Donald Apakama

According to our database, Donald Apakama authored at least 5 papers between 2024 and 2026.

Collaborative distances:

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

2026

New model, old risks: sociodemographic bias and adversarial hallucinations vulnerability in GPT-5.

Mahmud Omar, Reem Agbareia, Donald Apakama, Carol R. Horowitz, Robert Freeman, Alexander W. Charney, Girish N. Nadkarni, Eyal Klang

npj Digit. Medicine, 2026

2025

Socio-Demographic Modifiers Shape Large Language Models' Ethical Decisions.

Vera Sorin, Panagiotis Korfiatis, Jeremy D. Collins, Donald Apakama, Mahmud Omar, Benjamin S. Glicksberg, Mei-Ean Yeow, Megan Brandeland, Girish N. Nadkarni, Eyal Klang

J. Heal. Informatics Res., December, 2025

2024

A strategy for cost-effective large language model use at health system-scale.

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

npj Digit. Medicine, 2024

Evaluating the accuracy of a state-of-the-art large language model for prediction of admissions from the emergency room.

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

J. Am. Medical Informatics Assoc., 2024

Generative Large Language Models are autonomous practitioners of evidence-based medicine.

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

CoRR, 2024