A comprehensive review on federated learning based models for healthcare applications
A disease is an abnormal condition that negatively impacts the functioning of the human
body. Pathology determines the causes behind the disease and identifies its development …
body. Pathology determines the causes behind the disease and identifies its development …
A review of medical federated learning: Applications in oncology and cancer research
A Chowdhury, H Kassem, N Padoy, R Umeton… - International MICCAI …, 2021 - Springer
Abstract Machine learning has revolutionized every facet of human life, while also becoming
more accessible and ubiquitous. Its prevalence has had a powerful impact in healthcare …
more accessible and ubiquitous. Its prevalence has had a powerful impact in healthcare …
The brain tumor segmentation (BRATS) challenge 2023: Focus on pediatrics (CBTN-CONNECT-DIPGR-ASNR-MICCAI BraTS-PEDs)
Pediatric tumors of the central nervous system are the most common cause of cancer-related
death in children. The five-year survival rate for high-grade gliomas in children is less than …
death in children. The five-year survival rate for high-grade gliomas in children is less than …
[HTML][HTML] The brain tumor segmentation (brats) challenge 2023: glioma segmentation in sub-saharan Africa patient population (brats-africa)
Gliomas are the most common type of primary brain tumors. Although gliomas are relatively
rare, they are among the deadliest types of cancer, with a survival rate of less than 2 years …
rare, they are among the deadliest types of cancer, with a survival rate of less than 2 years …
Artificial Intelligence in Oncology: Current Landscape, Challenges, and Future Directions
Artificial intelligence (AI) in oncology is advancing beyond algorithm development to
integration into clinical practice. This review describes the current state of the field, with a …
integration into clinical practice. This review describes the current state of the field, with a …
Developing medical imaging AI for emerging infectious diseases
Advances in artificial intelligence (AI) and computer vision hold great promise for assisting
medical staff, optimizing healthcare workflow, and improving patient outcomes. The COVID …
medical staff, optimizing healthcare workflow, and improving patient outcomes. The COVID …
GaNDLF: the generally nuanced deep learning framework for scalable end-to-end clinical workflows
Deep Learning (DL) has the potential to optimize machine learning in both the scientific and
clinical communities. However, greater expertise is required to develop DL algorithms, and …
clinical communities. However, greater expertise is required to develop DL algorithms, and …
Current status and future directions: The application of artificial intelligence/machine learning for precision medicine
K Naik, RK Goyal, L Foschini, CW Chak… - Clinical …, 2024 - Wiley Online Library
Technological innovations, such as artificial intelligence (AI) and machine learning (ML),
have the potential to expedite the goal of precision medicine, especially when combined …
have the potential to expedite the goal of precision medicine, especially when combined …
Automated federated pipeline for parameter-efficient fine-tuning of large language models
Recently, there has been a surge in the development of advanced intelligent generative
content (AIGC), especially large language models (LLMs). However, for many downstream …
content (AIGC), especially large language models (LLMs). However, for many downstream …
Exploring huntington's disease diagnosis via artificial intelligence models: a comprehensive review
S Ganesh, T Chithambaram, NR Krishnan, DR Vincent… - Diagnostics, 2023 - mdpi.com
Huntington's Disease (HD) is a devastating neurodegenerative disorder characterized by
progressive motor dysfunction, cognitive impairment, and psychiatric symptoms. The early …
progressive motor dysfunction, cognitive impairment, and psychiatric symptoms. The early …