Predicting seizure recurrence after an initial seizure-like episode from routine clinical notes using large language models: a retrospective cohort study

BK Beaulieu-Jones, MF Villamar, P Scordis… - The Lancet Digital …, 2023 - thelancet.com
Background The evaluation and management of first-time seizure-like events in children can
be difficult because these episodes are not always directly observed and might be epileptic …

A proposed conceptual sport nutrition approach for athlete development and assessment: the athlete nutrition development approach

K Iwasa-Madge, E Sesbreno - Sports Medicine-Open, 2022 - Springer
Appropriate dietary intake can improve athletes' health and sport performance and is a direct
result of eating behaviours. Therefore, assessing and sha** athletes' eating behaviours …

Healai: A healthcare llm for effective medical documentation

S Goyal, E Rastogi, SP Rajagopal, D Yuan… - Proceedings of the 17th …, 2024 - dl.acm.org
Since the advent of LLM's like GPT4 everyone in various industries has been trying to
harness their power. Healthcare is an industry where this is a specifically challenging …

Leveraging pretrained models for automatic summarization of doctor-patient conversations

L Zhang, R Negrinho, A Ghosh, V Jagannathan… - arxiv preprint arxiv …, 2021 - arxiv.org
Fine-tuning pretrained models for automatically summarizing doctor-patient conversation
transcripts presents many challenges: limited training data, significant domain shift, long and …

Ethnokinesiology: towards a neuromechanical understanding of cultural differences in movement

LH Ting, B Gick, TM Kesar, J Xu - Philosophical …, 2024 - royalsocietypublishing.org
Each individual's movements are sculpted by constant interactions between sensorimotor
and sociocultural factors. A theoretical framework grounded in motor control mechanisms …

Natural language processing-driven state machines to extract social factors from unstructured clinical documentation

KS Allen, DR Hood, J Cummins, S Kasturi… - JAMIA …, 2023 - academic.oup.com
Objective This study sought to create natural language processing algorithms to extract the
presence of social factors from clinical text in 3 areas:(1) housing,(2) financial, and (3) …

Hierarchical annotation for building a suite of clinical natural language processing tasks: Progress note understanding

Y Gao, D Dligach, T Miller, S Tesch… - LREC …, 2022 - pmc.ncbi.nlm.nih.gov
Applying methods in natural language processing on electronic health records (EHR) data is
a growing field. Existing corpus and annotation focus on modeling textual features and …

Aci-bench: a novel ambient clinical intelligence dataset for benchmarking automatic visit note generation

W Yim, Y Fu, A Ben Abacha, N Snider, T Lin… - Scientific data, 2023 - nature.com
Recent immense breakthroughs in generative models such as in GPT4 have precipitated re-
imagined ubiquitous usage of these models in all applications. One area that can benefit by …

Revolutionary teaching approaches: exploring the educational landscape in pakistan via outcome-based education

AV Lama, ZH Sain, O Dermawan… - Journal of Information …, 2024 - journal.aira.or.id
Particular emphasis on the Outcome-Based Education (OBE) paradigm, this research aims
to investigate the innovative teaching approaches used in Pakistan's educational system …

[HTML][HTML] Predicting suicidal and self-injurious events in a correctional setting using AI algorithms on unstructured medical notes and structured data

H Lu, A Barrett, A Pierce, J Zheng, Y Wang… - Journal of psychiatric …, 2023 - Elsevier
Suicidal and self-injurious incidents in correctional settings deplete the institutional and
healthcare resources, create disorder and stress for staff and other inmates. Traditional …