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Artificial intelligence in CT and MR imaging for oncological applications
Simple Summary The two most common cross-sectional imaging modalities, computed
tomography (CT) and magnetic resonance imaging (MRI), have shown enormous utility in …
tomography (CT) and magnetic resonance imaging (MRI), have shown enormous utility in …
New regulatory thinking is needed for AI-based personalised drug and cell therapies in precision oncology
Until recently the application of artificial intelligence (AI) in precision oncology was confined
to activities in drug development and had limited impact on the personalisation of therapy …
to activities in drug development and had limited impact on the personalisation of therapy …
Risk management and patient safety in the artificial intelligence era: a systematic review
Background: Healthcare systems represent complex organizations within which multiple
factors (physical environment, human factor, technological devices, quality of care) …
factors (physical environment, human factor, technological devices, quality of care) …
The synergy of artificial intelligence and personalized medicine for the enhanced diagnosis, treatment, and prevention of disease
The synergy of artificial intelligence and personalized medicine for the enhanced diagnosis,
treatment, and prevention of disease Skip to content Should you have institutional access …
treatment, and prevention of disease Skip to content Should you have institutional access …
[HTML][HTML] Transformers for extracting breast cancer information from Spanish clinical narratives
The wide adoption of electronic health records (EHRs) offers immense potential as a source
of support for clinical research. However, previous studies focused on extracting only a …
of support for clinical research. However, previous studies focused on extracting only a …
[HTML][HTML] Advances and challenges in thyroid cancer: The interplay of genetic modulators, targeted therapies, and AI-driven approaches
Thyroid cancer continues to exhibit a rising incidence globally, predominantly affecting
women. Despite stable mortality rates, the unique characteristics of thyroid carcinoma …
women. Despite stable mortality rates, the unique characteristics of thyroid carcinoma …
Artificial Intelligence, Lymphoid Neoplasms, and Prediction of MYC, BCL2, and BCL6 Gene Expression Using a Pan-Cancer Panel in Diffuse Large B-Cell …
Background: Artificial intelligence in medicine is a field that is rapidly evolving. Machine
learning and deep learning are used to improve disease identification and diagnosis …
learning and deep learning are used to improve disease identification and diagnosis …
Accurate and fast deep learning dose prediction for a preclinical microbeam radiation therapy study using low-statistics Monte Carlo simulations
Simple Summary This work describes the development of a fast and accurate machine
learning (ML) 3D U-Net dose engine, trained with Monte Carlo (MC) radiation transport …
learning (ML) 3D U-Net dose engine, trained with Monte Carlo (MC) radiation transport …
Biomedical data analytics for better patient outcomes
Medical professionals today have access to immense amounts of data, which enables them
to make decisions that enhance patient care and treatment efficacy. This innovative strategy …
to make decisions that enhance patient care and treatment efficacy. This innovative strategy …
Empowering the SDM-RDFizer tool for scaling up to complex knowledge graph creation pipelines
The significant increase in data volume in recent years has prompted the adoption of
knowledge graphs as valuable data structures for integrating diverse data and metadata …
knowledge graphs as valuable data structures for integrating diverse data and metadata …