Artificial intelligence-based triaging of cutaneous melanocytic lesions

Artificial intelligence-based triaging of cutaneous melanocytic lesions

Pathologists are facing an increasing workload due to a growing volume of cases and the need for more comprehensive diagnoses. Aiming to facilitate workload reduction and faster turnaround times, we developed an artificial intelligence (AI) model for triaging cutaneous melanocytic lesions based on whole slide images. The AI model was developed and validated using a retrospective cohort from the University Medical Center Utrecht, the Netherlands.…

AI tool accurately sorts cancer patients by their likely outcomes

A new artificial intelligence-based method accurately sorts cancer patients into groups that have similar characteristics before treatment and similar outcomes after treatment, according to a study led by investigators at Weill Cornell Medicine. The new approach has the potential to enable better patient selection in clinical trials and better treatment selection for individual patients.

AI Tool Accurately Sorts Cancer Patients by their Likely Outcomes

A new artificial intelligence-based method accurately sorts cancer patients into groups that have similar characteristics before treatment and similar outcomes after treatment, according to a study led by investigators at Weill Cornell Medicine.

An artificial intelligence called FaceAge claims to predict the life expectancy of people with cancer from a simple picture of their face. If the results question, this innovation also raises serious ethical questions.

Optimized Deep Learning Model Classifies Smartphone Images of Malignant Skin Lesions

Across various classes, the researchers identified a model that, when coupled with appropriate data augmentation and optimization partner, may help aid in the detection of skin cancer.