1101/2024.03.10.24304044 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 developed…
Read MoreAccurate prediction of neurologic changes in critically ill infants using pose AI.
Link: https://doi.org/10.1101/2024.04.17.24305953 Authors: Gleason, Alec; Richter, Florian; Beller, Nathalia; Arivazhagan, Naveen; Feng, Rui; Holmes, Emma; Glicksberg, Benjamin S; Morton, Sarah U; La Vega-Talbott, Maite; Fields, Madeline; Guttmann, Katherine; Nadkarni, Girish N; Richter, Felix Abstract: Infant alertness and neurologic changes can reflect life-threatening pathology but are assessed by exam, which can be intermittent and subjective. Reliable,…
Read MoreUtilizing large language models in breast cancer management: systematic review.
Link: https://doi.org/10.1007/s00432-024-05678-6 Authors: Sorin, Vera; Glicksberg, Benjamin S; Artsi, Yaara; Barash, Yiftach; Konen, Eli; Nadkarni, Girish N; Klang, Eyal Abstract: Despite advanced technologies in breast cancer management, challenges remain in efficiently interpreting vast clinical data for patient-specific insights. We reviewed the literature on how large language models (LLMs) such as ChatGPT might offer solutions in…
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…
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