The fatal flaw in AI that no amount of data can fix | The Conversation

Twenty-five years of research into complex systems shows why artificial intelligence will always produce errors in healthcare ...

AI’s errors may be impossible to eliminate – what that means for its use in health care

In the past decade, AI’s success has led to uncurbed enthusiasm and bold claims – even though users frequently experience its ...
Scientific Research Publishing

Reddy, A. and Reddy, A. (2025) Migraine Triggers, Phases, and Classification Using Machine ...

ABSTRACT: Background: Sporadic hemiplegic migraine (SHM) is a rare and complex type of migraine that is characterized by temporary paralysis or weakness (hemiplegia) on one side of the body, which is ...
Journal of Medical Internet Research

Diabetic Foot Ulcer Classification Models Using Artificial Intelligence and Machine ...

No system was recommended for individual prognostication, and the group considered that more detail in ulcer characterization was needed and that machine learning (ML)–based models may be the solution ...
IEEE

Network Traffic Classification Using Machine Learning, Transformer, and Large Language Models

Abstract: This study uses various models to address network traffic classification, categorizing traffic into web, browsing, IPSec, backup, and email. We collected a comprehensive dataset from Arbor ...
Scientific Research Publishing

An Evaluation of Machine Learning Models for Threat Classification in IoT Devices ()

1 Center for Cyberspace Studies, Nasarawa State University, Keffi, Nigeria. 2 Department of Computer Engineering, Nile University of Nigeria, Abuja, Nigeria. 3 Department of Public and International ...
Frontiers

Efficient tree species classification using machine and deep learning algorithms based on ...

Introduction: The unmanned aerial vehicle -based light detection and ranging (UAV-LiDAR) can quickly acquire the three-dimensional information of large areas of vegetation, and has been widely used in ...