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 ...

Spectral AI Names Darcy Bajko Chief Commercial Officer to Lead Global Sales Launch of FDA-Cleared DeepView® System for Burn Indication

Spectral AI, Inc. (Nasdaq: MDAI) (“Spectral AI” or the “Company”) , an artificial intelligence (AI) company focused on medical diagnostics for faster and more accurate treatment decisions in wound ...
Becker's Hospital Review

CMS floats new Medicare payment category for AI diagnostic software: 6 notes

CMS floats Medicare payment for AI diagnostic software, proposing a new category to standardize reimbursement for algorithm-driven clinical tools.
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 ...
PsyPost on MSN

Artificial intelligence accurately charts sleep stages without intrusive brain sensors

Researchers have developed an artificial intelligence model capable of tracking a person’s sleep stages using only three ...

Anthropic’s Claude Fable 5 Is Back With New Usage Limits And Safeguards

Anthropic's Claude Fable 5 returns globally, but with 50% usage limits and a new classifier that may result in false ...
Healio

Five-grade imaging classification system may reduce primary periphyseal stress injury

A five-grade imaging classification system and diagnostic therapeutic algorithm may reduce the risk for primary periphyseal ...
IEEE

An Alternating Algorithm for Neural Collapse in Deep Classifier Neural Network with Arbitrary Number of Classes

Abstract: Neural collapse describes the optimal learned representation features and their corresponding optimal classifier that globally minimizes the training loss in deep classifier neural networks.
Scientific Research Publishing

Kuncheva, L.I. (2014) Combining Pattern Classifiers: Methods and Algorithms. Wiley.

ABSTRACT: This paper proposes a hybrid machine learning framework for early diabetes prediction tailored to Sierra Leone, where locally representative datasets are scarce. The framework integrates ...
Frontiers

Retraction: Corrigendum: A novel voting classifier for electric vehicles population at different locations using Al-Biruni earth radius optimization algorithm

The journal retracts the 17th January 2024 article cited above. Following publication, concerns were identified regarding the peer review process and content of this article. Following an ...