Reflections from Research Roundtables at the Conference on Health, Inference, and Learning (CHIL) 2025
Alsentzer, Emily, Charpignon, Marie-Laure, Chen, Bill, D'Souza, Niharika, Fries, Jason, Jiang, Yixing, Kashyap, Aparajita, Kim, Chanwoo, Lee, Simon, Mandyam, Aishwarya, Mbilinyi, Ashery, Mehandru, Nikita, Nagesh, Nitish, Nuwagira, Brighton, Pierson, Emma, Pillai, Arvind, Sano, Akane, Syeda-Mahmood, Tanveer, Yadav, Shashank, Adhanom, Elias, Afza, Muhammad Umar, Archer, Amelia, Bedi, Suhana, Bikia, Vasiliki, Chang, Trenton, Chen, George H., Chen, Winston, Chiang, Erica, Choi, Edward, Ciora, Octavia, Dozie-Nnamah, Paz, Elsharief, Shaza, Engelhard, Matthew, Eshragh, Ali, Feng, Jean, Fessel, Josh, Fleming, Scott, Fong, Kei Sen, Frost, Thomas, Gadgil, Soham, Gichoya, Judy, Hershkovich, Leeor, Im, Sujeong, Jain, Bhavya, Jeanselme, Vincent, Jia, Furong, Jin, Qixuan, Jin, Yuxuan, Kapash, Daniel, Kapoor, Geetika, Kiafar, Behdokht, Kleiner, Matthias, Kraft, Stefan, Kumar, Annika, Kyung, Daeun, Liang, Zhongyuan, Lin, Joanna, Liu, Qianchu, Liu, Chang, Luan, Hongzhou, Lunt, Chris, López, Leopoldo Julían Lechuga, McDermott, Matthew B. A., Noroozizadeh, Shahriar, O'Brien, Connor, Oh, YongKyung, Ota, Mixail, Pfohl, Stephen, Pi, Meagan, Pias, Tanmoy Sarkar, Rocheteau, Emma, Sethi, Avishaan, Shirakawa, Toru, Silver, Anita, Simha, Neha, Stankeviciute, Kamile, Sunog, Max, Szolovits, Peter, Tang, Shengpu, Tang, Jialu, Tierney, Aaron, Valdovinos, John, Wallace, Byron, Wang, Will Ke, Washington, Peter, Weiss, Jeremy, Wolfe, Daniel, Wong, Emily, Yun, Hye Sun, Zhang, Xiaoman, Zhang, Xiao Yu Cindy, Jeong, Hayoung, Thakoor, Kaveri A.
–arXiv.org Artificial Intelligence
The 6th annual Conference on Health, Inference, and Learning (CHIL 2025), hosted by the Association for Health Learning and Inference (AHLI), was held in person on June 25-27, 2025, at the University of California, Berkeley, in Berkeley, California, USA. As part of this year's program, we hosted Research Roundtables to catalyze collaborative, small-group dialogue around critical, timely topics at the intersection of machine learning and healthcare. Each roundtable was moderated by a team of senior and junior chairs who fostered open exchange, intellectual curiosity, and inclusive engagement. The sessions emphasized rigorous discussion of key challenges, creative exploration of emerging opportunities, and collective ideation toward actionable directions in the field. Overall, the Research Roundtables brought together a diverse mix of participants, including academic researchers, clinicians, industry professionals, and policy experts. In total, eight roundtables were held across two 30-minute sessions, with a brief transition break to allow participants to join multiple discussions.
arXiv.org Artificial Intelligence
Nov-5-2025
- Country:
- North America > United States > California > Alameda County > Berkeley (0.54)
- Genre:
- Overview (0.92)
- Research Report
- Experimental Study (1.00)
- Strength High (0.93)
- Industry:
- Information Technology > Security & Privacy (1.00)
- Government (1.00)
- Health & Medicine
- Pharmaceuticals & Biotechnology (1.00)
- Health Care Providers & Services (1.00)
- Epidemiology (1.00)
- Diagnostic Medicine (1.00)
- Consumer Health (0.93)
- Health Care Technology > Medical Record (0.68)
- Therapeutic Area
- Technology:
- Information Technology
- Security & Privacy (1.00)
- Data Science > Data Mining (1.00)
- Communications (0.93)
- Artificial Intelligence
- Representation & Reasoning (1.00)
- Natural Language > Large Language Model (0.49)
- Machine Learning > Neural Networks (0.46)
- Information Technology