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Natural Language Processing-Driven Artificial Intelligence Models for the Diagnosis of Lumbar Disc Herniation with L5 and S1 Radiculopathy: A Preliminary Evaluation.
World neurosurgery
Jun 13, 2024
OBJECTIVE: To develop and validate natural language processing-driven artificial intelligence (AI) models for the diagnosis of lumbar disc herniation (LDH) with L5 and S1 radiculopathy using electronic health records (EHRs).
Developing Machine Learning-Based Predictive Models for Hallux Valgus Recurrence Based on Measurements From Radiographs.
Foot & ankle international
Jun 13, 2024
BACKGROUND: Machine learning (ML) is increasingly used to predict the prognosis of numerous diseases. This retrospective analysis aimed to develop a prediction model using ML algorithms and to identify predictors associated with the recurrence of hal...
Care Providers' Perspectives on the Design of Assistive Persuasive Behaviors for Socially Assistive Robots.
Journal of the American Medical Directors Association
Jun 13, 2024
OBJECTIVES: The main objectives of this research are (1) to uniquely design assistive behaviors for socially assistive robots using the principles of persuasion from behavioral psychology, and (2) to investigate caregivers' perspectives and opinions ...
Falls Prevention Using AI and Remote Surveillance in Nursing Homes.
Journal of the American Medical Directors Association
Jun 13, 2024
The older population of United States is growing, with more adults having complicated medical conditions being admitted into nursing facilities and assisted living facilities. With the COVID-19 pandemic, the biggest challenge has been falls preventio...
Assessing fairness in machine learning models: A study of racial bias using matched counterparts in mortality prediction for patients with chronic diseases.
Journal of biomedical informatics
Jun 13, 2024
OBJECTIVE: Existing approaches to fairness evaluation often overlook systematic differences in the social determinants of health, like demographics and socioeconomics, among comparison groups, potentially leading to inaccurate or even contradictory c...
Using machine learning to develop preoperative model for lymph node metastasis in patients with bladder urothelial carcinoma.
BMC cancer
Jun 13, 2024
BACKGROUND: Lymph node metastasis (LNM) is associated with worse prognosis in bladder urothelial carcinoma (BUC) patients. This study aimed to develop and validate machine learning (ML) models to preoperatively predict LNM in BUC patients treated wit...
A real-world pharmacovigilance study on cardiovascular adverse events of tisagenlecleucel using machine learning approach.
Scientific reports
Jun 13, 2024
Chimeric antigen receptor T-cell (CAR-T) therapies are a paradigm-shifting therapeutic in patients with hematological malignancies. However, some concerns remain that they may cause serious cardiovascular adverse events (AEs), for which data are scar...
Streamlining Acute Abdominal Aortic Dissection Management-An AI-based CT Imaging Workflow.
Journal of imaging informatics in medicine
Jun 12, 2024
Life-threatening acute aortic dissection (AD) demands timely diagnosis for effective intervention. To streamline intrahospital workflows, automated detection of AD in abdominal computed tomography (CT) scans seems useful to assist humans. We aimed at...
AI Detection of Glottic Neoplasm Using Voice Signals, Demographics, and Structured Medical Records.
The Laryngoscope
Jun 12, 2024
OBJECTIVE: This study investigated whether artificial intelligence (AI) models combining voice signals, demographics, and structured medical records can detect glottic neoplasm from benign voice disorders.
Sex estimation from coxal bones using deep learning in a population balanced by sex and age.
International journal of legal medicine
Jun 12, 2024
In the field of forensic anthropology, researchers aim to identify anonymous human remains and determine the cause and circumstances of death from skeletonized human remains. Sex determination is a fundamental step of this procedure because it influe...
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