Citation: Arkoudis NA, Papadakos SP. Machine learning applications in healthcare clinical practice and research. World J Clin Cases 2025; 13(1): 99744 URL: https://www.wjgnet.com/2307-8960/full/v13/i1/99744.htm DOI: https://dx.doi.org/10.12998/wjcc.v13.i1.99744 INTRODUCTION...
Tackling prediction uncertainty in machine learning for healthcare This Perspective overviews the sources of prediction uncertainty in machine learning for applications in healthcare, and discusses how to implement suitable prediction-uncertainty metrics. ...
Machine learning (ML) and its applications in healthcare have gained a lot of attention. When enhanced computational power is combined with big data, there is an opportunity to use ML algorithms to improve health care. Supervised learning is the type of ML that can be implemented to predict ...
The above data gives a good overall picture of which kinds of executives and companies participated in this round of our machine learning in healthcare consensus research. We advise readers to hover over the different bar graph segments to learn more about each demographic element (specifically “j...
In the current market, we can already see global corporations implementing machine learning applications in healthcare. Here are five real-life examples of machine learning in healthcare: Microsoft Microsoft has been actively working on several projects that utilize machine learning in medicine. One of...
Interest in machine-learning applications within medicine has been growing, but few studies have progressed to deployment in patient care. We present a framework, context and ultimately guidelines for accelerating the translation of machine-learning-based interventions in health care. To be successful, ...
1.6 Common Machine Learning Applications in Healthcare 10 1.6.1 Multimodal Machine Learning for Data Fusion in Medical Imaging 11 1.6.2 Machine Learning in Patient Risk Stratification 11 1.6.3 Machine Learning in Telemedicine 11 1.6.4 AI (ML) Application in Sedate Revelation 12 1.6.5 Neuroscience...
machine learningArtificial intelligence has been successfully applied to numerous health care and non﹉ealth care‐related applications and its use in emergency medicine has been expanding. Among its advantages are its speed in decision making and the opportunity for rapid, actionable deduction from ...
Earlier this year, Apple hosted the Workshop on Machine Learning for Health. This two-day hybrid event brought together Apple and the academic research community and clinicians to discuss state-of-the-art machine learning (ML) research in health. ...
Machine Learning The right machine learning solutions can automate mundane tasks and free your human team members for more valuable and creative assignments. Machine learning can empower your customer service team with chatbot agents that handle time-consuming, repetitive requests and queries while ...