AIMC Topic: Benchmarking

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US2Mask: Image-to-mask generation learning via a conditional GAN for cardiac ultrasound image segmentation.

Computers in biology and medicine Mar 15, 2024
Cardiac ultrasound (US) image segmentation is vital for evaluating clinical indices, but it often demands a large dataset and expert annotations, resulting in high costs for deep learning algorithms. To address this, our study presents a framework ut...
Echocardiography Image Processing, Computer-Assisted Artificial Intelligence Algorithms Semantics Benchmarking
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Evaluation of different approaches to define expert benchmark scores for new robotic training simulators based on the Medtronic HUGO™ RAS surgical robot experience.

Journal of robotic surgery Mar 7, 2024
New robot-assisted surgery platforms being developed will be required to have proficiency-based simulation training available. Scoring methodologies and performance feedback for trainees are currently not consistent across all robotic simulator platf...
Robotic Surgical Procedures Benchmarking Surgeons Robotics Humans Computer Simulation
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Leveraging Generative AI Tools to Support the Development of Digital Solutions in Health Care Research: Case Study.

JMIR human factors Mar 6, 2024
BACKGROUND: Generative artificial intelligence has the potential to revolutionize health technology product development by improving coding quality, efficiency, documentation, quality assessment and review, and troubleshooting.
Biomedical Technology Health Services Research Software Benchmarking Humans Artificial Intelligence
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A scoping review of fair machine learning techniques when using real-world data.

Journal of biomedical informatics Mar 6, 2024
OBJECTIVE: The integration of artificial intelligence (AI) and machine learning (ML) in health care to aid clinical decisions is widespread. However, as AI and ML take important roles in health care, there are concerns about AI and ML associated fair...
Artificial Intelligence Machine Learning Benchmarking Research Personnel Humans
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DEBCM: Deep Learning-Based Enhanced Breast Invasive Ductal Carcinoma Classification Model in IoMT Healthcare Systems.

IEEE journal of biomedical and health informatics Mar 6, 2024
Accurate breast cancer (BC) diagnosis is a difficult task that is critical for the proper treatment of BC in IoMT (Internet of Medical Things) healthcare systems. This paper proposes a convolutional neural network (CNN)-based diagnosis method for det...
Delivery of Health Care Female Benchmarking Humans Carcinoma, Ductal Breast Neoplasms Deep Learning
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Artificial intelligence-powered pharmacovigilance: A review of machine and deep learning in clinical text-based adverse drug event detection for benchmark datasets.

Journal of biomedical informatics Mar 5, 2024
OBJECTIVE: The primary objective of this review is to investigate the effectiveness of machine learning and deep learning methodologies in the context of extracting adverse drug events (ADEs) from clinical benchmark datasets. We conduct an in-depth a...
Drug-Related Side Effects and Adverse Reactions Pharmacovigilance Natural Language Processing Benchmarking Deep Learning Humans Artificial Intelligence
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Cognitive ergonomics and robotic surgery.

Journal of robotic surgery Mar 5, 2024
Cognitive ergonomics refer to mental resources and is associated with memory, sensory motor response, and perception. Cognitive workload (CWL) involves use of working memory (mental strain and effort) to complete a task. The three types of cognitive ...
Robotics Robotic Surgical Procedures Humans Learning Ergonomics Benchmarking
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Clinical applications of artificial intelligence in robotic surgery.

Journal of robotic surgery Mar 1, 2024
Artificial intelligence (AI) is revolutionizing nearly every aspect of modern life. In the medical field, robotic surgery is the sector with some of the most innovative and impactful advancements. In this narrative review, we outline recent contribut...
Automation Artificial Intelligence Surgeons Robotic Surgical Procedures Benchmarking Humans
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N-Level Hierarchy-Based Optimal Control to Develop Therapeutic Strategies for Ecological Evolutionary Dynamics Systems.

IEEE transactions on neural networks and learning systems Feb 29, 2024
This article mainly proposes an evolutionary algorithm and its first application to develop therapeutic strategies for ecological evolutionary dynamics systems (EEDS), obtaining the balance between tumor cells and immune cells by rationally arranging...
Benchmarking Biological Evolution Algorithms Research Design Humans Neural Networks, Computer
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Segment anything model for medical image segmentation: Current applications and future directions.

Computers in biology and medicine Feb 27, 2024
Due to the inherent flexibility of prompting, foundation models have emerged as the predominant force in the fields of natural language processing and computer vision. The recent introduction of the Segment Anything Model (SAM) signifies a noteworthy...
S-Adenosylmethionine Uncertainty Natural Language Processing Benchmarking Image Processing, Computer-Assisted
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