Keyword-optimized template insertion for clinical note classification via prompt-based learning [0.03%]
Eugenia Alleva,Isotta Landi,Leslee J Shaw et al.
Eugenia Alleva et al.
Background: Prompt-based learning involves the additions of prompts (i.e., templates) to the input of pre-trained large language models (PLMs) to adapt them to specific tasks with minimal training. This technique is parti...
Development and external validation of machine learning models for the early prediction of malnutrition in critically ill patients: a prospective observational study [0.03%]
Yi Liu,Yehua Xu,Lixia Guo et al.
Yi Liu et al.
Background: Early detection of malnutrition in critically ill patients is crucial for timely intervention and improved clinical outcomes. However, identifying individuals at risk remains challenging due to the complexity ...
Observational Study
BMC medical informatics and decision making. 2025 Jul 3;25(1):248. DOI:10.1186/s12911-025-03082-9 2025
Integrating an AI platform into clinical IT: BPMN processes for clinical AI model development [0.03%]
临床IT中集成AI平台：临床AI模型开发的业务流程模型与 notation 流程
Kfeel Arshad,Saman Ardalan,Björn Schreiweis et al.
Kfeel Arshad et al.
Background: There has been a resurgence of Artificial Intelligence (AI) on a global scale in recent times, resulting in the development of cutting-edge AI solutions within hospitals. However, this has also led to the crea...
Towards a prescribing monitoring system for medication safety evaluation within electronic health records: a scoping review [0.03%]
基于电子健康记录的处方监测系统用药安全评估的研究回顾
Camilo Scherkl,Theresa Dierkes,Michael Metzner et al.
Camilo Scherkl et al.
Background: Medical care can fail for various reasons: diseases can remain undetected and their severity misjudged, therapies can be incorrectly dosed or ineffective, and therapies can trigger new conditions or adverse dr...
Exploring professionals' experiences with secure messaging in Dutch outpatient clinics: emerging differences in use frequencies and types across medical specialties [0.03%]
荷兰门诊诊所专业人员使用加密消息应用的经验调查：不同医学专科的使用频率和类型的区别初探
Marjolein A G van Offenbeek,Oskar P Roemeling,Anne Burggraaf
Marjolein A G van Offenbeek
Background: Secure digital messaging is a two-way communication channel that gained ground in healthcare over the past decade. While a direct channel between patients and providers may support patients, professionals' wor...
Clinicopathological observation and prognostic factors of invasive breast cancer with medullary in Xinjiang [0.03%]
新疆导管腔癌型浸润性乳腺癌的临床病理特征及预后因素分析
Yan Li,Xiaoping Ma,Zhenhui Zhao et al.
Yan Li et al.
Background: Invasive breast cancer (BC) with medullary is a special type of BC, accounting for 3 ~ 6% of invasive BC. To investigate clinicopathological characteristics concerning invasive BC with medullary in Xinjiang ar...
Priority setting of teleoncology services, and their barriers, and facilitators from oncologists and patients perspectives: a mixed-methods study [0.03%]
从肿瘤学专家和患者的角度对远程肿瘤学服务的优先设置、障碍及便利条件进行混合研究
Sareh Keshvardoost,Kambiz Bahaadinbeigy,Soodabeh Shahidsales et al.
Sareh Keshvardoost et al.
Background: Cancer is the second leading cause of death worldwide. Unlike the potential of telemedicine in the follow-up of chronic patients, many patients are still being examined in-person traditionally. This study aime...
Machine learning for detection of diffusion abnormalities-related respiratory changes among normal, overweight, and obese individuals based on BMI and pulmonary ventilation parameters: an observational study [0.03%]
基于BMI和肺通气参数的机器学习检测正常体重、超重和肥胖个体呼吸变化中的弥散异常：一项观察性研究
Xin-Yue Song,Xin-Peng Xie,Wen-Jing Xu et al.
Xin-Yue Song et al.
Background: The integration of machine learning (ML) algorithms enables the detection of diffusion abnormalities-related respiratory changes in individuals with normal body mass index (BMI), overweight, and obesity based ...
Observational Study
BMC medical informatics and decision making. 2025 Jul 1;25(1):240. DOI:10.1186/s12911-025-03064-x 2025
Deep learning-based cough classification using application-recorded sounds: a transfer learning approach with VGGish [0.03%]
基于深度学习的咳嗽分类：使用VGGish的迁移学习方法分类应用程序记录的声音
Sanghoon Han,Yu-Rim Lee,Ji-Ho Lee et al.
Sanghoon Han et al.
Background: Coughing sounds contain various bio-metric information with regards to respiratory diseases that can help in the assessment of respiratory diseases. While clinicians find coughs insightful, non-experts struggl...
Artificial intelligence in dentistry: insights and expectations from Swiss dental professionals [0.03%]
人工智能在牙科中的应用：瑞士牙科专业人士的见解与期望
Jérôme Donati,Michel Beyer,Johannes Brokmeier et al.
Jérôme Donati et al.
Background: The goal of this study was to explore Swiss dentists' opinions on artificial intelligence (AI) and illustrate possible correlations to sex, age or professional background. ...