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Artificial Intelligence (AI) in Learning and Discovery: Mount Sinai-Authored AI Publications
Latest Articles
This feed features Mount Sinai-authored publications on developments in AI in healthcare. View the five most recent articles below.
Scopus is an interdisciplinary database that provides citations and abstracts for journal articles, books, and book chapters across a wide range of subjects. Scopus's content spans from 1996 to the present and includes citation metrics for individual articles as well as for journals.
Run a search of recent Scopus (a large, multidisciplinary database) articles on Mount Sinai-authored publications that mention AI, with results sorted by Relevance (Mount Sinai login required). Note: this is a focused search that does not cover all of the technologies you may consider to be AI.
Here is the syntax for a more detailed search that you could expand on or edit in the Scopus "Advanced Document Search" window:
((AF-ID("Icahn School of Medicine at Mount Sinai" 60012981) OR AF-ID("The Mount Sinai Medical Center" 60000764) OR AF-ID("The Mount Sinai Hospital" 60004670) OR AF-ID("Beth Israel Medical Center" 60027954) OR AF-ID("New York Eye and Ear Infirmary of Mount Sinai" 60006022) OR AF-ID("Phillips Beth Israel School of Nursing" 60021879) OR AFFIL("phillips school of nursing") OR AFFIL("sinai south nassau") OR AFFIL("mt. sinai" PRE/15 ("new york" OR ny)) OR AFFIL("mount sinai" PRE/15 ("new york" OR ny)))) AND (TITLE-ABS-KEY(ai OR "Artificial Intelligence" OR "artificial intelligence" OR "machine learning" OR "computational intelligence" OR "machine intelligence" OR "deep learning" OR "neural networks" OR "natural language processing" OR "computer vision" OR "predictive modeling" OR "algorithmic learning" OR "intelligent systems" OR "automated reasoning" OR "reinforcement learning" OR "cognitive computing" OR "intelligent automation" OR "automated decision-making" OR "Bayesian networks" OR "big data analytics" OR "speech recognition" OR "computer-assisted diagnosis" OR "generative models" OR "supervised learning" OR "unsupervised learning" OR "hybrid intelligence" OR "cognitive robotics" OR "virtual agents" OR "cognitive augmentation" OR "fuzzy logic" OR "fuzzy function" OR "swarm intelligence" OR "meta-learning" OR "transfer learning" OR "linear regression model" OR "classification algorithm" OR "anomaly detection" OR "dimensionality reduction" OR "cost function" OR "gradient descent" OR vectorization OR GPT OR "gen-ai" OR "generative ai" OR "large language model" OR openai OR chatgpt OR llm OR "augmented intelligence" OR "transformer model" OR "pre-trained model" OR "conversational ai" OR "text generator" OR "adaption model" OR autoencoder OR "autonomous robot" OR "backtracking algorithm" OR "machine learning algorithm" OR "cellular neural network" OR chatbot OR chatbots OR "classification algorithm" OR "federated learning" OR "detection algorithm" OR "generative adversarial network" OR "genetic algorithm" OR "hidden markov model" OR "intelligent system" OR "long short term memory" OR "multiple-instance learning algorithm" OR "multiple instance learning algorithm" OR "recurrent neural network") )
Icahn School of Medicine Science Journal Supplement, Nov 2023
This supplement to the journal Science, sponsored by the Icahn School of Medicine, contains eight articles which discuss the use of AI in medicine and medical research. Oberst J, editor. Supplement: Frontiers of medical research: Artificial intelligence. Washington (DC): Science/AAAS; 2023.