Glaucoma is characterised by progressive vision loss due to retinal ganglion cell deterioration, leading to gradual visual field (VF) impairment. The standard VF test may be impractical in some cases, ...

While ML models are powerful tools for predicting diabetes, their lack of interpretability presents a major challenge for clinical adoption. Healthcare professionals require AI models to not only be ...

Using a real-world, nationwide electronic health record–derived deidentified database of 38,048 patients with advanced NSCLC, we trained binary prediction algorithms to predict likelihood of 12-month ...

Ironically, AI, often criticized for exacerbating digital deception and misinformation, holds immense potential to improve ...

A new study by SRH University emphasizes the benefits of explainable AI systems for the reliable and transparent detection of ...

More information: Parastoo Semnani et al, A Machine Learning and Explainable AI Framework Tailored for Unbalanced Experimental Catalyst Discovery, The Journal of Physical Chemistry C (2024).

embedding ethics into its core and embracing curiosity-driven research to “explore the essence” of artificial general intelligence and to tackle hardest problems in machine learning.

By integrating innovative observability frameworks and automation, his approach enhances model reliability, scalability, and ...