AIMC Topic: Machine Learning

Clear Filters Showing 30871 to 30880 of 34417 articles

Harnessing Deep Learning for Omics in an Era of COVID-19.

Omics : a journal of integrative biology
Omics data are multidimensional, heterogeneous, and high throughput. Robust computational methods and machine learning (ML)-based models offer new prospects to accelerate the data-to-knowledge trajectory. Deep learning (DL) is a powerful subset of ML...

Interpretation and Use of Applied/Operational Machine Learning and Artificial Intelligence in Surgery.

The Surgical clinics of North America
Applications for artificial intelligence (AI) and machine learning in surgery include image interpretation, data summarization, automated narrative construction, trajectory and risk prediction, and operative navigation and robotics. The pace of devel...

Machine Learning and Artificial Intelligence in Surgical Research.

The Surgical clinics of North America
Machine learning, a subtype of artificial intelligence, is an emerging field of surgical research dedicated to predictive modeling. From its inception, machine learning has been of interest in medical and surgical research. Built on traditional resea...

Drug repurposing for viral cancers: A paradigm of machine learning, deep learning, and virtual screening-based approaches.

Journal of medical virology
Cancer management is major concern of health organizations and viral cancers account for approximately 15.4% of all known human cancers. Due to large number of patients, efficient treatments for viral cancers are needed. De novo drug discovery is tim...

Collaborative Privacy-preserving Approaches for Distributed Deep Learning Using Multi-Institutional Data.

Radiographics : a review publication of the Radiological Society of North America, Inc
Deep learning (DL) algorithms have shown remarkable potential in automating various tasks in medical imaging and radiologic reporting. However, models trained on low quantities of data or only using data from a single institution often are not genera...