AIMC Topic: Neural Networks, Computer

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Tissue Classification After Bone-Anchored Hearing Implant Surgery: A Machine Learning Approach to Monitoring Skin Response.

Otology & neurotology : official publication of the American Otological Society, American Neurotology Society [and] European Academy of Otology and Neurotology Aug 1, 2024
HYPOTHESIS: Here, we aim to 1) expand the available evidence for the use of machine learning techniques for soft tissue classification after BCD surgery and 2) discuss the implications of such approaches toward the development of classification appli...
Hearing Aids Bone Conduction Humans Neural Networks, Computer Machine Learning Skin Bone-Anchored Prosthesis
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Development and clinical validation of a deep learning-based knee CT image segmentation method for robotic-assisted total knee arthroplasty.

The international journal of medical robotics + computer assisted surgery : MRCAS Aug 1, 2024
BACKGROUND: This study aimed to develop a novel deep convolutional neural network called Dual-path Double Attention Transformer (DDA-Transformer) designed to achieve precise and fast knee joint CT image segmentation and to validate it in robotic-assi...
Imaging, Three-Dimensional Image Processing, Computer-Assisted Robotic Surgical Procedures Middle Aged Deep Learning Tibia Femur Surgery, Computer-Assisted Knee Joint Arthroplasty, Replacement, Knee Tomography, X-Ray Computed Female Reproducibility of Results Aged Male Humans Neural Networks, Computer Algorithms
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De novo synthetic antimicrobial peptide design with a recurrent neural network.

Protein science : a publication of the Protein Society Aug 1, 2024
Antibiotic resistance is recognized as an imminent and growing global health threat. New antimicrobial drugs are urgently needed due to the decreasing effectiveness of conventional small-molecule antibiotics. Antimicrobial peptides (AMPs), a class of...
Neural Networks, Computer Microbial Sensitivity Tests Antimicrobial Peptides Escherichia coli Staphylococcus aureus Anti-Bacterial Agents Drug Design
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Automatic uncovering of patient primary concerns in portal messages using a fusion framework of pretrained language models.

Journal of the American Medical Informatics Association : JAMIA Aug 1, 2024
OBJECTIVES: The surge in patient portal messages (PPMs) with increasing needs and workloads for efficient PPM triage in healthcare settings has spurred the exploration of AI-driven solutions to streamline the healthcare workflow processes, ensuring t...
Humans Neural Networks, Computer Machine Learning Natural Language Processing Patient Portals
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Stratifying heart failure patients with graph neural network and transformer using Electronic Health Records to optimize drug response prediction.

Journal of the American Medical Informatics Association : JAMIA Aug 1, 2024
OBJECTIVES: Heart failure (HF) impacts millions of patients worldwide, yet the variability in treatment responses remains a major challenge for healthcare professionals. The current treatment strategies, largely derived from population based evidence...
Electronic Health Records Female Aged Humans Neural Networks, Computer Heart Failure Male Natriuretic Peptide, Brain Middle Aged Cardiovascular Agents Treatment Outcome
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[Application of Photoplethysmography Combined with Deep Learning in Postoperative Monitoring of Flaps].

Zhongguo yi liao qi xie za zhi = Chinese journal of medical instrumentation Jul 30, 2024
OBJECTIVE: Photoelectric volumetric tracing (PPG) exhibits high sensitivity and specificity in flap monitoring. Deep learning (DL) is capable of automatically and robustly extracting features from raw data. In this study, we propose combining PPG wit...
Surgical Flaps Embolism Monitoring, Physiologic Neural Networks, Computer Rabbits Animals Postoperative Period Deep Learning Photoplethysmography
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[Deep Learning-Based Artificial Intelligence Model for Automatic Carotid Plaque Identification].

Zhongguo yi liao qi xie za zhi = Chinese journal of medical instrumentation Jul 30, 2024
This study aims at developing a dataset for determining the presence of carotid artery plaques in ultrasound images, composed of 1761 ultrasound images from 1165 participants. A deep learning architecture that combines bilinear convolutional neural n...
Humans Neural Networks, Computer Artificial Intelligence Deep Learning Carotid Artery Diseases Carotid Arteries Ultrasonography Plaque, Atherosclerotic Image Processing, Computer-Assisted Carotid Stenosis
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ACP-CapsPred: an explainable computational framework for identification and functional prediction of anticancer peptides based on capsule network.

Briefings in bioinformatics Jul 25, 2024
Cancer is a severe illness that significantly threatens human life and health. Anticancer peptides (ACPs) represent a promising therapeutic strategy for combating cancer. In silico methods enable rapid and accurate identification of ACPs without exte...
Computational Biology Databases, Protein Humans Neoplasms Neural Networks, Computer Peptides Antineoplastic Agents
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Designing interpretable deep learning applications for functional genomics: a quantitative analysis.

Briefings in bioinformatics Jul 25, 2024
Deep learning applications have had a profound impact on many scientific fields, including functional genomics. Deep learning models can learn complex interactions between and within omics data; however, interpreting and explaining these models can b...
Genomics Humans Computational Biology Neural Networks, Computer Deep Learning
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Multimodal functional deep learning for multiomics data.

Briefings in bioinformatics Jul 25, 2024
With rapidly evolving high-throughput technologies and consistently decreasing costs, collecting multimodal omics data in large-scale studies has become feasible. Although studying multiomics provides a new comprehensive approach in understanding the...
Humans Neural Networks, Computer Algorithms Multiomics Deep Learning Genomics Computational Biology
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