P&R Measurement

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AI-driven software is 96% accurate at diagnosing Parkinson's

Existing research indicates that the accuracy of a Parkinson's disease diagnosis hovers between 55% and 78% in the first five years of assessment. That's partly because Parkinson's sibling movement disorders share similarities,

Princeton Precision Health: An interdisciplinary, AI-driven approach to tackling big questions about health and disease

PPH researchers apply cutting-edge AI and computational models to massive datasets to develop a deep understanding of the factors that shape health and illness.

Deep-learning system uses smartphone camera for heart rate monitoring

A team of medical researchers and engineers at Google Research has developed a way to use the front-facing camera on a smartphone to monitor a patient's heart rate. The team has published a paper on the technology on the arXiv preprint server.

Bridging Security and Performance: Innovations in Privacy-Preserving Machine Learning

In this rapidly growing digital era, privacy-preserving machine learning (PPML) is revolutionizing data-driven applications by enabling organizations to harness vast datasets while ensuring user privacy.

3 Ways AI Is Changing PPC Reporting (With Examples To Streamline Your Reporting)

Discover how AI can eliminate data frustrations, uncover valuable insights, and simplify reporting for stakeholders. With examples you can apply.

Percepto leverages AI power to pilot remote inspections at Chevron

Percepto and Chevron have reached a six-month milestone to evaluate use of the drone company's AI-powered remote inspection capabilities. The project has demonstrated promising improvements in operational efficiency and advancing workforce safety.

How SurveySparrow's internal challenge is evolving into its next revenue engine

SurveySparrow's Chief Customer Officer Vipin Thomas shares how the tediousness of answering endless enterprise questionnaires inspired an AI tool that streamlines RFP responses—potentially becoming their next significant revenue stream.

Passive Brain-Computer Interfaces: Moving from Lab to Real-World Application

Passive Brain-Computer Interfaces (pBCIs) have shown significant advancements in recent years, indicating their readiness for practical, everyday