Diagnostic : A test that you can run to gain insight what is / isn't working with a learning algorithm, and gain guidance as to how best to improve its performance. Diagnostics can take time to implement, but doing so can be a very good use of your time....
A transformer-based representation-learning model with unified processing of multimodal input for clinical diagnostics A transformer-based representation-learning model that processes multimodal input in a unified manner outperformed non-unified multimodal models in two clinical diagnostic tasks. ...
Machine learning has made potential developments in biotechnology. Years of medical training are required for correct diagnosis of diseases. Diagnostics is often a very time-consuming process, and it requires strenuous effort. Data generated through varieties of imaging modalities for the diagnoses ...
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...
Machine learning for predicting acute myocardial infarction in patients with sepsis 24 December 2024 Main High-sensitivity cardiac troponin assays have enabled the adoption of accelerated diagnostic pathways for the assessment of patients with symptoms suggestive of acute myocardial infarction1,2,3,4,5,6...
Hybrid Model for Detection of Cervical Cancer Using Causal Analysis and Machine Learning Techniques 2022, Computational and Mathematical Methods in Medicine Artificial intelligence in disease diagnostics: A critical review and classification on the current state of research guiding future direction 2021, Heal...
Machine learning offers a principled approach for developing sophisticated, automatic, and objective algorithms for analysis of high-dimensional and multimodal biomedical data. This review focuses on several advances in the state of the art that have shown promise in improving detection, diagnosis, and ...
PhD in Machine Learning: Unlocking the Future of Medical Diagnostics Join our Dynamic Team in Sydney, Australia Introduction Are you a highly motivated individual with a passion for machine learning? We have an exciting PhD opportunity that combines your academic ambitions with the advancem...
One of the most intriguing questions is whether machine learning can be successfully applied to the field of medical diagnostics. Moreover, there is a question as to what kind of data are needed. Several examples of successful applications of machine learning methods in specialized medical fields ...
Machine learning promises to revolutionize clinical decision making and diagnosis. In medical diagnosis a doctor aims to explain a patient’s symptoms by determining the diseases causing them. However, existing machine learning approaches to diagnosis ar