AIMC Topic: Artificial Intelligence

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Deep Learning and Explainable Artificial Intelligence to Predict Patients' Choice of Hospital Levels in Urban and Rural Areas.

Studies in health technology and informatics
Maldistribution of healthcare resources among urban and rural areas is a significant challenge worldwide. People living in rural areas may have limited access to medical resources, and often neglect their health problems or receive insufficient care ...

Towards Automated Screening of Literature on Artificial Intelligence in Nursing.

Studies in health technology and informatics
We evaluate the performance of multiple text classification methods used to automate the screening of article abstracts in terms of their relevance to a topic of interest. The aim is to develop a system that can be first trained on a set of manually ...

Bibliometric Analysis of Chatbots in Health-Trend Shifts and Advancements in Artificial Intelligence for Personalized Conversational Agents.

Studies in health technology and informatics
Bibliometric analysis provides a summary for research reported in scientific literature. This can highlight pattens and trends in academic research areas, and assist in research directions. Recent growing requirements for efficient communications and...

Evaluation of Criteria2Query: Towards Augmented Intelligence for Cohort Identification.

Studies in health technology and informatics
Electronic healthcare records data promises to improve the efficiency of patient eligibility screening, which is an important factor in the success of clinical trials and observational studies. To bridge the sociotechnical gap in cohort identificatio...

Clinical Comparable Corpus Describing the Same Subjects with Different Expressions.

Studies in health technology and informatics
Medical artificial intelligence (AI) systems need to learn to recognize synonyms or paraphrases describing the same anatomy, disease, treatment, etc. to better understand real-world clinical documents. Existing linguistic resources focus on variants ...

Data-Sharing Gateway System Design for Large-Scale Medical Information Collection with Distributed EMR Storage.

Studies in health technology and informatics
The collection and use of large-scale medical information for developing artificial intelligence engines are actively ongoing. In Japan, collection systems have been built to collect data for medical image analysis and disease repositories. In the ex...

Artificial Intelligence and Machine Learning Technologies in Cancer Care: Addressing Disparities, Bias, and Data Diversity.

Cancer discovery
Artificial intelligence (AI) and machine learning (ML) technologies have not only tremendous potential to augment clinical decision-making and enhance quality care and precision medicine efforts, but also the potential to worsen existing health dispa...

Noise-mitigation strategies in physical feedforward neural networks.

Chaos (Woodbury, N.Y.)
Physical neural networks are promising candidates for next generation artificial intelligence hardware. In such architectures, neurons and connections are physically realized and do not leverage digital concepts with their practically infinite signal...