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 …
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 …
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 …
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 …
intelligence (AI) large language models (LLMs) to improve health care has become …
Foundation models for biomedical image segmentation: A survey
Recent advancements in biomedical image analysis have been significantly driven by the
Segment Anything Model (SAM). This transformative technology, originally developed for …
Segment Anything Model (SAM). This transformative technology, originally developed for …
Applications of distributed machine learning for the Internet-of-Things: A comprehensive survey
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) …
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
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 …
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 …
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 …