Explaining Chest X-ray Pathology Models using Textual Concepts

Autor: Sadashivaiah, Vijay, Yan, Pingkun, Hendler, James A.

Deep learning models have revolutionized medical imaging and diagnostics, yet their opaque nature poses challenges for clinical adoption and trust. Amongst approaches to improve model interpretability, concept-based explanations aim to provide concis

Externí odkaz: http://arxiv.org/abs/2407.00557

More Samples or More Prompts? Exploring Effective In-Context Sampling for LLM Few-Shot Prompt Engineering

Autor: Yao, Bingsheng, Chen, Guiming, Zou, Ruishi, Lu, Yuxuan, Li, Jiachen, Zhang, Shao, Sang, Yisi, Liu, Sijia, Hendler, James, Wang, Dakuo

While most existing works on LLM prompting techniques focus only on how to select a better set of data samples inside one single prompt input (In-Context Learning or ICL), why can not we design and leverage multiple prompts together to further improv

Externí odkaz: http://arxiv.org/abs/2311.09782

Mental-LLM: Leveraging Large Language Models for Mental Health Prediction via Online Text Data

Autor: Xu, Xuhai, Yao, Bingsheng, Dong, Yuanzhe, Gabriel, Saadia, Yu, Hong, Hendler, James, Ghassemi, Marzyeh, Dey, Anind K., Wang, Dakuo

Advances in large language models (LLMs) have empowered a variety of applications. However, there is still a significant gap in research when it comes to understanding and enhancing the capabilities of LLMs in the field of mental health. In this work

Externí odkaz: http://arxiv.org/abs/2307.14385

Are Human Explanations Always Helpful? Towards Objective Evaluation of Human Natural Language Explanations

Autor: Yao, Bingsheng, Sen, Prithviraj, Popa, Lucian, Hendler, James, Wang, Dakuo

Human-annotated labels and explanations are critical for training explainable NLP models. However, unlike human-annotated labels whose quality is easier to calibrate (e.g., with a majority vote), human-crafted free-form explanations can be quite subj

Externí odkaz: http://arxiv.org/abs/2305.03117

Post-acute COVID-19 outcomes including participant-reported long COVID: amubarvimab/romlusevimab versus placebo in the ACTIV-2 trialResearch in context

Autor: Teresa H. Evering, Carlee Moser, Nikolaus Jilg, Justin Ritz, David A. Wohl, Jonathan Z. Li, David Margolis, Arzhang Cyrus Javan, Joseph J. Eron, Judith S. Currier, Eric S. Daar, Davey M. Smith, Michael D. Hughes, Kara W. Chew, Kara Chew, David (Davey) Smith, Eric Daar, David Wohl, Judith Currier, Joseph Eron, Michael Hughes, Mark Giganti, Lara Hosey, Jhoanna Roa, Nilam Patel, Kelly Colsh, Irene Rwakazina, Justine Beck, Scott Sieg, Jonathan Li, Courtney Fletcher, William Fischer, Rachel Bender Ignacio, Sandra Cardoso, Katya Corado, Prasanna Jagannathan, Alan Perelson, Sandy Pillay, Cynthia Riviere, Upinder Singh, Babafemi Taiwo, Joan Gottesman, Matthew Newell, Susan Pedersen, Joan Dragavon, Cheryl Jennings, Brian Greenfelder, William Murtaugh, Jan Kosmyna, Morgan Gapara, Akbar Shahkolahi, Verónica Lacal, Diego Salusso, Sebastian Nuñez, Marcelo Rodrigo Rodriguez, Luciana Laborde, Marcelo Papasidero, Luis Wehbe, Mariana Gonzalez, Felicitas Fernandez Voena, Tomas Alvarez, Amaru Lopez, Virginia Huhn, Ulises D'Andrea Nores, Pablo Dieser, Fernando Bordese, Marisa Mussi, Rodrigo de Carvalho Santana, Adriana Aparecida Tiraboschi Bárbaro, Breno Santos, Rita de Cássia Alves Lira, Andre Luiz Machado da Silva, Sandra Wagner Cardoso, Maria Pia Diniz Ribeiro, Nathália Soliva, Eduardo Vasconcellos, Jorge Eurico Ribeiro, Miriam Amaral Enéas, Jorge Pinto, Julia Fonseca de Morais Caporali, Flávia Gomes Faleiro Ferreira, Norma Erendira Rivera Martinez, Victor Casildo Bohorquez Lopez, Melchor Victor Frias, Krystle Fetalvero, Alyxzza Maranan, Jennifer Rosa, Thomas Coetzer, Maureen Mohata, Sr., Umesh Lalloo, Penelope Madlala, Larisha Pillay-Ramaya, Jaclyn Ann Bennet, Noluthando Mwelase, Nokuphiwa Mbhele, Frederick Petrick, Leonard Joubert, Rose Mbali, Sr., Natasha Joseph, Mmatsie Manentsa, Eugene van der Walt, Mduduzi Sandile Lawrance Masilela, Zinhle Zwane, Tendai Chiperera, Lerato Mohapi, Suri Moonsamy, Usha Singh, Kirsten McHarry, Elizma Snyman, Pieter Lennox, James Craig Innes, Oteng Letlape, Olebogeng Jonkane, William Brumskine, Tania Adonis, Ni Ni Sein, Modulakgotla Sebe, Yacoob Vahed, Nazreen Jeewa Hussen, Ismail Mitha, Vasundhara Cheekati, Purna Cheekati, Christie Lummus, Samuel Idarraga, Andrew Kim, David N. Pham, Wei-Hsin Kao, Michael M. Pfeffer, Miriam Batule Dominguez, Anju Malik, Anna Bryan, Melanie Arnold, Idania Fernandez, Cinzia Karpf, Aniuska Ruiz, David Taylor, Eric Folkens, Jennifer Manne, Sigal Yawetz, Cheryl Keenan, Emeka Eziri, Carl Fichtenbaum, Jenifer Baer, Sarah Trentman, Robert Call, Leroy Vaughan, Aaron Milstone, Jamie Alex Slandzicki, Jessica Wallan, Clinton Guillory, Nancy Andrews, Leslie Hughes, Jonathan Berardi, Celine Arar, Randall Quinn, Jorge P. Amaya, Marissa Gomez-Martinez, Luis Cantu, Monica Betancourt-Garcia, Nwora Lance Okeke, Charles M. Burns, Fadi Haddad, Victoria Haddad, Augusto Focil, Griselda Rosas, Susana Moyano, Yaneicy Gonzalez Rojas, Ahmad Aswad, Yevgeniy Bukhman, Manish Jain, Eugene Bukhman, Humam Farah, Rebekah McClain, Sadia Shaik, Timothy Hatlen, Deepa Gotur, Joseph Surber, Jeffrey Kingsley, April Pixler, Alex Zopo, Jack Herman, Craig Herman, Ramon Leon, Boris Nikolov, Fernando Gonzalez Vergara, Ana I. Gonzalez, Noemi Gonzalez, Michael Gelman, Olga Andriunas, Zarema Jagizarov, Jan Westerman, David Davis, Donna Sherer, Kelly Dooley, Becky Becker, Adaliah Wilkins, Jose Pérez, Eloy Roman, Heriberto Fernández, Bharat Mocherla, Kelly Beck, Valarie Maldonado, Jennifer Veltman, Rajesh Gandhi, Katrina Shea, Matthew Planchon, Laura Bogan Herpel, Kaushlendra K. Tripathi, Donald C. Day, John Pullman, Sr., Erin Williams-Leber, Misty Johnson, Michelle Hecker, Ann Avery, Keila Hoover, George W. Monlux, Elizabeth Juneja, Jr., Arthur Wernick, Karelia Ruiz, Maureen Hernández, Yadilys Pérez, Babafemi O. Taiwo, Claudia Hawkins, Baiba Berzins, Carlos Malvestutto, Heather Harber, Robyn Cicarella, Edwin DeJesus, Charlotte-Paige Rolle, Almena L. Free, Sallie D. Pulliam, Debra Weinstein, Rosa M. Suarez, Ezequiel Socorro, Estefania Socorro, Gene Neytman, Raymond Easley, Mariam Aziz, Joan Swiatek, Avish Nagpal, Breanna Kompelien, Kathryn McEvoy, Susan E. Hoover, Allison Lutz, Jessica Just, Manuel Hernandez, Yanly B. Victoria, Gabriel Rodriguez, Divya Pathak, Joshua J. Ordway, Megan Heffner, Patrick Weston, Khalilah Weston, Madhu Choudhary, Jennifer Sullivano, Olayemi Osiyemi, Myriam Izquierdo, Odelsey Torna, Brian Clemency, Renoj Varughese, Joshua Lynch, Aleen Khodabakhshian, Samantha Fortier, Christopher Coyne, Alexandrea Cronin, Constance Benson, Steven Hendrickx, Rosemarie Ramirez, Anne Luetkemeyer, Suzanne Hendler, Dennis Dentoni-Lasofsky, Mobeen Rathore, Saniyyah Mahmoudi, Amna Riaz, Mario Castro, Leslie Spikes, Chase Hall, Jonathan Oakes, Amy James Loftis, Pablo Tebas, William Short, Michael P. Dube, Saahir Khan, Luis M. Mendez, Sarah McGuffin, Chris Jonsson, Mamta K. Jain, Smruthi Senthil, Kimberly Turner-Gray, Sanjay Mehta, Mary Lewinski, Masoud Azizad, Christopher Chow, Lisa Nakatani, Derrick Williamson, Hisham Atriss, Matthew Caloura, Midhun Malla, Hannah Hazard-Jenkins, Aimee Wilkin, Jamraus Fayssoux, Hannah Seagle, Rachel Presti, Alem Haile

Publikováno v: EClinicalMedicine, Vol 75, Iss , Pp 102787- (2024)

Summary: Background: It is unknown if early COVID-19 monoclonal antibody (mAb) therapy can reduce risk of Long COVID. The mAbs amubarvimab/romlusevimab were previously demonstrated to reduce risk of hospitalization/death by 79%. This study assessed t

Externí odkaz: https://doaj.org/article/0f03400b045f4689a3d0d1e79eae5426