Posts Tagged ‘Deep Learning’
Deep 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 MoreEffects of Mirikizumab on Histologic Resolution of Crohn’s Disease in a Randomized Controlled Phase 2 Trial.
Link: https://doi.org/10.1016/j.cgh.2023.11.010 Authors: Magro, Fernando; Protic, Marijana; De Hertogh, Gert; Chan, Lai Shan; Pollack, Paul; Jairath, Vipul; Carlier, Hilde; Hon, Emily; Feagan, Brian G; Harpaz, Noam; Pai, Rish; Reinisch, Walter Abstract: Histologic evaluation of mucosal healing in Crohn’s disease is an evolving treatment target. We evaluated histologic outcomes for mirikizumab efficacy and associations with endoscopic…
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 MoreA clustering approach to improve our understanding of the genetic and phenotypic complexity of chronic kidney disease.
Link: https://doi.org/10.21203/rs.3.rs-3424565/v1 Authors: Eoli, Andrea; Ibing, Susanne; Schurmann, Claudia; Nadkarni, Girish N; Heyne, Henrike; Böttinger, Erwin Abstract: Chronic kidney disease (CKD) is a complex disorder that causes a gradual loss of kidney function, affecting approximately 9.1% of the world’s population. Here, we use a soft-clustering algorithm to deconstruct its genetic heterogeneity. First, we selected 322…
Read MoreImplications of the Use of Artificial Intelligence Predictive Models in Health Care Settings : A Simulation Study.
Link: https://doi.org/10.7326/M23-0949 Authors: Vaid, Akhil; Sawant, Ashwin; Suarez-Farinas, Mayte; Lee, Juhee; Kaul, Sanjeev; Kovatch, Patricia; Freeman, Robert; Jiang, Joy; Jayaraman, Pushkala; Fayad, Zahi; Argulian, Edgar; Lerakis, Stamatios; Charney, Alexander W; Wang, Fei; Levin, Matthew; Glicksberg, Benjamin; Narula, Jagat; Hofer, Ira; Singh, Karandeep; Nadkarni, Girish N Abstract: Substantial effort has been directed toward demonstrating uses of…
Read MoreComparing ChatGPT and GPT-4 performance in USMLE soft skill assessments.
Link: https://doi.org/10.1038/s41598-023-43436-9 Authors: Brin, Dana; Sorin, Vera; Vaid, Akhil; Soroush, Ali; Glicksberg, Benjamin S; Charney, Alexander W; Nadkarni, Girish; Klang, Eyal Abstract: The United States Medical Licensing Examination (USMLE) has been a subject of performance study for artificial intelligence (AI) models. However, their performance on questions involving USMLE soft skills remains unexplored. This study aimed…
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 MoreReversal of dual epigenetic repression of non-canonical Wnt-5a normalises diabetic corneal epithelial wound healing and stem cells.
Link: https://doi.org/10.1007/s00125-023-05960-1 Authors: Shah, Ruchi; Spektor, Tanya M; Weisenberger, Daniel J; Ding, Hui; Patil, Rameshwar; Amador, Cynthia; Song, Xue-Ying; Chun, Steven T; Inzalaco, Jake; Turjman, Sue; Ghiam, Sean; Jeong-Kim, Jiho; Tolstoff, Sasha; Yampolsky, Sabina V; Sawant, Onkar B; Rabinowitz, Yaron S; Maguen, Ezra; Hamrah, Pedram; Svendsen, Clive N; Saghizadeh, Mehrnoosh; Ljubimova, Julia Y; Kramerov, Andrei…
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 MoreInteratrial Block Association With Adverse Cardiovascular Outcomes in Patients Without a History of Atrial Fibrillation.
Link: https://doi.org/S2405-500X(23)00254-2 Authors: Lampert, Joshua; Power, David; Havaldar, Shreyas; Govindarajulu, Usha; Kawamura, Iwanari; Maan, Abhishek; Miller, Marc A; Menon, Kartikeya; Koruth, Jacob; Whang, William; Bagiella, Emilia; Bayes-Genis, Antoni; Musikantow, Daniel; Turagam, Mohit; Bayes de Luna, Antoni; Halperin, Jonathan; Dukkipati, Srinivas R; Vaid, Akhil; Nadkarni, Girish; Glicksberg, Benjamin; Fuster, Valentin; Reddy, Vivek Y Abstract: Interatrial block…
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