Aydin Zahedivash

According to our database, Aydin Zahedivash authored at least 6 papers between 2024 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

OpenTSLM: Time-Series Language Models for Reasoning over Multivariate Medical Text- and Time-Series Data.

Patrick Langer, Thomas Kaar, Max Rosenblattl, Maxwell A. Xu, Winnie Chow, Martin Maritsch, Aradhana Verma, Brian Han, Daniel Seung Kim, Henry Chubb, Scott R. Ceresnak, Aydin Zahedivash, Alexander T. Sandhu, Fátima Rodriguez, Daniel McDuff, Elgar Fleisch, Oliver O. Aalami, Filipe Barata, Paul Schmiedmayer

CoRR, October, 2025

Spezi Data Pipeline: Streamlining FHIR-based Interoperable Digital Health Data Workflows.

Vasiliki Bikia, Paul Schmiedmayer, Aydin Zahedivash, Lauren Aalami, Adrit Rao, Vishnu Ravi, Matthew Turk, Scott R. Ceresnak, Oliver O. Aalami

CoRR, September, 2025

MedHELM: Holistic Evaluation of Large Language Models for Medical Tasks.

Suhana Bedi, Hejie Cui, Miguel Fuentes, Alyssa Unell, Michael Wornow, Juan M. Banda, Nikesh Kotecha, Timothy Keyes, Yifan Mai, Mert Oez, Hao Qiu, Shrey Jain, Leonardo Schettini, Mehr Kashyap, Jason Alan Fries, Akshay Swaminathan, Philip Chung, Fateme Nateghi, Asad Aali, Ashwin Nayak, Shivam Vedak, Sneha S. Jain, Birju S. Patel, Oluseyi Fayanju, Shreya J. Shah, Ethan Goh, Dong-han Yao, Brian Soetikno, Eduardo Pontes Reis, Sergios Gatidis, Vasu Divi, Robson Capasso, Rachna Saralkar, Chia-Chun Chiang, Jenelle A. Jindal, Tho Pham, Faraz Ghoddusi, Steven Lin, Albert S. Chiou, Christy Hong, Mohana Roy, Michael F. Gensheimer, Hinesh Patel, Kevin Schulman, Dev Dash, Danton Char, Lance Downing, François Grolleau, Kameron C. Black, Bethel Mieso, Aydin Zahedivash, Wen-wai Yim, Harshita Sharma, Tony Lee, Hannah Kirsch, Jennifer Lee, Nerissa Ambers, Carlene Lugtu, Aditya Sharma, Bilal Mawji, Alex Alekseyev, Vicky Zhou, Vikas Kakkar, Jarrod Helzer, Anurang Revri, Yair Bannett, Roxana Daneshjou, Jonathan H. Chen, Emily Alsentzer, Keith E. Morse, Nirmal Ravi, Nima Aghaeepour, Vanessa Kennedy, Akshay Chaudhari, Thomas Wang, Sanmi Koyejo, Matthew P. Lungren, Eric Horvitz, Percy Liang, Mike Pfeffer, Nigam H. Shah

CoRR, May, 2025

A Multi-Phase Analysis of Blood Culture Stewardship: Machine Learning Prediction, Expert Recommendation Assessment, and LLM Automation.

Fatemeh Amrollahi, Nicholas Marshall, Fateme Nateghi Haredasht, Kameron C. Black, Aydin Zahedivash, Manoj Maddali, Stephen P. Ma, Amy Chang, Stanley Deresinski, Mary K. Goldstein, Steven M. Asch, Niaz Banaei, Jonathan H. Chen

CoRR, April, 2025

Medicine on the Edge: Comparative Performance Analysis of On-Device LLMs for Clinical Reasoning.

Leon Nissen, Philipp Zagar, Vishnu Ravi, Aydin Zahedivash, Lara Marie Reimer, Stephan M. Jonas, Oliver O. Aalami, Paul Schmiedmayer

CoRR, February, 2025

2024

LLM on FHIR - Demystifying Health Records.

Paul Schmiedmayer, Adrit Rao, Philipp Zagar, Vishnu Ravi, Aydin Zahedivash, Arash Fereydooni, Oliver O. Aalami

CoRR, 2024