Patient and Caregiver Perceptions of an Interface Design to Communicate Artificial Intelligence–Based Prognosis for Patients With Advanced Solid Tumors Consecutive inpatients who underwent ...

Overview: Interpretability tools make machine learning models more transparent by displaying how each feature influences ...

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Overview Machine learning offers efficiency at scale, but trust depends on understanding how decisions are madeAs machine ...

Systematic mapping of gender disparities in oncology publications of north African countries: The GEORGiNA study. This is an ASCO Meeting Abstract from the ASCO Breakthrough: A Global Summit for ...

Howso, formerly known as Diveplane, the provider of accurate and explainable machine learning models, today announced that it is releasing the Howso Engine into open-source as an alternative to what ...

Explainable AI plays a central role in validating model behavior. Using established explainability techniques, the study examines which financial variables drive fraud predictions. The results show a ...

Explainable artificial intelligence startup Diveplane Corp. is hoping to make an impact by putting the “humanity” back into AI after closing on a new $25 million round of funding today. The Series A ...

Krishna, Satyapriya, Tessa Han, Alex Gu, Javin Pombra, Shahin Jabbari, Steven Wu, and Himabindu Lakkaraju. "The Disagreement Problem in Explainable Machine Learning ...

While machine learning and deep learning models often produce good classifications and predictions, they are almost never perfect. Models almost always have some percentage of false positive and false ...