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AI in the operating room: Reports of botched surgeries, misidentified body parts rise

In 2021, a unit of healthcare giant Johnson & Johnson announced “a leap forward”: It had added artificial intelligence to a ...

Fentanyl or phony? Machine learning algorithm learns to pick out opioid signatures

New forms of fentanyl are created every day. For law enforcement, that poses a challenge: How do you identify a chemical you've never seen before? Researchers at Lawrence Livermore National Laboratory ...

AI Patent Eligibility Has Shifted With One Machine-Learning Case

Opinion: A patent case involving inventor Guillaume Desjardins has evolved into a cornerstone of modern patent eligibility ...
The Lancet

Machine learning prediction of 1-year mortality in older patients with heart failure: a nationwide, multicenter, prospective cohort study

A machine learning model incorporating functional assessments predicts one-year mortality in older patients with HF and improves risk stratification beyond established scores. Functional status at ...
VRM Intel

Greatest On-line casino Percentage Procedures live slot slot machine Inside the-breadth Courses 2025

Chris Taylor heads up marketing for the GIS Group of Sharp NEC Display Solutions of America, which is the creator of GuestView Guide, a wall-mounted digital concierge for vacation rental managers that ...
IEEE

A Weakly Supervised Machine Learning Procedure for Acoustic Emission Quench Diagnostics

Abstract: Voltage taps remain the standard and reliable diagnostic tool for detecting quenches in superconducting magnets. However, they identify a quench only at the time of voltage rise and do not ...
Frontiers

ML-based validation of experimental randomization in learning games

1 Department of Computer Science, College of Informatics, National Chengchi University, Taipei, Taiwan 2 College of Education, National Chengchi University, Taipei, Taiwan Randomization is a standard ...
UroToday

Demystifying machine learning in endourology - understanding models, applications, and clinical impact: a review from EAU endourology.

Machine learning algorithms are occupying a larger space in medical and urology applications. However, typical medical physicians are not trained on these technologies and do not master the ...
Frontiers

Characterization and feature selection of volatile metabolites in Yangxian pigmented rice varieties through GC-MS and machine learning algorithms

Introduction: Pigmented rice is fascinated by consumers for its abundant phytochemicals and unique aroma. Methods: In this study, GC–MS-based metabolomics of Yangxian colored rice varieties were ...
GitHub

Fortran Statistics and Machine Learning

FSML (Fortran Statistics and Machine Learning) is a scientific toolkit consisting of common statistical and machine learning procedures, including basic statistics (e.g., mean, variance, correlation), ...
GitHub

machine tool installation procedure.md

TC 9 524 Chapter 1 INTRODUCTION TO THE MACHINE SHOP GENERAL INFORMATION FORMS,RECORDS,AND REPORTS Accurate records are valuable.Unit officers are responsibleVirtual Machine Servicing Tool (VMST) 3.0 · ...