AIMC Topic: Research Personnel
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Intermediately synchronised brain states optimise trade-off between subject specificity and predictive capacity.
Communications biology
Jul 10, 2023
Functional connectivity (FC) refers to the statistical dependencies between activity of distinct brain areas. To study temporal fluctuations in FC within the duration of a functional magnetic resonance imaging (fMRI) scanning session, researchers hav...
Black-box assisted medical decisions: AI power vs. ethical physician care.
Medicine, health care, and philosophy
Jun 5, 2023
I raise an ethical problem with physicians using "black box" medical AI algorithms, arguing that its use would compromise proper patient care. Even if AI results are reliable, my contention is that without being able to explain medical decisions to p...
Federated vs Local vs Central Deep Learning of Tooth Segmentation on Panoramic Radiographs.
Journal of dentistry
May 18, 2023
OBJECTIVE: Federated Learning (FL) enables collaborative training of artificial intelligence (AI) models from multiple data sources without directly sharing data. Due to the large amount of sensitive data in dentistry, FL may be particularly relevant...
An Empirical Comparison of Explainable Artificial Intelligence Methods for Clinical Data: A Case Study on Traumatic Brain Injury.
AMIA ... Annual Symposium proceedings. AMIA Symposium
Apr 29, 2023
A longstanding challenge surrounding deep learning algorithms is unpacking and understanding how they make their decisions. Explainable Artificial Intelligence (XAI) offers methods to provide explanations of internal functions of algorithms and reaso...
Researchers turn to tiny robots to fight antibiotic resistance.
Proceedings of the National Academy of Sciences of the United States of America
Feb 9, 2023
Survey of Explainable AI Techniques in Healthcare.
Sensors (Basel, Switzerland)
Jan 5, 2023
Artificial intelligence (AI) with deep learning models has been widely applied in numerous domains, including medical imaging and healthcare tasks. In the medical field, any judgment or decision is fraught with risk. A doctor will carefully judge whe...
Malware Detection in Internet of Things (IoT) Devices Using Deep Learning.
Sensors (Basel, Switzerland)
Nov 29, 2022
Internet of Things (IoT) devices usage is increasing exponentially with the spread of the internet. With the increasing capacity of data on IoT devices, these devices are becoming venerable to malware attacks; therefore, malware detection becomes an ...
Scientometric Analysis of Artificial Intelligence (AI) for Geohazard Research.
Sensors (Basel, Switzerland)
Oct 14, 2022
Geohazard prevention and mitigation are highly complex and remain challenges for researchers and practitioners. Artificial intelligence (AI) has become an effective tool for addressing these challenges. Therefore, for decades, an increasing number of...
Leveraging Algorithms to Improve Decision-Making Workflows for Genomic Data Access and Management.
Biopreservation and biobanking
Jun 30, 2022
Studies on the ethics of automating clinical or research decision making using artificial intelligence and other algorithmic tools abound. Less attention has been paid, however, to the scope for, and ethics of, automating decision making within regul...
Researchers turn to deep learning to decode protein structures.
Proceedings of the National Academy of Sciences of the United States of America
Mar 2, 2022
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