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Middle Aged
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A machine learning-based model for predicting paroxysmal and persistent atrial fibrillation based on EHR.
BMC medical informatics and decision making
Feb 3, 2025
BACKGROUND: There is no effective way to accurately predict paroxysmal and persistent atrial fibrillation (AF) subtypes unless electrocardiogram (ECG) observation is obtained. We aim to develop a predictive model using a machine learning algorithm fo...
Feasibility of remote robot empowered teleultrasound scanning for radioactive patients.
Scientific reports
Feb 3, 2025
To investigate the feasibility of robot-assisted teleultrasound diagnosis for radioactive patients compared with conventional ultrasound diagnosis. In this prospective study (ChineseClinicalTrials.gov identifier, ChiCTR2200057253), 32 radioactive pat...
Prediction of the Risk of Adverse Clinical Outcomes with Machine Learning Techniques in Patients with Noncommunicable Diseases.
Journal of medical systems
Feb 3, 2025
Decision-making in chronic diseases guided by clinical decision support systems that use models including multiple variables based on artificial intelligence requires scientific validation in different populations to optimize the use of limited human...
Deep learning and radiomics for gastric cancer serosal invasion: automated segmentation and multi-machine learning from two centers.
Journal of cancer research and clinical oncology
Feb 3, 2025
OBJECTIVE: The objective of this study is to develop an automated method for segmenting spleen computed tomography (CT) images using a deep learning model. This approach is intended to address the limitations of manual segmentation, which is known to...
AI language model rivals expert ethicist in perceived moral expertise.
Scientific reports
Feb 3, 2025
People view AI as possessing expertise across various fields, but the perceived quality of AI-generated moral expertise remains uncertain. Recent work suggests that large language models (LLMs) perform well on tasks designed to assess moral alignment...
Applicability of Artificial Intelligence Analysis in Oral Cytopathology: A Pilot Study.
Acta cytologica
Feb 3, 2025
INTRODUCTION: Oral cancer, especially oral squamous cell carcinoma (OSCC), is a global health challenge due to factors such as late detection and high mortality rates. Early detection is essential through monitoring by healthcare professionals. Cytop...
Middle Aged
Image Interpretation, Computer-Assisted
Reproducibility of Results
Pilot Projects
Artificial Intelligence
Papanicolaou Test
Humans
Early Detection of Cancer
Aged
Female
Adult
Squamous Cell Carcinoma of Head and Neck
Carcinoma, Squamous Cell
Male
Predictive Value of Tests
Mouth Neoplasms
Cytodiagnosis
Assessment of ChatGPT-generated medical Arabic responses for patients with metabolic dysfunction-associated steatotic liver disease.
PloS one
Feb 3, 2025
BACKGROUND AND AIM: Artificial intelligence (AI)-powered chatbots, such as Chat Generative Pretrained Transformer (ChatGPT), have shown promising results in healthcare settings. These tools can help patients obtain real-time responses to queries, ens...
[Use of Artificial Intelligence in Diabetic Retinopathy Screening: Experience in a Health Service in Santiago, Chile].
Revista medica de Chile
Feb 3, 2025
UNLABELLED: Early detection of diabetic retinopathy is critical for preventing vision loss.
Conventional and machine learning-based analysis of age, body weight and body height significance in knot position-related thyrohyoid and cervical spine fractures in suicidal hangings.
International journal of legal medicine
Feb 1, 2025
The thyrohyoid complex and cervical spine fracture distribution patterns may reflect the knot position as the force distribution by the noose to different neck regions may vary depending on it. Recently, machine learning models (MLm) were used to cla...
A comparative analysis of trauma-related mortality in South Korea using classification models.
International journal of medical informatics
Feb 1, 2025
BACKGROUND: Reducing mortality among severe trauma patients requires the establishment of an effective emergency transportation system and the rapid transfer of patients to appropriate medical facilities. Machine learning offers significant potential...
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