| nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
| 1 |
A comparative study of recent large language models on generating hospital discharge summaries for lung cancer patients
|
Li, Yiming
|
|
|
168 |
C |
p.
|
artikel
|
| 2 |
A declarative approach for interactive process discovery in the clinical domain
|
Fernández-Llatas, Carlos
|
|
|
168 |
C |
p.
|
artikel
|
| 3 |
An attention-based framework for integrating WSI and genomic data in cancer survival prediction
|
Chen, Genlang
|
|
|
168 |
C |
p.
|
artikel
|
| 4 |
A trajectory-informed model for detecting drug-drug-host interaction from real-world data
|
Shi, Yi
|
|
|
168 |
C |
p.
|
artikel
|
| 5 |
Corrigendum to “Theory of trust and acceptance of artificial intelligence technology (TrAAIT): An instrument to assess clinician trust and acceptance of artificial intelligence” [J. Biomed. Inform. 148 (2023) 104550]
|
Stevens, Alexander F.
|
|
|
168 |
C |
p.
|
artikel
|
| 6 |
Do it faster with PICOS: Generative AI-Assisted systematic review screening
|
Vallamchetla, Sai Krishna
|
|
|
168 |
C |
p.
|
artikel
|
| 7 |
Evaluating large language models for information extraction from gastroscopy and colonoscopy reports through multi-strategy prompting
|
Yu, Zhengqiu
|
|
|
168 |
C |
p.
|
artikel
|
| 8 |
Focused digital cohort selection from social media using the metric backbone of biomedical knowledge graphs
|
Guo, Ziqi
|
|
|
168 |
C |
p.
|
artikel
|
| 9 |
GatorCLR: Personalized predictions of patient outcomes on electronic health records using self-supervised contrastive graph representation
|
Liu, Yuxi
|
|
|
168 |
C |
p.
|
artikel
|
| 10 |
GRU-TV: Time- and Velocity-aware Gated Recurrent Unit for patient representation
|
Liu, Ningtao
|
|
|
168 |
C |
p.
|
artikel
|
| 11 |
How well do multimodal LLMs interpret CT scans? An auto-evaluation framework for analyses
|
Zhu, Qingqing
|
|
|
168 |
C |
p.
|
artikel
|
| 12 |
KGiA: Drug repurposing through disease-aware knowledge graph augmentation
|
Oğuztüzün, Çerağ
|
|
|
168 |
C |
p.
|
artikel
|
| 13 |
Leveraging heterogeneous tabular of EHRs with prompt learning for clinical prediction
|
Yang, Xuebing
|
|
|
168 |
C |
p.
|
artikel
|
| 14 |
MedKA: A knowledge graph-augmented approach to improve factuality in medical Large Language Models
|
Deng, Yiyan
|
|
|
168 |
C |
p.
|
artikel
|
| 15 |
Monitoring strategies for continuous evaluation of deployed clinical prediction models
|
Kim, Grace Y.E.
|
|
|
168 |
C |
p.
|
artikel
|
| 16 |
Multi-view based heterogeneous graph contrastive learning for drug–target interaction prediction
|
Li, Chao
|
|
|
168 |
C |
p.
|
artikel
|
| 17 |
Ontology enrichment using a large language model: Applying lexical, semantic, and knowledge network-based similarity for concept placement
|
Kollapally, Navya Martin
|
|
|
168 |
C |
p.
|
artikel
|
| 18 |
Tailoring task arithmetic to address bias in models trained on multi-institutional datasets
|
Ding, Xiruo
|
|
|
168 |
C |
p.
|
artikel
|
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