Abstract Background: Digital microscopy combined with artificial intelligence (AI) is increasingly being implemented in health care, predominantly in advanced laboratory…
Abstract AI-enhanced pathology evaluation systems hold significant potential to improve cancer diagnosis but frequently exhibit biases against underrepresented populations due…
Abstract Goal: To investigate whether machine learning analyses of smartphone sensor data can discriminate whether a subject consumed alcohol or…
Abstract Background: Cancer is one of the leading causes of disease burden globally, and early and accurate diagnosis is crucial…
Abstract Background: The escalating mental health crisis during and post-COVID-19 underscores the urgent need for scalable, timely, cost-effective assessment solutions…
Abstract Prognostic markers such as overall survival (OS) and tertiary lymphoid structure (TLS) ratios, alongside diagnostic signatures like primary cancer-type…
Abstract The increasing availability of diverse experimental and computational data has accelerated the application of deep learning (DL) techniques for…
Abstract Regulatory T cells (Tregs) have multiple roles in the tumor microenvironment (TME), which maintain a balance between autoimmunity and…
Abstract Accurate prediction of stroke risk at an early stage is essential for timely intervention and prevention, especially given the…
Abstract This narrative review introduces key concepts in artificial intelligence (AI), data science, and wearable devices aimed at headache clinicians…