Alexander W. Charney

15 papers Journal 15

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Fine-Tune, Don't Prompt, Your Language Model to Identify Biased Language in Clinical Notes. CoRR Isotta Landi, Eugenia Alleva, Nicole Bussola, Rebecca M. Cohen, Sarah Nowlin, Leslee J. Shaw, Alexander W. Charney, Kimberly B. Glazer
2026	J	`jnl`	JEPA-DNA: Grounding Genomic Foundation Models through Joint-Embedding Predictive Architectures. CoRR Ariel Larey, Elay Dahan, Amit Bleiweiss, Raizy Kellerman, Guy Leib, Omri Nayshool, Dan Ofer, Tal Zinger, Dan Dominissini, Gideon Rechavi, Nicole Bussola, Simon Lee, Shane O'Connell, Dung Hoang, Marissa Wirth, Alexander W. Charney, Nati Daniel, Yoli Shavit
2025	J	`jnl`	A distributional reinforcement learning model for optimal glucose control after cardiac surgery. npj Digit. Medicine Jacob Desman, Zhang-Wei Hong, Moein Sabounchi, Ashwin S. Sawant, Jaskirat Gill, Ana C. Costa, Gagan Kumar, Rajeev Sharma, Arpeta Gupta, Paul McCarthy, Veena Nandwani, Doug Powell, Alexandra Carideo, Donnie Goodwin, Sanam Ahmed, Umesh Gidwani, Matthew A. Levin, Robin Varghese, Farzan Filsoufi, Robert Freeman, Avniel Shetreat-Klein, Alexander W. Charney, Ira S. Hofer, Lili Chan, David Reich, Patricia H. Kovatch, Roopa Kohli-Seth, Monica Kraft, Pulkit Agrawal, John A. Kellum, Girish N. Nadkarni, Ankit Sakhuja
2025	J	`jnl`	A scalable framework for benchmark embedding models in semantic health-care tasks. J. Am. Medical Informatics Assoc. Shelly Soffer, Mahmud Omar, Moran Gendler, Benjamin S. Glicksberg, Patricia H. Kovatch, Orly Efros, Robert Freeman, Alexander W. Charney, Girish N. Nadkarni, Eyal Klang
2025	J	`jnl`	Extracting social support and social isolation information from clinical psychiatry notes: comparing a rule-based natural language processing system and a large language model. J. Am. Medical Informatics Assoc. Braja Gopal Patra, Lauren A. Lepow, Praneet Kasi Reddy Jagadeesh Kumar, Veer Vekaria, Mohit Manoj Sharma, Prakash Adekkanattu, Brian Fennessy, Gavin Hynes, Isotta Landi, Jorge A. Sanchez-Ruiz, Euijung Ryu, Joanna M. Biernacka, Girish N. Nadkarni, Ardesheer Talati, Myrna Weissman, Mark Olfson, J. John Mann, Yiye Zhang, Alexander W. Charney, Jyotishman Pathak
2025	J	`jnl`	Quantifying Clinician Bias and its Effects on Schizophrenia Diagnosis in the Emergency Department of the Mount Sinai Health System. CoRR Alissa A. Valentine, Lauren A. Lepow, Lili Chan, Alexander W. Charney, Isotta Landi
2024	J	`jnl`	A novel method leveraging time series data to improve subphenotyping and application in critically ill patients with COVID-19. Artif. Intell. Medicine Wonsuk Oh, Pushkala Jayaraman, Pranai Tandon, Udit S. Chaddha, Patricia H. Kovatch, Alexander W. Charney, Benjamin S. Glicksberg, Girish N. Nadkarni
2024	J	`jnl`	A strategy for cost-effective large language model use at health system-scale. npj Digit. Medicine Eyal Klang, Donald Apakama, Ethan E. Abbott, Akhil Vaid, Joshua Lampert, Ankit Sakhuja, Robert Freeman, Alexander W. Charney, David Reich, Monica Kraft, Girish N. Nadkarni, Benjamin S. Glicksberg
2024	J	`jnl`	Derivation, external and clinical validation of a deep learning approach for detecting intracranial hypertension. npj Digit. Medicine Faris F. Gulamali, Pushkala Jayaraman, Ashwin S. Sawant, Jacob Desman, Benjamin Fox, Annette Chang, Brian Y. Soong, Naveen Arivazagan, Alexandra S. Reynolds, Son Q. Duong, Akhil Vaid, Patricia H. Kovatch, Robert Freeman, Ira S. Hofer, Ankit Sakhuja, Neha S. Dangayach, David S. Reich, Alexander W. Charney, Girish N. Nadkarni
2024	J	`jnl`	Evaluating the accuracy of a state-of-the-art large language model for prediction of admissions from the emergency room. J. Am. Medical Informatics Assoc. Benjamin S. Glicksberg, Prem Timsina, Dhaval Patel, Ashwin Sawant, Akhil Vaid, Ganesh Raut, Alexander W. Charney, Donald Apakama, Brendan G. Carr, Robert Freeman, Girish N. Nadkarni, Eyal Klang
2024	J	`jnl`	Extracting Social Support and Social Isolation Information from Clinical Psychiatry Notes: Comparing a Rule-based NLP System and a Large Language Model. CoRR Braja Gopal Patra, Lauren A. Lepow, Praneet Kasi Reddy Jagadeesh Kumar, Veer Vekaria, Mohit Manoj Sharma, Prakash Adekkanattu, Brian Fennessy, Gavin Hynes, Isotta Landi, Jorge A. Sanchez-Ruiz, Euijung Ryu, Joanna M. Biernacka, Girish N. Nadkarni, Ardesheer Talati, Myrna Weissman, Mark Olfson, J. John Mann, Alexander W. Charney, Jyotishman Pathak
2024	J	`jnl`	Fair Machine Learning for Healthcare Requires Recognizing the Intersectionality of Sociodemographic Factors, a Case Study. CoRR Alissa A. Valentine, Alexander W. Charney, Isotta Landi
2024	J	`jnl`	The Point of View of a Sentiment: Towards Clinician Bias Detection in Psychiatric Notes. CoRR Alissa A. Valentine, Lauren A. Lepow, Alexander W. Charney, Isotta Landi
2023	J	`jnl`	An AI-Guided Data Centric Strategy to Detect and Mitigate Biases in Healthcare Datasets. CoRR Faris F. Gulamali, Ashwin S. Sawant, Lora Liharska, Carol R. Horowitz, Lili Chan, Patricia H. Kovatch, Ira S. Hofer, Karandeep Singh, Lynne D. Richardson, Emmanuel Mensah, Alexander W. Charney, David L. Reich, Jianying Hu, Girish N. Nadkarni
2023	J	`jnl`	Clinical Text Deduplication Practices for Efficient Pretraining and Improved Clinical Tasks. CoRR Isotta Landi, Eugenia Alleva, Alissa A. Valentine, Lauren A. Lepow, Alexander W. Charney