A comprehensive review on federated learning based models for healthcare applications

S Sharma, K Guleria - Artificial Intelligence in Medicine, 2023 - Elsevier
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 …

Artificial Intelligence in Oncology: Current Landscape, Challenges, and Future Directions

W Lotter, MJ Hassett, N Schultz, KL Kehl, EM Van Allen… - Cancer Discovery, 2024 - AACR
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 …

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 …

Automated federated pipeline for parameter-efficient fine-tuning of large language models

Z Fang, Z Lin, Z Chen, X Chen, Y Gao… - arXiv preprint arXiv …, 2024 - arxiv.org
Recently, there has been a surge in the development of advanced intelligent generative
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 …

GPT-4 in a cancer center—institute-wide deployment challenges and lessons learned

R Umeton, A Kwok, R Maurya, D Leco, N Lenane… - NEJM AI, 2024 - ai.nejm.org
The enormous potential for generative pretrained transformers (GPTs) and other artificial
intelligence (AI) large language models (LLMs) to improve health care has become …

Foundation models for biomedical image segmentation: A survey

HH Lee, Y Gu, T Zhao, Y Xu, J Yang… - arXiv preprint arXiv …, 2024 - arxiv.org
Recent advancements in biomedical image analysis have been significantly driven by the
Segment Anything Model (SAM). This transformative technology, originally developed for …

Applications of distributed machine learning for the Internet-of-Things: A comprehensive survey

M Le, T Huynh-The, T Do-Duy, TH Vu… - arXiv preprint arXiv …, 2023 - arxiv.org
The emergence of new services and applications in emerging wireless networks (eg,
beyond 5G and 6G) has shown a growing demand for the usage of artificial intelligence (AI) …

Rethinking Client Drift in Federated Learning: A Logit Perspective

Y Yan, CM Feng, M Ye, W Zuo, P Li, RSM Goh… - arXiv preprint arXiv …, 2023 - arxiv.org
Federated Learning (FL) enables multiple clients to collaboratively learn in a distributed
way, allowing for privacy protection. However, the real-world non-IID data will lead to client …

医学人工智能标准体系: 历史与现状

郑欣雅, 黄运有, 张奕婷, 翁晟杰, 詹剑锋, 张知非 - 协和医学杂志, 2023 - xhyxzz.pumch.cn
当前医学人工智能标准化进程尚处于萌芽阶段, 难以满足医学人工智能产品在研发, 部署, 管控,
评估以及指导等多方面的需求. 这一方面导致人工智能产品的研发过程难以规范化 …