Girish N. Nadkarni

46 papers B 1Misc 4Journal 39Unranked 2

Year	Rank	Type	Title / Venue / Authors
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`	Benchmarking proprietary and open-source language and vision-language models for gastroenterology clinical reasoning. npj Digit. Medicine Seyed Amir Ahmad Safavi-Naini, Shuhaib Ali, Omer Shahab, Zahra Shahhoseini, Thomas Savage, Sara Rafiee, Jamil S. Samaan, Reem Al Shabeeb, Farah Ladak, Jamie O. Yang, Juan Echavarria, Sumbal Babar, Aasma Shaukat, Samuel Margolis, Nicholas P. Tatonetti, Girish N. Nadkarni, Bara El Kurdi, Ali Soroush
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`	Generating credible referenced medical research: A comparative study of openAI's GPT-4 and Google's gemini. Comput. Biol. Medicine Mahmud Omar, Saleh Nassar, Kareem Hijazi, Benjamin S. Glicksberg, Girish N. Nadkarni, Eyal Klang
2025	J	`jnl`	Large language models in real-world clinical workflows: a systematic review of applications and implementation. Frontiers Digit. Health Yaara Artsi, Vera Sorin, Benjamin S. Glicksberg, Panagiotis Korfiatis, Girish N. Nadkarni, Eyal Klang
2025	J	`jnl`	Less Context, Same Performance: A RAG Framework for Resource-Efficient LLM-Based Clinical NLP. CoRR Satya Narayan Cheetirala, Ganesh Raut, Dhavalkumar Patel, Fabio Sanatana, Robert Freeman, Matthew A. Levin, Girish N. Nadkarni, Omar Dawkins, Reba Miller, Randolph M. Steinhagen, Eyal Klang, Prem Timsina
2025	J	`jnl`	Pitfalls of large language models in medical ethics reasoning. npj Digit. Medicine Shelly Soffer, Vera Sorin, Girish N. Nadkarni, Eyal Klang
2025	J	`jnl`	Reasoning red teaming in healthcare not all paths to a desired outcome are desirable. npj Digit. Medicine Vera Sorin, Panagiotis Korfiatis, Girish N. Nadkarni, Eyal Klang
2025	J	`jnl`	Refining LLMs outputs with iterative consensus ensemble (ICE). Comput. Biol. Medicine Mahmud Omar, Benjamin S. Glicksberg, Girish N. Nadkarni, Eyal Klang
2025	J	`jnl`	Self-Reported Confidence of Large Language Models in Gastroenterology: Analysis of Commercial, Open-Source, and Quantized Models. CoRR Nariman Naderi, Seyed Amir Ahmad Safavi-Naini, Thomas Savage, Zahra Atf, Peter Lewis, Girish N. Nadkarni, Ali Soroush
2025	J	`jnl`	Socio-Demographic Modifiers Shape Large Language Models' Ethical Decisions. J. Heal. Informatics Res. Vera Sorin, Panagiotis Korfiatis, Jeremy D. Collins, Donald Apakama, Mahmud Omar, Benjamin S. Glicksberg, Mei-Ean Yeow, Megan Brandeland, Girish N. Nadkarni, Eyal Klang
2025	J	`jnl`	Vision Language Models versus Machine Learning Models Performance on Polyp Detection and Classification in Colonoscopy Images. CoRR Mohammad Amin Khalafi, Seyed Amir Ahmad Safavi-Naini, Ameneh Salehi, Nariman Naderi, Dorsa Alijanzadeh, Pardis Ketabi Moghadam, Kaveh Kavosi, Negar Golestani, Shabnam Shahrokh, Soltanali Fallah, Jamil S. Samaan, Nicholas P. Tatonetti, Nicholas Hoerter, Girish N. Nadkarni, Hamid Asadzadeh Aghdaei, Ali Soroush
2024	J	`jnl`	A Primer on Reinforcement Learning in Medicine for Clinicians. npj Digit. Medicine Pushkala Jayaraman, Jacob Desman, Moein Sabounchi, Girish N. Nadkarni, Ankit Sakhuja
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`	Assessing calibration and bias of a deployed machine learning malnutrition prediction model within a large healthcare system. npj Digit. Medicine Lathan Liou, Erick Scott, Prathamesh Parchure, Yuxia Ouyang, Natalia Egorova, Robert Freeman, Ira S. Hofer, Girish N. Nadkarni, Prem Timsina, Arash Kia, Matthew A. Levin
2024	J	`jnl`	Cloud Platforms for Developing Generative AI Solutions: A Scoping Review of Tools and Services. CoRR Dhavalkumar Patel, Ganesh Raut, Satya Narayan Cheetirala, Girish N. Nadkarni, Robert Freeman, Benjamin S. Glicksberg, Eyal Klang, Prem Timsina
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`	Generative Large Language Models are autonomous practitioners of evidence-based medicine. CoRR Akhil Vaid, Joshua Lampert, Juhee Lee, Ashwin Sawant, Donald Apakama, Ankit Sakhuja, Ali Soroush, Denise Lee, Isotta Landi, Nicole Bussola, Ismail Nabeel, Robbie Freeman, Patricia H. Kovatch, Brendan G. Carr, Benjamin S. Glicksberg, Edgar Argulian, Stamatios Lerakis, Monica Kraft, Alexander Charney, Girish N. Nadkarni
2024	J	`jnl`	Large Language Models versus Classical Machine Learning: Performance in COVID-19 Mortality Prediction Using High-Dimensional Tabular Data. CoRR Mohammadreza Ghaffarzadeh-Esfahani, Mahdi Ghaffarzadeh-Esfahani, Arian Salahi-Niri, Hossein Toreyhi, Zahra Atf, Amirali Mohsenzadeh-Kermani, Mahshad Sarikhani, Zohreh Tajabadi, Fatemeh Shojaeian, Mohammad Hassan Bagheri, Aydin Feyzi, Mohammadamin Tarighatpayma, Narges Gazmeh, Fateme Heydari, Hossein Afshar, Amirreza Allahgholipour, Farid Alimardani, Ameneh Salehi, Naghmeh Asadimanesh, Mohammad Amin Khalafi, Hadis Shabanipour, Ali Moradi, Sajjad Hossein Zadeh, Omid Yazdani, Romina Esbati, Moozhan Maleki, Danial Samiei Nasr, Amirali Soheili, Hossein Majlesi, Saba Shahsavan, Alireza Soheilipour, Nooshin Goudarzi, Erfan Taherifard, Hamidreza Hatamabadi, Jamil S. Samaan, Thomas Savage, Ankit Sakhuja, Ali Soroush, Girish N. Nadkarni, Ilad Alavi Darazam, Mohamad Amin Pourhoseingholi, Seyed Amir Ahmad Safavi-Naini
2024	J	`jnl`	Local large language models for privacy-preserving accelerated review of historic echocardiogram reports. J. Am. Medical Informatics Assoc. Akhil Vaid, Son Q. Duong, Joshua Lampert, Patricia H. Kovatch, Robert Freeman, Edgar Argulian, Lori Croft, Stamatios Lerakis, Martin Goldman, Rohan Khera, Girish N. Nadkarni
2024	J	`jnl`	Multimodal fusion learning for long QT syndrome pathogenic genotypes in a racially diverse population. npj Digit. Medicine Joy Jiang, Ha My Thi Vy, Alexander Charney, Patricia H. Kovatch, Vivek Reddy, Pushkala Jayaraman, Ron Do, Rohan Khera, Sumeet Chugh, Deepak L. Bhatt, Akhil Vaid, Joshua Lampert, Girish N. Nadkarni
2024	J	`jnl`	Vision-Language and Large Language Model Performance in Gastroenterology: GPT, Claude, Llama, Phi, Mistral, Gemma, and Quantized Models. CoRR Seyed Amir Ahmad Safavi-Naini, Shuhaib Ali, Omer Shahab, Zahra Shahhoseini, Thomas Savage, Sara Rafiee, Jamil S. Samaan, Reem Al Shabeeb, Farah Ladak, Jamie O. Yang, Juan Echavarria, Sumbal Babar, Aasma Shaukat, Samuel Margolis, Nicholas P. Tatonetti, Girish N. Nadkarni, Bara El Kurdi, Ali Soroush
2023	J	`jnl`	A foundational vision transformer improves diagnostic performance for electrocardiograms. npj Digit. Medicine Akhil Vaid, Joy Jiang, Ashwin Sawant, Stamatios Lerakis, Edgar Argulian, Yuri Ahuja, Joshua Lampert, Alexander Charney, Hayit Greenspan, Jagat Narula, Benjamin S. Glicksberg, Girish N. Nadkarni
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	—	`conf`	Online Unsupervised Representation Learning of Waveforms in the Intensive Care Unit via a novel cooperative framework: Spatially Resolved Temporal Networks (SpaRTEn). MLHC Faris F. Gulamali, Ashwin Sawant, Ira S. Hofer, Matthew A. Levin, Alexander Charney, Karandeep Singh, Benjamin S. Glicksberg, Girish N. Nadkarni
2022	J	`jnl`	Autoencoders for sample size estimation for fully connected neural network classifiers. npj Digit. Medicine Faris F. Gulamali, Ashwin Sawant, Patricia H. Kovatch, Benjamin S. Glicksberg, Alexander Charney, Girish N. Nadkarni, Eric K. Oermann
2022	J	`jnl`	Generalizability of an acute kidney injury prediction model across health systems. Nat. Mac. Intell. Jie Cao, Xiaosong Zhang, Vahakn Shahinian, Huiying Yin, Diane Steffick, Rajiv Saran, Susan Crowley, Michael Mathis, Girish N. Nadkarni, Michael Heung, Karandeep Singh
2022	J	`jnl`	HeartBEiT: Vision Transformer for Electrocardiogram Data Improves Diagnostic Performance at Low Sample Sizes. CoRR Akhil Vaid, Joy Jiang, Ashwin Sawant, Stamatios Lerakis, Edgar Argulian, Yuri Ahuja, Joshua Lampert, Alexander Charney, Hayit Greenspan, Benjamin S. Glicksberg, Jagat Narula, Girish N. Nadkarni
2021	J	`jnl`	Contrastive Learning Improves Critical Event Prediction in COVID-19 Patients. CoRR Tingyi Wanyan, Hossein Honarvar, Suraj K. Jaladanki, Chengxi Zang, Nidhi Naik, Sulaiman Somani, Jessica K. De Freitas, Ishan Paranjpe, Akhil Vaid, Riccardo Miotto, Girish N. Nadkarni, Marinka Zitnik, Ariful Azad, Fei Wang, Ying Ding, Benjamin S. Glicksberg
2021	J	`jnl`	Contrastive learning improves critical event prediction in COVID-19 patients. Patterns Tingyi Wanyan, Hossein Honarvar, Suraj K. Jaladanki, Chengxi Zang, Nidhi Naik, Sulaiman Somani, Jessica K. De Freitas, Ishan Paranjpe, Akhil Vaid, Jing Zhang, Riccardo Miotto, Zhangyang Wang, Girish N. Nadkarni, Marinka Zitnik, Ariful Azad, Fei Wang, Ying Ding, Benjamin S. Glicksberg
2021	Misc	`conf`	Extracting Social Isolation Information From Psychiatric Notes in the Electronic Health Records. AMIA Lauren A. Lepow, Braja Gopal Patra, Isotta Landi, Prakash Adekkanattu, Jyotishman Pathak, Mark Olfson, J. John Mann, Euijung Ryu, Joanna M. Biernacka, Girish N. Nadkarni, Priya Wickramaratne, Myrna Weissman, Benjamin S. Glicksberg, Alexander Charney
2021	J	`jnl`	Phe2vec: Automated disease phenotyping based on unsupervised embeddings from electronic health records. Patterns Jessica K. De Freitas, Kipp W. Johnson, Eddye Golden, Girish N. Nadkarni, Joel T. Dudley, Erwin P. Bottinger, Benjamin S. Glicksberg, Riccardo Miotto
2021	J	`jnl`	Relational Learning Improves Prediction of Mortality in COVID-19 in the Intensive Care Unit. IEEE Trans. Big Data Tingyi Wanyan, Akhil Vaid, Jessica K. De Freitas, Sulaiman Somani, Riccardo Miotto, Girish N. Nadkarni, Ariful Azad, Ying Ding, Benjamin S. Glicksberg
2020	B	`conf`	Heterogeneous Graph Embeddings of Electronic Health Records Improve Critical Care Disease Predictions. AIME Tingyi Wanyan, Martin Kang, Marcus A. Badgeley, Kipp W. Johnson, Jessica K. De Freitas, Fayzan F. Chaudhry, Akhil Vaid, Shan Zhao, Riccardo Miotto, Girish N. Nadkarni, Fei Wang, Justin F. Rousseau, Ariful Azad, Ying Ding, Benjamin S. Glicksberg
2020	J	`jnl`	Sleep in the Natural Environment: A Pilot Study. Sensors Fayzan F. Chaudhry, Matteo Danieletto, Eddye Golden, Jerome R. Scelza, Greg Botwin, Mark M. Shervey, Jessica K. De Freitas, Ishan Paranjpe, Girish N. Nadkarni, Riccardo Miotto, Patricia Glowe, Greg Stock, Bethany Percha, Noah Zimmerman, Joel T. Dudley, Benjamin S. Glicksberg
2020	J	`jnl`	StudyU: a platform for designing and conducting innovative digital N-of-1 trials. CoRR Stefan Konigorski, Sarah Wernicke, Tamara Slosarek, Alexander M. Zenner, Nils Strelow, Ferenc D. Ruether, Florian Henschel, Manisha Manaswini, Fabian Pottbäcker, Jonathan A. Edelman, Babajide Alamu Owoyele, Matteo Danieletto, Eddye Golden, Micol Zweig, Girish N. Nadkarni, Erwin P. Böttinger
2019	J	`jnl`	Augmented intelligence with natural language processing applied to electronic health records for identifying patients with non-alcoholic fatty liver disease at risk for disease progression. Int. J. Medical Informatics Tielman T. Van Vleck, Lili Chan, Steven G. Coca, Catherine K. Craven, Ron Do, Stephen B. Ellis, Joseph L. Kannry, Ruth J. F. Loos, Peter A. Bonis, Judy Cho, Girish N. Nadkarni
2015	Misc	`conf`	A Genome- and Phenome- Wide Study of Diverticulosis. AMIA Yoonjung Y. Joo, Jennifer A. Pacheco, Loren L. Armstrong, William K. Thompson, Robert J. Carroll, Joshua C. Denny, Peggy L. Peissig, James G. Linneman, Jyotishman Pathak, Girish N. Nadkarni, Laura Rasmussen-Torvik, M. Geoffrey Hayes, Abel N. Kho
2015	J	`jnl`	Incorporating temporal EHR data in predictive models for risk stratification of renal function deterioration. J. Biomed. Informatics Anima Singh, Girish N. Nadkarni, Omri Gottesman, Stephen B. Ellis, Erwin P. Bottinger, John V. Guttag
2014	Misc	`conf`	Development and validation of an electronic phenotyping algorithm for chronic kidney disease. AMIA Girish N. Nadkarni, Omri Gottesman, James G. Linneman, Herbert S. Chase, Richard L. Berg, Samira Farouk, Vaneet Lotay, Stephen B. Ellis, George Hripcsak, Peggy L. Peissig, Chunhua Weng, Rajiv Nadukuru, Erwin P. Bottinger
2014	Misc	`conf`	Disease progression subtype discovery from longitudinal EMR data with a majority of missing values and unknown initial time points. AMIA Ilkka Huopaniemi, Girish N. Nadkarni, Rajiv Nadukuru, Vaneet Lotay, Stephen B. Ellis, Omri Gottesman, Erwin P. Bottinger
2014	—	`conf`	Leveraging hierarchy in medical codes for predictive modeling. BCB Anima Singh, Girish N. Nadkarni, John V. Guttag, Erwin P. Bottinger