AIMC Topic: Information Dissemination

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Boosting fine-tuning via Conditional Online Knowledge Transfer.

Neural networks : the official journal of the International Neural Network Society
Fine-tuning is an effective technique to enhance network performance in scenarios with limited labeled data. To achieve this, recent methods exploit the knowledge mined in the source model (e.g., feature maps) to construct an extra regularization sig...

Based on the multi-scale information sharing network of fine-grained attention for agricultural pest detection.

PloS one
It is of great significance to identify the pest species accurately and control it effectively to reduce the loss of agricultural products. The research results of this project will provide theoretical basis for preventing and controlling the spread ...

Sharing Data With Shared Benefits: Artificial Intelligence Perspective.

Journal of medical Internet research
Artificial intelligence (AI) and data sharing go hand in hand. In order to develop powerful AI models for medical and health applications, data need to be collected and brought together over multiple centers. However, due to various reasons, includin...

Artificial intelligence and medical research databases: ethical review by data access committees.

BMC medical ethics
BACKGROUND: It has been argued that ethics review committees-e.g., Research Ethics Committees, Institutional Review Boards, etc.- have weaknesses in reviewing big data and artificial intelligence research. For instance, they may, due to the novelty o...

A deep learning approach to private data sharing of medical images using conditional generative adversarial networks (GANs).

PloS one
Clinical data sharing can facilitate data-driven scientific research, allowing a broader range of questions to be addressed and thereby leading to greater understanding and innovation. However, sharing biomedical data can put sensitive personal infor...

AI Tackles Pandemics: ChatGPT's Game-Changing Impact on Infectious Disease Control.

Annals of biomedical engineering
Unleashing the power of artificial intelligence (AI), this letter delves into the potential applications of ChatGPT, a cutting-edge language model, in the management and control of infectious diseases. By examining ChatGPT's contributions to informat...

Privacy-preserving artificial intelligence in healthcare: Techniques and applications.

Computers in biology and medicine
There has been an increasing interest in translating artificial intelligence (AI) research into clinically-validated applications to improve the performance, capacity, and efficacy of healthcare services. Despite substantial research worldwide, very ...

Co-model for chemical toxicity prediction based on multi-task deep learning.

Molecular informatics
The toxicity of compounds is closely related to the effectiveness and safety of drug development, and accurately predicting the toxicity of compounds is one of the most challenging tasks in medicinal chemistry and pharmacology. In this paper, we cons...

Knowledge Sharing for Pulmonary Nodule Detection in Medical Cyber-Physical Systems.

IEEE journal of biomedical and health informatics
With the rapid development of edge intelligence (EI) and machine learning (ML), the applications of Cyber-Physical Systems (CPS) have been discovered in all aspects of the life world. As one of its most essential branches, Medical CPS (MCPS) determin...

Adversarial Knowledge Distillation Based Biomedical Factoid Question Answering.

IEEE/ACM transactions on computational biology and bioinformatics
Biomedical factoid question answering is an essential application for biomedical information sharing. Recently, neural network based approaches have shown remarkable performance for this task. However, due to the scarcity of annotated data which requ...