The adoption of artificial intelligence (AI) algorithms is rapidly increasing in healthcare. Such
algorithms may be shaped by various factors such as social determinants of health that can …

Abstract Purpose of Review This review aims to evaluate the current psychiatric applications
and limitations of machine learning (ML), defined as techniques used to train algorithms to …

Medicine has evolved dramatically over the past century. There have been several
discoveries, from the invention of antibiotics to the identification of DNA, antipsychotics, and …

Considering sex as a biological variable in modern digital health solutions, we investigated
sex-specific differences in the trajectory of four physiological parameters across a COVID-19 …

Artificial Intelligence in Clinical Practice: How AI Technologies Impact Medical Research and
Clinics compiles current research on Artificial Intelligence within medical subspecialties …

Sex and gender biases can be entrenched in the life cycle of Artificial Intelligence (AI)
development, from data acquisition to technological design and deployment. AI systems that …

Clinical information, stored over time and increasingly linked to other types of information
such as environmental and social determinants of health and healthcare claims, is a …

Natural language processing (NLP) is increasingly applied to a broad range of sensitive
tasks, such as human resources, biomedicine, and healthcare. Accordingly, a growing body …

¿Salud para quién? Interseccionalidad y sesgos de la inteligencia artificial para el diagnóstico
clínico SciELO - Scientific Electronic Library Online vol.47 número2 Efectividad del cribado de …

Las tecnologías basadas en Inteligencia Artificial (IA) han experimentado en los últimos
años un crecimiento significativo en el ámbito de la sanidad, con la promesa de mejorar …