The State of AI: Chatbot companions and the future of our privacy

Welcome back to The State of AI, a new collaboration between the Financial Times and MIT Technology Review. Every Monday, writers from both publications debate one aspect of the generative AI revolution reshaping global power. In this week’s conversation MIT Technology Review’s senior reporter for features and investigations, Eileen Guo, and FT tech correspondent Melissa […]

Mobile Phone Addiction and Suicidal Behaviors in Adolescents: School-Based Cross-Sectional Study in Zhejiang Province, China

Background: Suicide is a critical public health issue in adolescents. Mobile phone addiction (MPA) is characterized by an impaired ability to use mobile phones appropriately, which may further induce addictive symptoms analogous to those of substance abuse disorders and exhibit a significant association with suicidal behaviors. However, the associations between MPA and suicidal behaviors have […]

Sex and age estimation from cardiac signals captured via radar using data augmentation and deep learning: a privacy concern

IntroductionElectrocardiograms (ECGs) have long served as the standard method for cardiac monitoring. While ECGs are highly accurate and widely validated, they require direct skin contact, are sensitive to motion artifacts, and are not always practical for continuous or unobtrusive monitoring, limiting their generalization to real-world, dynamic environments. However, radar-based technologies offer a novel, non-invasive alternative […]

Open LLM-based actionable incidental finding extraction from [18F]fluorodeoxyglucose PET-CT radiology reports

IntroductionWe developed an open, large language model (LLM)-based pipeline to extract actionable incidental findings (AIFs) from [18F]fluorodeoxyglucose positron emission tomography-computed tomography ([18F]FDG PET-CT) reports. This imaging modality often uncovers AIFs, which can affect a patient’s treatment. The pipeline classifies reports for the presence of AIFs, extracts the relevant sentences, and stores the results in structured […]

Subscribe for Updates

Copyright 2025 dijee Intelligence Ltd.   dijee Intelligence Ltd. is a private limited company registered in England and Wales at Media House, Sopers Road, Cuffley, Hertfordshire, EN6 4RY, UK registeration number 16808844