AIMC Topic: Detection Algorithms

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Applying Object Detection and Large Language Model to Establish a Smart Telemedicine Diagnosis System with Chatbot: A Case Study of Pressure Injuries Diagnosis System.

Telemedicine journal and e-health : the official journal of the American Telemedicine Association Mar 21, 2024
The scarcity of medical resources and personnel has worsened due to COVID-19. Telemedicine faces challenges in assessing wounds without physical examination. Evaluating pressure injuries is time consuming, energy intensive, and inconsistent. Most of...
Photography Pressure Ulcer Video Recording Detection Algorithms Large Language Models Image Processing, Computer-Assisted Digital Health Telemedicine Sensitivity and Specificity Humans Generative Artificial Intelligence
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Development of AI Based Fibrosis Detection Algorithm by SHG/TPEF Microscopy for Fully Quantified Liver Fibrosis Assessment in MASH.

Liver international : official journal of the International Association for the Study of the Liver Sep 1, 2025
BACKGROUND AND AIMS: Metabolic dysfunction-associated steatotic liver disease (MASLD) is a major global cause of chronic liver disease, with the potential to progress from steatosis to metabolic dysfunction-associated steatohepatitis (MASH) and cirrh...
Liver Biopsy Liver Cirrhosis Second Harmonic Generation Microscopy Detection Algorithms Microscopy, Fluorescence, Multiphoton Machine Learning Collagen Fatty Liver Algorithms Humans Artificial Intelligence
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Efficient polyp detection algorithm based on deep learning.

Scandinavian journal of gastroenterology Jun 1, 2025
OBJECTIVE: Colon polyp detection is crucial in reducing the incidence of colorectal cancer. However, due to the diverse morphology of colon polyps, their high similarity to surrounding tissues, and the difficulty of detecting small target polyps, fal...
Algorithms Colorectal Neoplasms Humans Colonic Polyps Image Interpretation, Computer-Assisted Deep Learning Colonoscopy Detection Algorithms
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Practical Approach for Evaluating Machine Learning Anomaly Detection Algorithms for Epidemic Early Warning Systems.

Studies in health technology and informatics May 15, 2025
Anomaly detection methods in time series data can play a pivotal role in epidemic surveillance Early Warning Systems (EWS). Statistical and rules-based methods have been traditionally employed in such systems, but are challenged by data dynamics and ...
Hepatitis C Detection Algorithms Epidemics COVID-19 Algorithms Machine Learning Humans
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Light Bladder Net: Non-invasive Bladder Cancer Prediction by Weighted Deep Learning Approaches and Graphical Data Transformation.

Anticancer research May 1, 2025
BACKGROUND/AIM: Bladder cancer (BCa) is associated with high recurrence rates, emphasizing the importance of early and accurate detection. This study aimed to develop a lightweight and fast deep learning model, Light-Bladder-Net (LBN), for non-invasi...
Deep Learning Early Detection of Cancer Urinary Bladder Neoplasms Sensitivity and Specificity Male Female Humans Prediction Methods, Machine Urinalysis Area Under Curve Detection Algorithms Predictive Value of Tests Datasets as Topic
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