AIMC Topic: Benchmarking
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Deep learning-based lung image registration: A review.
Computers in biology and medicine
Sep 1, 2023
Lung image registration can effectively describe the relative motion of lung tissues, thereby helping to solve series problems in clinical applications. Since the lungs are soft and fairly passive organs, they are influenced by respiration and heartb...
Groundwork for AI: Enforcing a benchmark for neoantigen prediction in personalized cancer immunotherapy.
Social studies of science
Aug 31, 2023
This article expands on recent studies of machine learning or artificial intelligence (AI) algorithms that crucially depend on benchmark datasets, often called 'ground truths.' These ground-truth datasets gather input-data and output-targets, thereby...
Selective UMLS knowledge infusion for biomedical question answering.
Scientific reports
Aug 30, 2023
One of the artificial intelligence applications in the biomedical field is knowledge-intensive question-answering. As domain expertise is particularly crucial in this field, we propose a method for efficiently infusing biomedical knowledge into pretr...
Deep Learning Based Walking Tasks Classification in Older Adults Using fNIRS.
IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society
Aug 30, 2023
Decline in gait features is common in older adults and an indicator of increased risk of disability, morbidity, and mortality. Under dual task walking (DTW) conditions, further degradation in the performance of both the gait and the secondary cogniti...
Deep Learning in the Recognition of Activities of Daily Living Using Smartwatch Data.
Sensors (Basel, Switzerland)
Aug 29, 2023
The recognition of human activities (HAR) using wearable device data, such as smartwatches, has gained significant attention in the field of computer science due to its potential to provide insights into individuals' daily activities. This article ai...
Breast Cancer Histopathological Images Segmentation Using Deep Learning.
Sensors (Basel, Switzerland)
Aug 22, 2023
Hospitals generate a significant amount of medical data every day, which constitute a very rich database for research. Today, this database is still not exploitable because to make its valorization possible, the images require an annotation which rem...
A Novel Two-Stage Induced Deep Learning System for Classifying Similar Drugs with Diverse Packaging.
Sensors (Basel, Switzerland)
Aug 19, 2023
Dispensing errors play a crucial role in various medical errors, unfortunately emerging as the third leading cause of death in the United States. This alarming statistic has spurred the World Health Organization (WHO) into action, leading to the init...
Deep learning-based dose map prediction for high-dose-rate brachytherapy.
Physics in medicine and biology
Aug 17, 2023
. Creating a clinically acceptable plan in the time-sensitive clinic workflow of brachytherapy is challenging. Deep learning-based dose prediction techniques have been reported as promising solutions with high efficiency and accuracy. However, curren...
Technical skill assessment in minimally invasive surgery using artificial intelligence: a systematic review.
Surgical endoscopy
Aug 16, 2023
BACKGROUND: Technical skill assessment in surgery relies on expert opinion. Therefore, it is time-consuming, costly, and often lacks objectivity. Analysis of intraoperative data by artificial intelligence (AI) has the potential for automated technica...
MedTric : A clinically applicable metric for evaluation of multi-label computational diagnostic systems.
PloS one
Aug 10, 2023
When judging the quality of a computational system for a pathological screening task, several factors seem to be important, like sensitivity, specificity, accuracy, etc. With machine learning based approaches showing promise in the multi-label paradi...
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