Research graph
References from PEFT: Evaluating parameter-efficient fine-tuning for clinical-note summarization across transformers and large language models. Local targets link to admitted publications; unresolved targets remain external evidence.
A dataset and benchmark for hospital course summarization with adapted large language models
10.1093/jamia/ocae312 · 2025 · External reference
Intrinsic dimensionality explains the effectiveness of language model fine-tuning
2021 · External reference
Abstractive text summarization: A comprehensive survey of techniques, systems, and challenges
10.1016/j.cosrev.2025.100762 · 2025 · External reference
A benchmarking framework and dataset for learning to defer in human-AI decision-making
10.1038/s41597-025-04664-y · 2025 · External reference
Exploring optimal granularity for extractive summarization of unstructured health records: Analysis of the largest multi-institutional archive of health records in Japan
10.1371/journal.pdig.0000099 · 2022 · External reference
An explainable hybrid deep learning system for tuberculosis detection with grad-CAM
10.1007/s10791-025-09791-z · 2025 · External reference
Large language models for explainable medical text summarization: A systematic literature review
10.1002/widm.70089 · 2026 · External reference
Structured LLM-generated clinical discharge summaries for nordic healthcare digitalization and wireless health integration
2026 · External reference
Smart breast cancer detection: Enhancing early breast cancer diagnosis-transitioning from convolutional neural network to involutional neural network and using smart wearable devices
10.1007/s11220-025-00561-1 · 2025 · External reference
Preventing content leakage in LLM-based medical RAG: Structure-only retrieval for faithful clinical summarization
2026 · External reference
The Venus score for the assessment of the quality and trustworthiness of biomedical datasets
10.1186/s13040-024-00412-x · 2025 · External reference
WisPerMed at “discharge me!”: Advancing text generation in healthcare with large language models, dynamic expert selection, and priming techniques on MIMIC-IV
2024 · External reference
Healthcare data sensitivity assessment through biomedical NLP-driven classification and statistical feature analysis
10.1007/s42979-024-03472-2 · 2024 · External reference
Automated generation of discharge summaries: Leveraging large language models with clinical data
10.1038/s41598-025-01618-7 · 2025 · External reference
Transfer learning with foundational models for time series forecasting using low-rank adaptations
10.1016/j.inffus.2025.103247 · 2025 · External reference
Quality of word and concept embeddings in targetted biomedical domains
10.1016/j.heliyon.2023.e16818 · 2023 · External reference
Pretraining-based relevance-aware visit similarity network for drug recommendation
2025 · External reference
Shimo lab at “discharge me!”: Discharge summarization by prompt-driven concatenation of electronic health record sections
2024 · External reference
Exploring the impact of interaction dynamics and professional capacity and development on cognitive medical errors: A multiple-case study of healthcare professionals in Jordan
10.1186/s12909-025-07082-1 · 2025 · External reference
Local clustering of relic neutrinos with kinetic field theory
10.1016/j.physletb.2023.138073 · 2023 · External reference
Unresolved reference
2019 · External reference
Zero-shot information extraction from radiological reports using ChatGPT
10.1016/j.ijmedinf.2023.105321 · 2024 · External reference
Unresolved reference
2021 · External reference
A survey on biomedical automatic text summarization with large language models
10.1016/j.ipm.2025.104216 · 2025 · External reference
Unresolved reference
2023 · External reference
Privacy-preserving artificial intelligence in healthcare: Techniques and applications
10.1016/j.compbiomed.2023.106848 · 2023 · External reference
Factors ensuring healthy work environments for municipal office workers in the disaster area after the Fukushima Daiichi nuclear power plant accident: A qualitative analysis
10.1016/j.ijdrr.2024.105125 · 2025 · External reference
Unresolved reference
2024 · External reference
Parameter-efficient fine-tuning without introducing new Latency
2023 · External reference
Dynamic adaptation of LoRA fine-tuning for efficient and task-specific optimization of large language models
2025 · External reference
HiFT: A hierarchical full parameter fine-tuning strategy
2024 · External reference
Pre-trained language models in medicine: A survey
10.1016/j.artmed.2024.102904 · 2024 · External reference
ChatGPT based contrastive learning for radiology report summarization
10.1016/j.eswa.2024.125827 · 2025 · External reference
Full parameter fine-tuning for large language models with limited resources
2024 · External reference
Advancing emotion recognition in social media: A novel integration of heterogeneous neural networks with fine-tuned language models
10.1016/j.ipm.2024.103974 · 2025 · External reference
The role of AI in hospitals and clinics: Transforming healthcare in the 21st century
10.3390/bioengineering11040337 · 2024 · External reference
Benchmarking large language models for MIMIC-IV clinical note summarization
2025 · External reference
Transformers and large language models in healthcare: A review
10.1016/j.artmed.2024.102900 · 2024 · External reference
The fine art of fine-tuning: A structured review of advanced LLM fine-tuning techniques
10.1016/j.nlp.2025.100144 · 2025 · External reference
Federated full-parameter tuning of billion-sized language models with communication cost under 18 kilobytes
2024 · External reference
Medical error reduction and prevention
2025 · External reference
TTE: Two tokens are enough to improve parameter-efficient tuning
10.1609/aaai.v39i19.34226 · 2025 · External reference
SUMEX: A hybrid framework for semantic textual similarity and explanation generation
10.1016/j.ipm.2024.103771 · 2024 · External reference
A survey of domain-specific fine-tuned large language models
10.1109/access.2026.3658096 · 2026 · External reference
Abstractive text summarization: State of the art, challenges, and improvements
10.1016/j.neucom.2024.128255 · 2024 · External reference
Unresolved reference
2025 · External reference
A survey of text summarization: Techniques, evaluation and challenges
10.1016/j.nlp.2024.100070 · 2024 · External reference
Evaluating large language models on medical evidence summarization
10.1038/s41746-023-00896-7 · 2023 · External reference
An overview of large AI models and their applications
10.1007/s44267-024-00065-8 · 2024 · External reference
Adapted large language models can outperform medical experts in clinical text summarization
10.1038/s41591-024-02855-5 · 2024 · External reference
Parameter-efficient fine-tuning in large language models: A survey of methodologies
10.1007/s10462-025-11236-4 · 2025 · External reference
Wonder at chemotimelines 2024: MedTimeline: An end-to-end NLP system for timeline extraction from clinical narratives
2024 · External reference
EPFL-MAKE at “discharge me!”: An LLM system for automatically generating discharge summaries of clinical electronic health record
2024 · External reference
Parameter-efficient fine-tuning methods for pretrained language models: A critical review and assessment
10.1109/tpami.2026.3657354 · 2026 · External reference
Data privacy in healthcare: In the era of artificial intelligence
10.4103/idoj.idoj_543_23 · 2023 · External reference
Unresolved reference
2025 · External reference
TCM-GPT: Efficient pre-training of large language models for domain adaptation in traditional Chinese medicine
10.1016/j.cmpbup.2024.100158 · 2024 · External reference
LATS: Low resource abstractive text summarization
10.1016/j.eswa.2025.128078 · 2025 · External reference
Pegasus: Pre-training with extracted gap-sentences for abstractive summarization
2020 · External reference
Large language models for explainable medical text summarization: A systematic literature review
10.1002/widm.70089 · ExternalCitation · doi-reference
Parameter-efficient fine-tuning in large language models: A survey of methodologies
10.1007/s10462-025-11236-4 · ExternalCitation · doi-reference
An explainable hybrid deep learning system for tuberculosis detection with grad-CAM
10.1007/s10791-025-09791-z · ExternalCitation · doi-reference
Smart breast cancer detection: Enhancing early breast cancer diagnosis-transitioning from convolutional neural network to involutional neural network and using smart wearable devices
10.1007/s11220-025-00561-1 · ExternalCitation · doi-reference
Healthcare data sensitivity assessment through biomedical NLP-driven classification and statistical feature analysis
10.1007/s42979-024-03472-2 · ExternalCitation · doi-reference
An overview of large AI models and their applications
10.1007/s44267-024-00065-8 · ExternalCitation · doi-reference
Transformers and large language models in healthcare: A review
10.1016/j.artmed.2024.102900 · ExternalCitation · doi-reference
Pre-trained language models in medicine: A survey
10.1016/j.artmed.2024.102904 · ExternalCitation · doi-reference
TCM-GPT: Efficient pre-training of large language models for domain adaptation in traditional Chinese medicine
10.1016/j.cmpbup.2024.100158 · ExternalCitation · doi-reference
Privacy-preserving artificial intelligence in healthcare: Techniques and applications
10.1016/j.compbiomed.2023.106848 · ExternalCitation · doi-reference
Abstractive text summarization: A comprehensive survey of techniques, systems, and challenges
10.1016/j.cosrev.2025.100762 · ExternalCitation · doi-reference
ChatGPT based contrastive learning for radiology report summarization
10.1016/j.eswa.2024.125827 · ExternalCitation · doi-reference
LATS: Low resource abstractive text summarization
10.1016/j.eswa.2025.128078 · ExternalCitation · doi-reference
Quality of word and concept embeddings in targetted biomedical domains
10.1016/j.heliyon.2023.e16818 · ExternalCitation · doi-reference
Factors ensuring healthy work environments for municipal office workers in the disaster area after the Fukushima Daiichi nuclear power plant accident: A qualitative analysis
10.1016/j.ijdrr.2024.105125 · ExternalCitation · doi-reference
Zero-shot information extraction from radiological reports using ChatGPT
10.1016/j.ijmedinf.2023.105321 · ExternalCitation · doi-reference
Transfer learning with foundational models for time series forecasting using low-rank adaptations
10.1016/j.inffus.2025.103247 · ExternalCitation · doi-reference
SUMEX: A hybrid framework for semantic textual similarity and explanation generation
10.1016/j.ipm.2024.103771 · ExternalCitation · doi-reference
Advancing emotion recognition in social media: A novel integration of heterogeneous neural networks with fine-tuned language models
10.1016/j.ipm.2024.103974 · ExternalCitation · doi-reference
A survey on biomedical automatic text summarization with large language models
10.1016/j.ipm.2025.104216 · ExternalCitation · doi-reference
Abstractive text summarization: State of the art, challenges, and improvements
10.1016/j.neucom.2024.128255 · ExternalCitation · doi-reference
A survey of text summarization: Techniques, evaluation and challenges
10.1016/j.nlp.2024.100070 · ExternalCitation · doi-reference
The fine art of fine-tuning: A structured review of advanced LLM fine-tuning techniques
10.1016/j.nlp.2025.100144 · ExternalCitation · doi-reference
Local clustering of relic neutrinos with kinetic field theory
10.1016/j.physletb.2023.138073 · ExternalCitation · doi-reference
Adapted large language models can outperform medical experts in clinical text summarization
10.1038/s41591-024-02855-5 · ExternalCitation · doi-reference
A benchmarking framework and dataset for learning to defer in human-AI decision-making
10.1038/s41597-025-04664-y · ExternalCitation · doi-reference
Automated generation of discharge summaries: Leveraging large language models with clinical data
10.1038/s41598-025-01618-7 · ExternalCitation · doi-reference
Evaluating large language models on medical evidence summarization
10.1038/s41746-023-00896-7 · ExternalCitation · doi-reference
A dataset and benchmark for hospital course summarization with adapted large language models
10.1093/jamia/ocae312 · ExternalCitation · doi-reference
A survey of domain-specific fine-tuned large language models
10.1109/access.2026.3658096 · ExternalCitation · doi-reference
Parameter-efficient fine-tuning methods for pretrained language models: A critical review and assessment
10.1109/tpami.2026.3657354 · ExternalCitation · doi-reference
Exploring the impact of interaction dynamics and professional capacity and development on cognitive medical errors: A multiple-case study of healthcare professionals in Jordan
10.1186/s12909-025-07082-1 · ExternalCitation · doi-reference
The Venus score for the assessment of the quality and trustworthiness of biomedical datasets
10.1186/s13040-024-00412-x · ExternalCitation · doi-reference
Exploring optimal granularity for extractive summarization of unstructured health records: Analysis of the largest multi-institutional archive of health records in Japan
10.1371/journal.pdig.0000099 · ExternalCitation · doi-reference
TTE: Two tokens are enough to improve parameter-efficient tuning
10.1609/aaai.v39i19.34226 · ExternalCitation · doi-reference
The role of AI in hospitals and clinics: Transforming healthcare in the 21st century
10.3390/bioengineering11040337 · ExternalCitation · doi-reference
Data privacy in healthcare: In the era of artificial intelligence
10.4103/idoj.idoj_543_23 · ExternalCitation · doi-reference
