Artificial intelligence (AI) and deep learning (DL) have shown tremendous potential in driving
sustainability across various sectors. This paper reviews recent advancements in AI and …

There have been many recently published studies exploring machine learning (ML) and
deep learning applications within neuroradiology. The improvement in performance of these …

… The ophthalmology field was among the first to adopt artificial intelligence (AI) in medicine.
The availability of digitized ocular images and substantial data have made deep learning (DL…

… This paper investigates different deep learning techniques using two case studies … deep
learning network design approaches, and (iii) provides an analysis of different deep learning …

… Machine learning is an important tool for extracting information from medical images. Deep
learning has … The rapid advance of deep learning technologies continues to result in valuable …

… Machine learning implies models and algorithms that learn from data rather than following
explicit rules. Deep learning (DL) is a form of ML that uses large and multilayered artificial …

… By exploiting the setting of validation studies for artificial intelligence (AI), we recently evaluated
the visual miss rate of human endoscopists for detecting expert-selected cases of upper …

… of artificial neural networks and deep learning techniques. To … of neural networks and deep
learning methods might be applied … deep learning modeling. Before the system can aid with …

… Under the umbrella of AI, a process called machine learning allows a program to learn
and … Deep learning refers to a powerful subset of machine learning techniques which uses …

… Artificial intelligence (AI)–powered ultrasound is becoming more … machine learning methods
to clinical applications becomes challenging. With their self-learning ability, deep-learning (…