In this paper, we examine to what extent the employment of machine learning technique contributes to better detection and prediction of corporate (i.e., firm-level) accounting fraud. The obtained ...

MASLD is prevalent in T2DM patients, with a 65% occurrence rate, and poses a higher risk for severe liver diseases. The study analyzed 3,836 T2DM patients, identifying key predictors like BMI, ...

USA: Machine learning applied to lung ultrasound images can accurately detect interstitial lung disease in patients with ...

An overview of attention detection using EEG signals, which includes six steps: an experimental paradigm design, in which the task and the stimuli are defined and presented to the subjects; EEG data ...

MAS is conducting a proof-of-value (POV) exercise to explore the use of AI and machine learning in pre-emptive scam detection ...

Sumsub has launched an upgrade to its deepfake detection product with instant online self-learning updates to address rapidly ...

Oxford University researchers have unveiled a new blood test, powered by machine learning, which shows real promise in detecting multiple types of cancer in their earliest stages, when the disease is ...

Ford engineers are studying whether AI can play a role in detecting faulty run-downs. To do that, they first had to determine ...