Does Biomedical Training Lead to Better Medical Performance?

Medical records, patient care, and medical education

Lawrence L. Weed. 1964 · 1964

Earlier work this paper cites.

The unified medical language system (umls): integrating biomedical terminology

Olivier Bodenreider. 2004 · 2004

Earlier work this paper cites.

ROUGE: A package for automatic evaluation of summaries

Chin-Yew Lin. 2004 · 2004

Earlier work this paper cites.

Icd-10 : international statistical classification of diseases and related health problems : tenth revision

World Health Organization. 2004 · 2004

Earlier work this paper cites.

Mimic-iii, a freely accessible critical care database

Alistair EW Johnson, Tom J Pollard, Lu Shen, Li-wei H Lehman, Mengling Feng, Mohammad Ghassemi, Benjamin Moody, Peter Szolovits, Leo Anthony Celi, and Roger G Mark. 2016 · 2016

Earlier work this paper cites.

Lessons from natural language inference in the clinical domain

Original

Alexey Romanov and Chaitanya Shivade. 2018 · 2018

Earlier work this paper cites.

Publicly available clinical BERT embeddings

Emily Alsentzer, John Murphy, William Boag, Wei-Hung Weng, Di Jindi, Tristan Naumann, and Matthew McDermott. 2019 · 2019

Earlier work this paper cites.

On the summarization of consumer health questions

Asma Ben Abacha and Dina Demner-Fushman. 2019 · 2019

Earlier work this paper cites.

PubMedQA: A dataset for biomedical research question answering

Qiao Jin, Bhuwan Dhingra, Zhengping Liu, William Cohen, and Xinghua Lu. 2019 · 2019

Earlier work this paper cites.

ScispaCy: Fast and Robust Models for Biomedical Natural Language Processing

Mark Neumann, Daniel King, Iz Beltagy, and Waleed Ammar. 2019 · 2019

Earlier work this paper cites.

Superglue: A stickier benchmark for general-purpose language understanding systems

Alex Wang, Yada Pruksachatkun, Nikita Nangia, Amanpreet Singh, Julian Michael, Felix Hill, Omer Levy, and Samuel Bowman. 2019 · 2019

Earlier work this paper cites.

Bertscore: Evaluating text generation with bert

Original

Tianyi Zhang, Varsha Kishore, Felix Wu, Kilian Q Weinberger, and Yoav Artzi. 2019 · 2019

Earlier work this paper cites.

Measuring massive multitask language understanding

Dan Hendrycks, Collin Burns, Steven Basart, Andy Zou, Mantas Mazeika, Dawn Song, and Jacob Steinhardt. 2021 · 2021

Earlier work this paper cites.

What disease does this patient have? a large-scale open domain question answering dataset from medical exams

Di Jin, Eileen Pan, Nassim Oufattole, Wei-Hung Weng, Hanyi Fang, and Peter Szolovits. 2021 · 2021

Earlier work this paper cites.

Mimic-iv

Alistair Johnson, Lucas Bulgarelli, Tom Pollard, Steven Horng, Leo Anthony Celi, and Roger Mark. 2021 · 2021

Earlier work this paper cites.

Summarizing Patients’ Problems from Hospital Progress Notes Using Pre-trained Sequence-to-Sequence Models

Yanjun Gao, Dmitriy Dligach, Timothy Miller, Dongfang Xu, Matthew M. M. Churpek, and Majid Afshar. 2022 · 2022

Cited alongside, same era.

Medmcqa: A large-scale multi-subject multi-choice dataset for medical domain question answering

Ankit Pal, Logesh Kumar Umapathi, and Malaikannan Sankarasubbu. 2022 · 2022

Cited alongside, same era.

MEDITRON-70B: Scaling Medical Pretraining for Large Language Models

Original

Zeming Chen, Alejandro Hernández Cano, Angelika Romanou, Antoine Bonnet, Kyle Matoba, Francesco Salvi, Matteo Pagliardini, Simin Fan, Andreas Köpf, Amirkeivan Mohtashami, Alexandre Sallinen, Alireza Sakhaeirad, Vinitra Swamy, Igor Krawczuk, Deniz Bayazit, Axel Marmet, Syrielle Montariol, Mary-Anne Hartley, Martin Jaggi, and Antoine Bosselut. 2023 · 2023

Cited alongside, same era.

Dr. bench: Diagnostic reasoning benchmark for clinical natural language processing

Yanjun Gao, Dmitriy Dligach, Timothy Miller, John Caskey, Brihat Sharma, Matthew M Churpek, and Majid Afshar. 2023 · 2023

Cited alongside, same era.

Llama 3 model card

AI@Meta. 2024 · 2024

Closest in time.

Openbiollms: Advancing open-source large language models for healthcare and life sciences

Malaikannan Sankarasubbu Ankit Pal. 2024 · 2024

Closest in time.

Benchmarking large language models on answering and explaining challenging medical questions

Original

Hanjie Chen, Zhouxiang Fang, Yash Singla, and Mark Dredze. 2024 · 2024

Closest in time.

The llama 3 herd of models

Original

Abhimanyu Dubey, Abhinav Jauhri, Abhinav Pandey, Abhishek Kadian, Ahmad Al-Dahle, Aiesha Letman, Akhil Mathur, Alan Schelten, Amy Yang, Angela Fan, et al. 2024 · 2024

Closest in time.

Impact of high-quality, mixed-domain data on the performance of medical language models

Maxime Griot, Coralie Hemptinne, Jean Vanderdonckt, and Demet Yuksel. 2024 · 2024

Closest in time.