AIMC Topic: Machine Learning

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Development and validation of an improved volumetric breast density estimation model using the ResNet technique.

Biomedical physics & engineering express Jul 23, 2025
. Temporal changes in volumetric breast density (VBD) may serve as prognostic biomarkers for predicting the risk of future breast cancer development. However, accurately measuring VBD from archived x-ray mammograms remains challenging. In a previous ...
Reproducibility of Results Breast Density Aged Adult Image Processing, Computer-Assisted Breast Neoplasms Mammography Algorithms Humans Breast Female Middle Aged Deep Learning Machine Learning
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Recent advances in applying machine learning to proton radiotherapy.

Biomedical physics & engineering express Jul 23, 2025
.: In radiation oncology, precision and timeliness of both planning and treatment are paramount values of patient care. Machine learning has increasingly been applied to various aspects of photon radiotherapy to reduce manual error and improve the ef...
Radiotherapy Planning, Computer-Assisted Radiotherapy Dosage Proton Therapy Machine Learning Humans Neoplasms Neural Networks, Computer Radiation Oncology
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Materiality and practicality: a response to - are clinicians ethically obligated to disclose their use of medical machine learning systems to patients?

Journal of medical ethics Jul 23, 2025
In his recent paper Hatherley discusses four reasons given to support mandatory disclosure of the use of machine learning technologies in healthcare, and provides counters to each of these reasons. While I agree with Hatherley's conclusion that such ...
Humans Disclosure Machine Learning Physicians Moral Obligations
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Are clinicians ethically obligated to disclose their use of medical machine learning systems to patients?

Journal of medical ethics Jul 23, 2025
It is commonly accepted that clinicians are ethically obligated to disclose their use of medical machine learning systems to patients, and that failure to do so would amount to a moral fault for which clinicians ought to be held accountable. Call thi...
Physicians Social Responsibility Personal Autonomy Disclosure Machine Learning Moral Obligations Humans
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An autoencoder learning method for predicting breast cancer subtypes.

PloS one Jul 23, 2025
Heterogeneity of breast cancer poses several challenges for detection and treatment. With next-generation sequencing, we can now map the transcriptional profile of each patient's breast tissue, which has the potential for identifying and characterizi...
Biomarkers, Tumor Gene Expression Profiling Transcriptome Gene Expression Regulation, Neoplastic Autoencoder Machine Learning Female Breast Neoplasms Humans
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Advanced feature engineering in Acute:Chronic Workload Ratio (ACWR) calculation for injury forecasting in elite soccer.

PloS one Jul 23, 2025
Controlling training monotony and monitoring external workload using the Acute:Chronic Workload Ratio (ACWR) is a common practice among elite soccer teams to prevent non-contact injuries. However, recent research has questioned whether ACWR offers su...
Humans Workload Machine Learning Soccer Forecasting Athletic Injuries
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Federated fault diagnosis method for collaborative self-diagnosis and cross-robot peer diagnosis.

PloS one Jul 23, 2025
In multi-robot collaboration, individual failures can propagate to other robots due to the topological coupling between them. Existing fault diagnosis models are designed for single robots and fail to meet the practical requirements of multi-robot sc...
Humans Machine Learning Algorithms Models, Theoretical Robotics Cooperative Behavior
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Physically-constrained evapotranspiration models with machine learning parameterization outperform pure machine learning: Critical role of domain knowledge.

PloS one Jul 23, 2025
Physics-informed machine learning techniques have emerged to tackle challenges inherent in pure machine learning (ML) approaches. One such technique, the hybrid approach, has been introduced to estimate terrestrial evapotranspiration (ET), a crucial ...
Water Models, Theoretical Plant Transpiration Machine Learning Algorithms
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Machine learning approach effectively discriminates between Parkinson's disease and progressive supranuclear palsy: Multi-level indices of rs-fMRI.

Brain research bulletin Jul 22, 2025
AIM: Parkinson's disease (PD) and progressive supranuclear palsy (PSP) present similar clinical symptoms, but their treatment options and clinical prognosis differ significantly. Therefore, we aimed to discriminate between PD and PSP based on multi-l...
Prospective Studies Brain Female Humans Machine Learning Parkinson Disease Supranuclear Palsy, Progressive Middle Aged Support Vector Machine Aged Magnetic Resonance Imaging Male
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COVID-19 Vaccine Boosters in People With Multiple Sclerosis: Improved SARS-CoV-2 Cross-Variant Antibody Response and Prediction of Protection.

Neurology(R) neuroimmunology & neuroinflammation Jul 22, 2025
BACKGROUND AND OBJECTIVES: Although disease-modifying therapies (DMTs) may suppress coronavirus disease 2019 (COVID-19) vaccine responses in people with multiple sclerosis (pwMS), limited data are available on the cumulative effect of additional boos...
SARS-CoV-2 Adult Male Immunoglobulin G Female Spike Glycoprotein, Coronavirus Humans Antibodies, Neutralizing Machine Learning Multiple Sclerosis Middle Aged COVID-19 COVID-19 Vaccines Prospective Studies Antibodies, Viral
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