A Snapshot of Digital Transformation in Hepatology and Rare Liver Disease Related Health Care: A UK Perspective [0.03%]
英国肝病和罕见肝脏疾病相关医疗的数字化转型概览
Aftab Ala,James Liu Yin,Christopher Cussen
Aftab Ala
In-Home Virtual Reality Program for Chronic Lower Back Pain: A Randomized Sham-Controlled Effectiveness Trial in a Clinically Severe and Diverse Sample [0.03%]
慢性下腰痛家庭虚拟现实计划：在临床严重且多样化的样本中进行的随机假对照有效性试验
Todd Maddox,Liesl Oldstone,Charisse Y Sparks et al.
Todd Maddox et al.
Objective: To determine whether an 8-week, self-administered in-home, behavioral skills virtual reality program for chronic low back pain (RelieVRx) that trains diaphragmatic breathing, biofeedback, cognition and emotion ...
Building a Natural Language Processing Artificial Intelligence to Predict Suicide-Related Events Based on Patient Portal Message Data [0.03%]
基于患者门户消息数据构建自然语言处理人工智能以预测自杀相关事件
Archis R Bhandarkar,Namrata Arya,Keldon K Lin et al.
Archis R Bhandarkar et al.
Objective: To develop a natural language processing artificial intelligence model trained on text from patient portal messages to predict 30-day suicide-related events (SRE). ...
Implementation of a Clinical Decision Support Platform for the Efficient Liberation and Assessment of Feeding and Nutritional Data in a Tertiary Neonatal Intensive Care Unit [0.03%]
新生儿重症监护病房喂养和营养数据释放及评估的临床决策支持平台的实现
Tammi L Jantzen,David R Genetti,Aamir A Nayeem et al.
Tammi L Jantzen et al.
Hospitals collect vast amounts of discrete patient data points, such as diagnoses, demographic characteristics, growth measures, and laboratory findings, all of which are stored in the electronic medical record (EMR). The early promise of u...
Dan Zeltzer,Lee Herzog,Yishai Pickman et al.
Dan Zeltzer et al.
Objective: To evaluate the diagnostic accuracy of artificial intelligence (AI)-generated clinical diagnoses. Patients and methods: A re...
Synergies and Challenges in the Preclinical and Clinical Implementation of Pathology Artificial Intelligence Applications [0.03%]
病理人工智能应用的前期临床和临床实施的协同效应与挑战
Hammad A Qureshi,Runjan Chetty,Jogile Kuklyte et al.
Hammad A Qureshi et al.
Recent introduction of digitalization in pathology has disrupted the field greatly with the potential to change the area immensely. Digital pathology has created the potential of applying advanced quantitative analysis and artificial intell...
Hemorrhage Evaluation and Detector System for Underserved Populations: HEADS-UP [0.03%]
面向医疗资源匮乏人群的出血评估和检测系统：HEADS-UP系统
Saif Salman,Qiangqiang Gu,Benoit Dherin et al.
Saif Salman et al.
Objective: To create a rapid, cloud-based, and deployable machine learning (ML) method named hemorrhage evaluation and detector system for underserved populations, potentially across the Mayo Clinic enterprise, then expan...
Deep Learning for Computed Tomography Assessment of Hepatic Fibrosis and Cirrhosis: A Systematic Review [0.03%]
基于深度学习的CT评估肝纤维化和肝硬化的系统评价研究
Numan Kutaiba,Ariel Dahan,Mark Goodwin et al.
Numan Kutaiba et al.
Studies were identified using deep learning artificial intelligence methods for the analysis of computed tomography images in the assessment of hepatic fibrosis and cirrhosis. A systematic review was conducted in line with the Preferred Rep...
Causal Deep Neural Network-Based Model for First-Line Hypertension Management [0.03%]
基于因果深度神经网络的一线高血压管理模型
Lee Herzog,Ran Ilan Ber,Zehavi Horowitz-Kugler et al.
Lee Herzog et al.
Objective: To develop and validate a machine learning model that predicts the most successful antihypertensive treatment for an individual. Patients and m...
Jean-Marie Aerts
Jean-Marie Aerts