AIMC Topic: Publications
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Exploring a deep learning neural architecture for closed Literature-based discovery.
Journal of biomedical informatics
May 3, 2023
Scientific literature presents a wealth of information yet to be explored. As the number of researchers increase with each passing year and publications are released, this contributes to an era where specialized fields of research are becoming more p...
Artificial intelligence-The next frontier of scientific publications?
Australian occupational therapy journal
May 1, 2023
Semi-Automated Data Curation from Biomedical Literature.
AMIA ... Annual Symposium proceedings. AMIA Symposium
Apr 29, 2023
Data curation is a bottleneck for many informatics pipelines. A specific example of this is aggregating data from preclinical studies to identify novel genetic pathways for atherosclerosis in humans. This requires extracting data from published mouse...
[Artificial intelligence and scientific publications: Desirable, indispensable or to be banned?].
Bulletin du cancer
Apr 21, 2023
The Use of Facial Recognition Software and Published Manuscripts to Examine Trends in Surgical Editorial Board Diversity.
The Journal of surgical research
Feb 16, 2023
INTRODUCTION: Recent social justice movements have highlighted the need for improved diversity and inclusion. These movements have emphasized the need for inclusivity of all genders and races in all sectors including surgical editorial boards. There ...
Deception detection with machine learning: A systematic review and statistical analysis.
PloS one
Feb 9, 2023
Several studies applying Machine Learning to deception detection have been published in the last decade. A rich and complex set of settings, approaches, theories, and results is now available. Therefore, one may find it difficult to identify trends, ...
Entity and relation extraction from clinical case reports of COVID-19: a natural language processing approach.
BMC medical informatics and decision making
Jan 26, 2023
BACKGROUND: Extracting relevant information about infectious diseases is an essential task. However, a significant obstacle in supporting public health research is the lack of methods for effectively mining large amounts of health data.
Research Trends in Artificial Intelligence-Associated Nursing Activities Based on a Review of Academic Studies Published From 2001 to 2020.
Computers, informatics, nursing : CIN
Dec 1, 2022
The present study referred to the technology-based learning model to conduct a systematic review of the dimensions of nursing activities, research samples, research methods, roles of artificial intelligence, applied artificial intelligence algorithms...
Performance analysis of seven Convolutional Neural Networks (CNNs) with transfer learning for Invasive Ductal Carcinoma (IDC) grading in breast histopathological images.
Scientific reports
Nov 10, 2022
Computer-aided Invasive Ductal Carcinoma (IDC) grading classification systems based on deep learning have shown that deep learning may achieve reliable accuracy in IDC grade classification using histopathology images. However, there is a dearth of co...
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