output
20162024
most citedAdapted Large Language Models Can Outperform Medical Experts in Clinical Text Summarization

755 citations

5 papers

cs.CL2024★ 31 cited

A dataset and benchmark for hospital course summarization with adapted large language models

Asad Aali, Dave Van Veen, Yamin Ishraq Arefeen +9

Brief hospital course (BHC) summaries are clinical documents that summarize a patient's hospital stay. While large language models (LLMs) depict remarkable capabilities in automati…

cs.CL2023★ 755 cited

Adapted Large Language Models Can Outperform Medical Experts in Clinical Text Summarization

Dave Van Veen, Cara Van Uden, Louis Blankemeier +16

Analyzing vast textual data and summarizing key information from electronic health records imposes a substantial burden on how clinicians allocate their time. Although large langua…

cs.LG2023★ 90 cited

Development and validation of an interpretable machine learning-based calculator for predicting 5-year weight trajectories after bariatric surgery: a multinational retrospective cohort SOPHIA study

Patrick Saux, Pierre Bauvin, Violeta Raverdy +31

Background Weight loss trajectories after bariatric surgery vary widely between individuals, and predicting weight loss before the operation remains challenging. We aimed to develo…

q-bio.PE2017

Estimating the prevalence of infectious diseases from under-reported age-dependent compulsorily notification databases

Marcos Amaku, Marcelo Nascimento Burattini, Eleazar Chaib +4

Background: National or local laws, norms or regulations (sometimes and in some countries) require medical providers to report notifiable diseases to public health authorities. Rep…

math-ph2016★ 8 cited

Instantaneous spreading versus space localization for nonrelativistic quantum systems

F. A. B. Coutinho, W. F. Wreszinski

A theorem of Hegerfeldt (Instantaneous spreading and Einstein causality in quantum theory, Ann. Phys. Leipzig vol. 7, 716-725 (1998)) establishes, for a class of quantum systems, a…