AIMC Topic: Area Under Curve
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Multi-label classification of retinal diseases based on fundus images using Resnet and Transformer.
Medical & biological engineering & computing
Jun 14, 2024
Retinal disorders are a major cause of irreversible vision loss, which can be mitigated through accurate and early diagnosis. Conventionally, fundus images are used as the gold diagnosis standard in detecting retinal diseases. In recent years, more a...
Deep learning-based pathological prediction of lymph node metastasis for patient with renal cell carcinoma from primary whole slide images.
Journal of translational medicine
Jun 14, 2024
BACKGROUND: Metastasis renal cell carcinoma (RCC) patients have extremely high mortality rate. A predictive model for RCC micrometastasis based on pathomics could be beneficial for clinicians to make treatment decisions.
Enhancing the diagnosis of functionally relevant coronary artery disease with machine learning.
Nature communications
Jun 12, 2024
Functionally relevant coronary artery disease (fCAD) can result in premature death or nonfatal acute myocardial infarction. Its early detection is a fundamentally important task in medicine. Classical detection approaches suffer from limited diagnost...
Explainable Deep Learning Model for Predicting Serious Adverse Events in Hospitalized Geriatric Patients Within 72 Hours.
Clinical interventions in aging
Jun 12, 2024
BACKGROUND: The global aging population presents a significant challenge, with older adults experiencing declining physical and cognitive abilities and increased vulnerability to chronic diseases and adverse health outcomes. This study aims to develo...
Sequence homology score-based deep fuzzy network for identifying therapeutic peptides.
Neural networks : the official journal of the International Neural Network Society
Jun 10, 2024
The detection of therapeutic peptides is a topic of immense interest in the biomedical field. Conventional biochemical experiment-based detection techniques are tedious and time-consuming. Computational biology has become a useful tool for improving ...
Fine-Scale Spatial Prediction on the Risk of Infection in the Republic of Korea.
Journal of Korean medical science
Jun 10, 2024
BACKGROUND: Malaria elimination strategies in the Republic of Korea (ROK) have decreased malaria incidence but face challenges due to delayed case detection and response. To improve this, machine learning models for predicting malaria, focusing on hi...
Machine learning model based on radiomics features for AO/OTA classification of pelvic fractures on pelvic radiographs.
PloS one
May 30, 2024
Depending on the degree of fracture, pelvic fracture can be accompanied by vascular damage, and in severe cases, it may progress to hemorrhagic shock. Pelvic radiography can quickly diagnose pelvic fractures, and the Association for Osteosynthesis Fo...
Artificial intelligence enables precision diagnosis of cervical cytology grades and cervical cancer.
Nature communications
May 22, 2024
Cervical cancer is a significant global health issue, its prevalence and prognosis highlighting the importance of early screening for effective prevention. This research aimed to create and validate an artificial intelligence cervical cancer screenin...
Hyperspectral imaging with machine learning for in vivo skin carcinoma margin assessment: a preliminary study.
Physical and engineering sciences in medicine
May 21, 2024
Surgical excision is the most effective treatment of skin carcinomas (basal cell carcinoma or squamous cell carcinoma). Preoperative assessment of tumoral margins plays a decisive role for a successful result. The aim of this work was to evaluate the...
Autonomous screening for laser photocoagulation in fundus images using deep learning.
The British journal of ophthalmology
May 21, 2024
BACKGROUND: Diabetic retinopathy (DR) is a leading cause of blindness in adults worldwide. Artificial intelligence (AI) with autonomous deep learning algorithms has been increasingly used in retinal image analysis, particularly for the screening of r...
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