deep learningparameter tuningPhysical health plays an important role in overall well-being of the human beings. It is the most observed dimension of health among others such as social, intellectual, emotional,
editorial Ascent of machine learning in medicine Machine learning is swiftly infiltrating many areas within the healthcare industry, from diagnosis and prognosis to drug development and epidemiology, with significant potential to transform the medical landscape. The field of medicine has so far relied ...
We are Machine Learning in Medical Imaging and Diagnostics, an interdisciplinary Research Lab based in Dublin. We investigate novel machine learning concepts in the medical field.Our research is supported by funding from Enterprise Ireland (EI), Science Foundation Ireland (SFI), Health Research Board...
The broad application of artificial intelligence techniques in medicine is currently hindered by limited dataset availability for algorithm training and validation, due to the absence of standardized electronic medical records, and strict legal and ethical requirements to protect patient privacy. In medical...
16. Rajkomar A, Oren E, Chen K, et al. Scalable and accurate deep learning for electronic health records. arXiv. January 24, 2018 (http://arxiv.org/abs/1801.07860). 17. Escobar GJ, Turk BJ, Ragins A, et al. Piloting electronic medical record-based early detection of inpatient deterio...
In light of the recent normalization of the COVID-19, people have shown an increased concern on health. Recent developments in machine learning, wearable sensors and wireless communications have heightened the need for unobtrusive and lower power consumption health monitoring devices. The goal of this...
Applications for Machine Learning in Healthcare have rapidly increased in recent years. In particular, the analysis of images using machine learning and computer vision is one of the most important domains in the area. The idea that machines can outperfo
This framing emphasizes that machine learning is not just a new tool, such as a new drug or medical device. Rather, it is the fundamental technology required to meaningfully process data that exceed the capacity of the human brain to com- prehend; increasingly, this overwhelming store of ...
The special issue was planned in conjunction with the International Workshop on Machine Learning in Medical Imaging 2011 [1]. Being the first workshop on this topic, it has been successfully held together with the International Conference on Medical Image Computing and Computer-Assisted Intervention ...
A PubMed search with “machine learning” as the MeSH term shows that the number of papers published in the area of ML is largely increasing since the beginning of this decade (Fig. 1). On the other hand, the number of publications related to undergraduate and graduate medical education ...