Background The twenty first century is often defined as the era of Artificial Intelligence (AI),
which raises many questions regarding its impact on society. It is already significantly …

As the amount and complexity of biomedical data continue to increase, machine learning
methods are becoming a popular tool in creating prediction models for the underlying …

Segmentation of breast ultrasound images is a crucial and challenging task in computer-
aided diagnosis systems. Accurately segmenting masses in benign and malignant cases …

Presenting a predictive model's performance is a communication bottleneck that threatens
collaborations between data scientists and subject matter experts. Accuracy and error …

Timely disease diagnosis is challenging due to increasing disease burdens and limited
clinician availability. AI shows promise in diagnosis accuracy but faces real-world …

The integration of Artificial Intelligence (AI) technologies into clinical practice holds
significant promise for revolutionizing healthcare. However, the realization of this potential …

The application of machine learning in precision oncology is an emerging field. To capture
the status quo, challenges, opportunities, ethical implications, and future directions, we …

Medicine and healthcare are crucial areas in the application of machine learning (ML) and
artificial intelligence (AI). While ML promises to revolutionize healthcare, it also raises …

With the meteoric rise of artificial intelligence over the last decade, it is playing an
increasingly important role in our societies. This technology can play a decisive role in the …

The prevalent exploratory-first approach to acquire insights through visual analysis hinges
on the unstructured and unguided exploration of data. As a result, visualization …