AIMC Topic: Benchmarking

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Expanding the utility of robotics for pancreaticoduodenectomy: a 10-year review and comparison to international benchmarks in pancreatic surgery.

Surgical endoscopy Sep 25, 2023
BACKGROUND: Robotic pancreaticoduodenectomy (RPD) is an emerging alternative to open pancreaticoduodenectomy (OPD). Although RPD offers various theoretical advantages, it is used in less than 10% of all pancreaticoduodenectomies. The aim of this stud...
Robotics Robotic Surgical Procedures Benchmarking Pancreaticoduodenectomy Postoperative Complications Pancreatic Neoplasms Humans Retrospective Studies
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Understanding calibration of deep neural networks for medical image classification.

Computer methods and programs in biomedicine Sep 22, 2023
Background and Objective - In the field of medical image analysis, achieving high accuracy is not enough; ensuring well-calibrated predictions is also crucial. Confidence scores of a deep neural network play a pivotal role in explainability by provid...
Neural Networks, Computer Benchmarking Rotation Calibration Empirical Research
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SelANet: decision-assisting selective sleep apnea detection based on confidence score.

BMC medical informatics and decision making Sep 21, 2023
BACKGROUND: One of the most common sleep disorders is sleep apnea syndrome. To diagnose sleep apnea syndrome, polysomnography is typically used, but it has limitations in terms of labor, cost, and time. Therefore, studies have been conducted to devel...
Sleep Apnea Syndromes Benchmarking Algorithms Electrocardiography Humans Artificial Intelligence
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Predicting 'Brainage' in late childhood to adolescence (6-17yrs) using structural MRI, morphometric similarity, and machine learning.

Scientific reports Sep 20, 2023
Brain development is regularly studied using structural MRI. Recently, studies have used a combination of statistical learning and large-scale imaging databases of healthy children to predict an individual's age from structural MRI. This data-driven,...
Magnetic Resonance Imaging Benchmarking Adolescent Child Healthy Volunteers Humans Machine Learning Databases, Factual
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Development of a national deep learning-based auto-segmentation model for the heart on clinical delineations from the DBCG RT nation cohort.

Acta oncologica (Stockholm, Sweden) Sep 15, 2023
BACKGROUND: This study aimed at investigating the feasibility of developing a deep learning-based auto-segmentation model for the heart trained on clinical delineations.
Deep Learning Image Processing, Computer-Assisted Humans Patient Compliance Heart Benchmarking
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FOESO-Net: A specific neural network for fast sensorless robot manipulator torque estimation.

Neural networks : the official journal of the International Neural Network Society Sep 14, 2023
Contact torque sensing allows robot manipulators to cooperate with humans and detect accidental collisions in real time to ensure safety. Most sensorless torque estimation schemes, which are based on linear observer approaches, cannot compromise betw...
Humans Neural Networks, Computer Torque Robotics Learning Benchmarking
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NN-RNALoc: Neural network-based model for prediction of mRNA sub-cellular localization using distance-based sub-sequence profiles.

PloS one Sep 14, 2023
The localization of messenger RNAs (mRNAs) is a frequently observed phenomenon and a crucial aspect of gene expression regulation. It is also a mechanism for targeting proteins to a specific cellular region. Moreover, prior research and studies have ...
Mutation Benchmarking Software RNA, Messenger Neural Networks, Computer
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Improved patient mortality predictions in emergency departments with deep learning data-synthesis and ensemble models.

Scientific reports Sep 12, 2023
The triage process in emergency departments (EDs) relies on the subjective assessment of medical practitioners, making it unreliable in certain aspects. There is a need for a more accurate and objective algorithm to determine the urgency of patients....
Algorithms Animals Deep Learning Emergency Service, Hospital Humans Bayes Theorem Benchmarking Cubozoa
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IRv2-Net: A Deep Learning Framework for Enhanced Polyp Segmentation Performance Integrating InceptionResNetV2 and UNet Architecture with Test Time Augmentation Techniques.

Sensors (Basel, Switzerland) Sep 7, 2023
Colorectal polyps in the colon or rectum are precancerous growths that can lead to a more severe disease called colorectal cancer. Accurate segmentation of polyps using medical imaging data is essential for effective diagnosis. However, manual segmen...
Algorithms Area Under Curve Benchmarking Deep Learning Image Processing, Computer-Assisted
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Aci-bench: a Novel Ambient Clinical Intelligence Dataset for Benchmarking Automatic Visit Note Generation.

Scientific data Sep 6, 2023
Recent immense breakthroughs in generative models such as in GPT4 have precipitated re-imagined ubiquitous usage of these models in all applications. One area that can benefit by improvements in artificial intelligence (AI) is healthcare. The note ge...
Benchmarking Artificial Intelligence Health Facilities Electronic Health Records Humans
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