Machine learning (ML), a field stemming from artificial intelligence, is part of a wider approach for data analysis ... applications are all around us, gradually entering clinical research.

Significant breakthroughs in the capabilities of machine learning (ML) algorithms ... image analysis, including but not limited to technological developments and new clinical applications.

This review introduces the machine learning algorithms as applied to medical image analysis, focusing on convolutional neural networks, and emphasizing clinical aspects of the field. The advantage of ...

Furthermore, machine learning can accurately assess the conditions of patients. With the use of cutting-edge machine learning algorithms, clinical diagnosis, and clinical interventions, along with ...

Regression algorithms fall under the family of Supervised Machine Learning ... multivariate analysis helps decision makers to find the best combination of factors to increase footfalls in the store.

Panel A shows advances in data storage ... Role of AI and Machine Learning in Clinical Practice Pitfalls aside, there is much promise. If AI and machine-learning algorithms can be reduced to ...

Machine learning algorithms ... analysis allows businesses to better understand customer emotions and tailor their responses accordingly. Businesses can also use AI to analyze consumer data ...