Deep learning is a subdiscipline of artificial intelligence that uses a machine learning
technique called artificial neural networks to extract patterns and make predictions from …

Precision medicine is an emerging approach to clinical research and patient care that
focuses on understanding and treating disease by integrating multi-modal or multi-omics …

As a data-driven science, genomics largely utilizes machine learning to capture
dependencies in data and derive novel biological hypotheses. However, the ability to extract …

What has happened in machine learning lately, and what does it mean for the future of
medical image analysis? Machine learning has witnessed a tremendous amount of attention …

Abstract Recent advancements in Artificial Intelligence (AI) and Machine Learning (ML)
technology have brought on substantial strides in predicting and identifying health …

The development of high-throughput, data-intensive biomedical research assays and
technologies has created a need for researchers to develop strategies for analyzing …

Semantic segmentation of robotic instruments is an important problem for the robot-assisted
surgery. One of the main challenges is to correctly detect an instrument's position for the …

The ambition of precision medicine is to design and optimize the pathway for diagnosis,
therapeutic intervention, and prognosis by using large multidimensional biological datasets …

In the field of cancer genomics, the broad availability of genetic information offered by next-
generation sequencing technologies and rapid growth in biomedical publication has led to …

Artificial intelligence (AI)-based applications have found widespread applications in many
fields of science, technology, and medicine. The use of enhanced computing power of …