AIMC Topic: Algorithms

Clear Filters Showing 391 to 400 of 27746 articles

A radiomics-clinical predictive model for difficult laparoscopic cholecystectomy based on preoperative CT imaging: a retrospective single center study.

World journal of emergency surgery : WJES Jul 14, 2025
BACKGROUND: Accurately identifying difficult laparoscopic cholecystectomy (DLC) preoperatively remains a clinical challenge. Previous studies utilizing clinical variables or morphological imaging markers have demonstrated suboptimal predictive perfor...
Radiomics Male Middle Aged Predictive Value of Tests Cholecystectomy, Laparoscopic Humans Machine Learning Female Algorithms Aged Adult Retrospective Studies Tomography, X-Ray Computed
View on PubMed DOI

Characterizing individual and methodological risk factors for survey non-completion using machine learning: findings from the U.S. Millennium Cohort Study.

BMC medical research methodology Jul 14, 2025
BACKGROUND: Missing survey data can threaten the validity and generalizability of findings from longitudinal cohort studies. Respondent characteristics and survey attributes may contribute to patterns of survey non-completion, a form of missing data ...
Humans Male Middle Aged Surveys and Questionnaires Cohort Studies Female Machine Learning United States Risk Factors Algorithms Longitudinal Studies Adult
View on PubMed DOI

Quantitative phase imaging with temporal kinetics predicts hematopoietic stem cell diversity.

Nature communications Jul 14, 2025
Innovative identification technologies for hematopoietic stem cells (HSCs) have expanded the scope of stem cell biology. Clinically, the functional quality of HSCs critically influences the safety and therapeutic efficacy of stem cell therapies. Howe...
Mice Mice, Inbred C57BL Kinetics Hematopoietic Stem Cells Quantitative Phase Imaging Algorithms Animals Single-Cell Analysis Humans Machine Learning
View on PubMed DOI

Generative AI enables medical image segmentation in ultra low-data regimes.

Nature communications Jul 14, 2025
Semantic segmentation of medical images is pivotal in applications like disease diagnosis and treatment planning. While deep learning automates this task effectively, it struggles in ultra low-data regimes for the scarcity of annotated segmentation m...
Image Processing, Computer-Assisted Diagnostic Imaging Algorithms Deep Learning Humans
View on PubMed DOI

Contrastive learning enhanced pseudo-labeling for unsupervised domain adaptation in person re-identification.

PloS one Jul 14, 2025
Person re-identification (ReID) technology has many applications in intelligent surveillance and public safety. However, the domain difference between the source and target domains makes the generalization ability of the model extremely challenging. ...
Humans Algorithms Unsupervised Machine Learning Biometric Identification
View on PubMed DOI

Decoding basic emotional states through integration of an fNIRS-based brain-computer interface with supervised learning algorithms.

PloS one Jul 14, 2025
Automated detection of emotional states through brain-computer interfaces (BCIs) offers significant potential for enhancing user experiences and personalizing services across domains such as mental health, adaptive learning and interactive entertainm...
Humans Algorithms Female Support Vector Machine Emotions Male Supervised Machine Learning Spectroscopy, Near-Infrared Brain-Computer Interfaces Prefrontal Cortex Young Adult Adult
View on PubMed DOI

Robustness evaluation against corruptions for Optical Diffraction Tomography-based classifiers.

Computers in biology and medicine Jul 13, 2025
Optical Diffraction Tomography (ODT) is a promising technique for three-dimensional imaging, but practical use demands rigorous robustness testing due to real-world noise factors. Despite the growing importance of machine learning safety, robustness ...
Tomography, Optical Algorithms Imaging, Three-Dimensional Image Processing, Computer-Assisted Humans Machine Learning
View on PubMed DOI

CoBdock-2: enhancing blind docking performance through hybrid feature selection combining ensemble and multimodel feature selection approaches.

Journal of computer-aided molecular design Jul 13, 2025
Identifying orthosteric binding sites and predicting small molecule affinities remains a key challenge in virtual screening. While blind docking explores the entire protein surface, its precision is hindered by the vast search space. Cavity detection...
Molecular Docking Simulation Protein Binding Proteins Software Algorithms Ligands Protein Conformation Machine Learning Binding Sites
View on PubMed DOI

Early breast cancer detection via infrared thermography using a CNN enhanced with particle swarm optimization.

Scientific reports Jul 13, 2025
Breast cancer remains the most prevalent cause of cancer-related mortality among women worldwide, with an estimated incidence exceeding 500,000 new cases annually. Timely diagnosis is vital for enhancing therapeutic outcomes and increasing survival p...
Image Processing, Computer-Assisted Algorithms Humans Thermography Early Detection of Cancer Neural Networks, Computer Female Particle Swarm Optimization Infrared Rays Breast Neoplasms
View on PubMed DOI

A preprocessing method based on 3D U-Net for abdomen segmentation.

Computers in biology and medicine Jul 12, 2025
Deep learning methods have made significant progress in the field of biomedical automatic segmentation but still open to developments, especially due to the insufficient use of preprocessing methods. In this study, a pre-processing step is proposed b...
Humans Neural Networks, Computer Imaging, Three-Dimensional Algorithms Image Processing, Computer-Assisted Databases, Factual Abdomen Deep Learning
View on PubMed DOI
Popular Topics
Recent Journals