Machine learning is broadly applicable to a huge range of tasks. As the name implies, deep learning is harnessed to solve problems at a deeper and more complex level.

Machine learning holds promise for optimizing treatment strategies and potentially improving outcomes in respiratory failure ...

Solving Beats Flashy Features in Financial Technology LOS ANGELES, CA / ACCESS Newswire / August 7, 2025 / As artificial ...

Deep learning, a subset of machine learning, refers to machine learning that takes place on artificial intelligence neural networks. Written by eWEEK content and product recommendations are ...

Data further showed that a machine learning model outperformed other metrics in terms of diagnostic accuracy (75%) compared with MMSE (55%), clinician analysis (49.5%) and modified TICS (45%).

A machine learning model bests traditional methods for predicting cirrhosis mortality among hospitalized patients.

For patients who received oxygenation that fell within the target range the machine learning model predicted to be beneficial for them, mortality could have decreased by 6.4% overall.

As machine learning is becoming more prominent, specific job roles and educational routes are emerging too. The focus of both disciplines, however, does remain distinct.