Daniel Alexander Alber

According to our database, Daniel Alexander Alber authored at least 11 papers between 2021 and 2025.

Collaborative distances:

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

2025

Generalist Large Language Models Outperform Clinical Tools on Medical Benchmarks.

Krithik Vishwanath, Mrigayu Ghosh, Anton Alyakin, Daniel Alexander Alber, Yindalon Aphinyanaphongs, Eric Karl Oermann

CoRR, December, 2025

Generalist Foundation Models Are Not Clinical Enough for Hospital Operations.

Lavender Y. Jiang, Angelica Chen, Xu Han, Xujin Chris Liu, Radhika Dua, Kevin Eaton, Frederick Wolff, Robert Steele, Jeff Zhang, Anton Alyakin, Qingkai Pan, Yanbing Chen, Karl L. Sangwon, Daniel Alexander Alber, Jaden Stryker, Jin Vivian Lee, Yindalon Aphinyanaphongs, Kyunghyun Cho, Eric Karl Oermann

CoRR, November, 2025

Clinically Grounded Agent-based Report Evaluation: An Interpretable Metric for Radiology Report Generation.

Radhika Dua, Young Joon Fred Kwon, Siddhant Dogra, Daniel Freedman, Diana Ruan, Motaz Nashawaty, Danielle Rigau, Daniel Alexander Alber, Kang Zhang, Kyunghyun Cho, Eric Karl Oermann

CoRR, August, 2025

Evaluating the performance and fragility of large language models on the self-assessment for neurological surgeons.

Krithik Vishwanath, Anton Alyakin, Mrigayu Ghosh, Jin Vivian Lee, Daniel Alexander Alber, Karl L. Sangwon, Douglas Kondziolka, Eric Karl Oermann

CoRR, May, 2025

Medical large language models are easily distracted.

Krithik Vishwanath, Anton Alyakin, Daniel Alexander Alber, Jin Vivian Lee, Douglas Kondziolka, Eric Karl Oermann

CoRR, April, 2025

It is Too Many Options: Pitfalls of Multiple-Choice Questions in Generative AI and Medical Education.

Shrutika Singh, Anton Alyakin, Daniel Alexander Alber, Jaden Stryker, Ai Phuong S. Tong, Karl L. Sangwon, Nicolas K. Goff, Mathew de la Paz, Miguel Hernandez-Rovira, Ki Yun Park, Eric Claude Leuthardt, Eric Karl Oermann

CoRR, March, 2025

BPQA Dataset: Evaluating How Well Language Models Leverage Blood Pressures to Answer Biomedical Questions.

Chi Hang, Ruiqi Deng, Lavender Yao Jiang, Zihao Yang, Anton Alyakin, Daniel Alexander Alber, Eric Karl Oermann

CoRR, March, 2025

Repurposing the scientific literature with vision-language models.

Anton Alyakin, Jaden Stryker, Daniel Alexander Alber, Karl L. Sangwon, Brandon Duderstadt, Akshay Save, David Kurland, Spencer Frome, Shrutika Singh, Jeff Zhang, Eunice Yang, Ki Yun Park, Cordelia Orillac, Aly A. Valliani, Sean Neifert, Albert Liu, Aneek Patel, Christopher Livia, Darryl Lau, Ilya Laufer, Peter A. Rozman, Eveline Teresa Hidalgo, Howard Riina, Rui Feng, Todd C. Hollon, Yindalon Aphinyanaphongs, John G. Golfinos, Laura Snyder, Eric Leuthardt, Douglas Kondziolka, Eric Karl Oermann

CoRR, February, 2025

2024

MedG-KRP: Medical Graph Knowledge Representation Probing.

Gabriel R. Rosenbaum, Lavender Yao Jiang, Ivaxi Sheth, Jaden Stryker, Anton Alyakin, Daniel Alexander Alber, Nicolas K. Goff, Young Joon Fred Kwon, John Markert, Mustafa Nasir-Moin, Jan Moritz Niehues, Karl L. Sangwon, Eunice Yang, Eric Karl Oermann

CoRR, 2024

MedMobile: A mobile-sized language model with expert-level clinical capabilities.

Krithik Vishwanath, Jaden Stryker, Anton Alyakin, Daniel Alexander Alber, Eric Karl Oermann

CoRR, 2024

2021

Contrastive Representation Learning for Rapid Intraoperative Diagnosis of Skull Base Tumors Imaged Using Stimulated Raman Histology.

Cheng Jiang, Abhishek Bhattacharya, Joseph Linzey, Rushikesh S. Joshi, Sung Jik Cha, Sudharsan Srinivasan, Daniel Alexander Alber, Akhil Kondepudi, Esteban Urias, Balaji Pandian, Wajd N. Al-Holou, Steve Sullivan, B. Gregory Thompson, Jason Heth, Chris Freudiger, Siri S. Khalsa, Donato Pacione, John G. Golfinos, Sandra Camelo-Piragua, Daniel A. Orringer, Honglak Lee, Todd C. Hollon

CoRR, 2021