News and reflections from the world of AI

5 raisons d'utiliser l'IA dans les diagnostics cliniques

English, Español L'augmentation des taux de maladies telles que le cancer accroît le nombre d'échantillons, ce qui augmente la charge de travail des pathologistes, un groupe de professionnels de la santé déjà sous-représenté. Ce défi est exacerbé par le fait que les outils et processus cliniques traditionnels à la disposition des pathologistes sont manuels et subjectifs.

5 razones para utilizar la IA en el diagnóstico clínico

English, Français Las crecientes tasas de enfermedades como el cáncer aumentan el número de muestras, lo que supone una mayor carga para los patólogos, quienes ya son un grupo de profesionales sanitarios con escasa representación. El reto se ve agravado por el hecho de que las herramientas y los procesos clínicos tradicionales que están a la mano de los patólogos son manuales y subjetivos.

Overview of digital pathology in developing countries

Introduction Developing countries carry the greatest disease burden in the world yet resources for diagnostics and health care are limited and hard to access. This is particularly prominent within pathology, a field critical to all other healthcare workflows. There is a scarcity of pathologists worldwide and developing countries are particularly affected.

Automating the detection of malaria parasites in blood smear

Introduction Malaria is a life-threatening disease caused by Plasmodium parasites and transmitted through the bites of infected female Anopheles mosquitoes. There are five parasite species that cause malaria in humans of which P. falciparum and P. vivax pose the greatest threat, often progressing to severe illness, multi-organ failure, or death.

Interview with veterinary pathologist on AI-assisted screening of bone marrow cellularity changes

Bone marrow cellularity is the volume ratio of hematopoiesis (the body’s manufacturing of blood cells) and fat, and decreases with age. Many compounds can alter the cellularity of bone marrow making it a vital tissue for analysis by pathologists in pharmacologic safety studies. Quantitative data is vital for statistical evaluation in risk and toxicity assessments.

5 reasons to use AI in clinical diagnostics

Español, Français Rising rates of disease like cancer increase sample numbers creating a bigger burden on pathologists, an already underrepresented group of healthcare professionals. The challenge is exacerbated by the fact that traditional clinical tools and processes available to pathologists are manual and subjective.