Size doesn't matter: Assessing the trustworthiness of large language models in medical contexts: A focus on epidural information retrieval [0.03%]
大小无关紧要：评估大型语言模型在医学情境中的可信度：以硬膜外信息检索为重点
Marina Del Barrio,Kazim Laos,María José Vilchez Lara et al.
Marina Del Barrio et al.
Background: Since the release of ChatGPT, numerous LLMs have emerged, providing easy access to information without the need for technical expertise. However, relying on these systems can influence important life decisions...
A Character-level Convolutional Recurrent Interaction Network for joint traditional Chinese medicine clinical named entity recognition and relation extraction [0.03%]
基于字符的卷积循环交互网络在中药临床命名实体识别及关系抽取中的应用研究
Qiang Xu,Zhi-Hui Zhao,Wei-Wei Liu et al.
Qiang Xu et al.
The electronic medical record (EMR) of traditional Chinese medicine (TCM) is a crucial document for recording patients' clinical data, structured around four main dimensions: inspection, listening and smelling, inquiry, and palpation. Analy...
Learning with less: A survey of deep learning in medical imaging under varying supervision levels [0.03%]
以小博大：不同标注规模下的医学影像深度学习研究综述
Suruchi Kumari,Pravendra Singh
Suruchi Kumari
The rapid evolution of deep learning has significantly advanced the field of medical image analysis. However, despite these achievements, further progress is hindered by the scarcity of large, well-annotated datasets. To overcome this limit...
PreLora: A fine-tuning approach with low-rank matrix decomposition and prefix tuning for pre-hospital emergency text classification [0.03%]
基于低秩矩阵分解和前缀调优的预医院急救文本分类细调方法
Feng Tian,Xian Wang,Saicong Lu et al.
Feng Tian et al.
Objective: With expanding applications of artificial intelligence technology in the medical field, Large Language Models (LLMs) have achieved substantial success in medical text processing. However, there remain a number ...
Calibration-informed metrics for instance-level predictive reliability in medical AI [0.03%]
医学AI中实例水平预测可靠性的校准信息度量
Federico Cabitza
Federico Cabitza
Conventional performance metrics in clinical decision support systems, such as accuracy or sensitivity, fail to reflect the reliability of individual predictions-an essential concern for clinicians operating in high-stakes environments. We ...
Towards more efficient and better multi-view and multi-modal retinopathy assisted diagnosis [0.03%]
更高效且优秀的糖尿病视网膜病变多视角和多模态辅助诊断方法研究
Yonghao Huang,Chuan Zhou,Leiting Chen
Yonghao Huang
Fundus images are widely used in early retinopathy examination to prevent visual impairment caused by retinopathy. The retinopathy examination process based on fundus images can be mainly summarized in three steps: (1) ophthalmologists obta...
A novel ECG QRS complex detection algorithm based on dynamic Bayesian network [0.03%]
一种基于动态贝叶斯网络的新型心电QRS波检测算法
Qince Li,Yang Liu,Na Zhao et al.
Qince Li et al.
Accurate detection of the QRS complex, a crucial reference for heartbeat localization in electrocardiogram (ECG) signals, remains inadequate in wearable ECG devices due to complex noise interference. In this study, we propose a novel QRS co...
Mats Tveter,Thomas Tveitstøl,Christoffer Hatlestad-Hall et al.
Mats Tveter et al.
As artificial intelligence (AI) is increasingly integrated into medical diagnostics, it is essential that predictive models provide not only accurate outputs but also reliable estimates of uncertainty. In clinical applications, where decisi...
EEG-based epileptic seizure prediction with patient-tailored spectral-spatial-temporal feature learning [0.03%]
基于个体化频域空域时域特征学习的脑电癫痫发作预测
Woohyeok Choi,Jun-Mo Kim,Hyeonyeong Nam et al.
Woohyeok Choi et al.
Epilepsy is a chronic brain disorder characterized by recurrent seizures resulting from abnormal brain cell activity. The unpredictability of these seizures underscores the criticality of anticipating and promptly addressing them to enhance...
Comprehensive review of heart disease prediction: A comparative study from 2019 onwards [0.03%]
全面的心脏病预测回顾：2019年至今的比较研究
Monali Gulhane,Sandeep Kumar,Shilpa Choudhary et al.
Monali Gulhane et al.
In recent decades, cardiovascular disease, or heart disease, has been the number one cause of death worldwide, establishing an urgent need for timely and accurate early diagnosis. The primary purpose of this review is to examine the current...