New study highlights potential challenges for using automated AI tools in health care

In experiments in which physicians made decisions about treating hypothetical patients, the physicians tended to trust ...
AlphaGalileo

Superior F1-score: I/O Feature Driven Algorithms for Stream Computing Systems Workload Identification

Stream computing systems are critical platforms for real-time processing and analysis of data streams, widely applied in ...
The Lancet

Development and validation of a generalisable machine learning algorithm for identifying interstitial lung disease cohorts: a retrospective cohort study

aDepartment of Medicine, University of California San Francisco, San Francisco, CA, USA bDepartment of Medicine, University of California Los Angeles, Los Angeles, CA, USA cDepartment of Medicine, ...
IEEE

Lung Cancer Screening Classification by Sequential Multi-Instance Learning (SMILE) Framework With Multiple CT Scans

Abstract: Lung cancer screening with computed tomography (CT) scans can effectively improve the survival rate through the early detection of lung cancer, which typically identified in the form of ...
IEEE

An Extensive Analysis of Pattern Identification and Categorization

Abstract: Pattern recognition and classification standards are important for data interpretation and decision-making processes in many fields. This article provides a comprehensive review of these two ...
JD Supra

Collusion by Code: What DOJ’s Algorithmic Pricing Enforcement Means for the Energy Sector

INTRODUCTION - On May 14, 2026, Acting Deputy Assistant Attorney General for Criminal Enforcement Daniel Glad delivered remarks ...