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The strong role of socioeconomic factors underscores the limits of purely spatial or technical solutions. While predictive models can identify where risk concentrates, addressing why it does so ...
Patient and Caregiver Perceptions of an Interface Design to Communicate Artificial Intelligence–Based Prognosis for Patients With Advanced Solid Tumors Consecutive inpatients who underwent ...
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 ...
Zehra Cataltepe is the CEO of TAZI.AI an adaptive, explainable Machine Learning platform. She has more than 100 papers and patents on ML. Do you need to determine if there is bias in your dataset ...
How AI, privacy-preserving computation, and explainable models quietly strengthen payments, protect data, and bridge traditional finance with crypto systems.
Overview: Clear problem definitions prevent wasted effort and keep machine learning work focused.Clean, well-understood data ...
A new academic study argues that fraud detection systems must evolve beyond accuracy-focused prediction tools into ...
According to a new study, machine learning can reliably identify patients at high risk of early dysphagia following acute ...
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