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http://dx.doi.org/10.1111/jgs.19273 | DOI Listing |
Background: Ambient artificial intelligence offers promise for improving documentation efficiency and reducing provider burden through clinical note generation. However, challenges persist in workflow integration, compliance, and widespread adoption. This study leveraged a Learning Health System (LHS) framework to align research and operations using a hybrid effectiveness-implementation protocol, embedded as pragmatic trial operations within the electronic health record (EHR).
View Article and Find Full Text PDFBackground: People with Alzheimer's disease (AD) exhibit varying clinical trajectories. There is a need to predict future AD-related outcomes such as morbidity and mortality using clinical profile at the point of care.
Objective: To stratify AD patients based on baseline clinical profiles (up to two years prior to AD diagnosis) and update the model after AD diagnosis to prognosticate future AD-related outcomes.
JMIRx Med
January 2025
Department of Oncology, Radiotherapy and Plastic and Reconstructive Surgery, Sechenov University, Bolshaya Pirogovskaya, 6c1, Moscow, 119021, Russian Federation, 7 9013488810.
Intro: Breast cancer is the leading cause of morbidity and mortality worldwide. Accurate sentinel lymph node (SLN) mapping is crucial for staging and treatment planning in early-stage breast cancer. Indocyanine green (ICG) has emerged as a promising agent for fluorescence imaging in SLN mapping.
View Article and Find Full Text PDFBMC Oral Health
January 2025
Paediatric Dentistry and Dental Public Health Department, Faculty of Dentistry, Cairo University, EL-Saraya Street, Cairo, Egypt.
Background: There are different intraoral appliances for cessation of thumb/finger sucking habit, but they have many disadvantages and to overcome it, extra oral appliances with colourful and attractive shape were developed. Electronic habit reminder in the form of wristwatch with alarming sound was assessed in cessation of thumb/finger sucking habit in children versus palatal crib after 6 and 9 months.
Methods: This study is a randomized clinical pilot study, with allocation ratio 1:1 parallel group.
Sci Rep
January 2025
Department of Emergency, The First Hospital of China Medical University, No. 155, Nanjing North Street, Heping District, Shenyang, 11001, China.
The study aimed to develop and validate a sepsis prediction model using structured electronic medical records (sEMR) and machine learning (ML) methods in emergency triage. The goal was to enhance early sepsis screening by integrating comprehensive triage information beyond vital signs. This retrospective cohort study utilized data from the MIMIC-IV database.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!