Artificial Intelligence, Machine Learning, and Deep Learning in Real-Life Drug Design Cases.
Sign Up to like & getrecommendations! Published in 2022 at "Methods in molecular biology"
DOI: 10.1007/978-1-0716-1787-8_16
Abstract: The discovery and development of drugs is a long and expensive process with a high attrition rate. Computational drug discovery contributes to ligand discovery and optimization, by using models that describe the properties of ligands… read more here.
Keywords: drug; discovery; intelligence machine; artificial intelligence ... See more keywords
Applications of artificial intelligence and machine learning for the hip and knee surgeon: current state and implications for the future
Sign Up to like & getrecommendations! Published in 2022 at "International Orthopaedics"
DOI: 10.1007/s00264-022-05346-9
Abstract: Artificial Intelligence (AI)/Machine Learning (ML) applications have been proven efficient to improve diagnosis, to stratify risk, and to predict outcomes in many respective medical specialties, including in orthopaedics. Regarding hip and knee reconstruction surgery, AI/ML… read more here.
Keywords: hip; intelligence machine; machine learning; artificial intelligence ... See more keywords
Myths and facts about artificial intelligence: why machine- and deep-learning will not replace interventional radiologists
Sign Up to like & getrecommendations! Published in 2020 at "Medical Oncology"
DOI: 10.1007/s12032-020-01368-8
Abstract: Artificial intelligence (AI) is revolutionizing healthcare and transforming the clinical practice of physicians across the world. Radiology has a strong affinity for machine learning and is at the forefront of the paradigm shift, as machines… read more here.
Keywords: intelligence; facts artificial; intelligence machine; myths facts ... See more keywords
Artificial Intelligence and Machine Learning in Emergency Medicine
Sign Up to like & getrecommendations! Published in 2021 at "Biocybernetics and Biomedical Engineering"
DOI: 10.1016/j.bbe.2020.12.002
Abstract: Abstract The advent of Artificial Intelligence (AI) has resulted in development of novel applications in a multitude of fields, such as in Medicine, to aid medical professionals in clinical diagnosis. Specifically, the field of Emergency… read more here.
Keywords: medicine; emergency medicine; emergency; intelligence machine ... See more keywords
Subsurface analytics: Contribution of artificial intelligence and machine learning to reservoir engineering, reservoir modeling, and reservoir management
Sign Up to like & getrecommendations! Published in 2020 at "Petroleum Exploration and Development"
DOI: 10.1016/s1876-3804(20)60041-6
Abstract: Received date: 18 Feb. 2020; Revised date: 31 Mar. 2020. * Corresponding author. E-mail: [email protected] https://doi.org/10.1016/S1876-3804(20)60041-6 Copyright © 2020, Research Institute of Petroleum Exploration & Development, PetroChina. Publishing Services provided by Elsevier B.V. on behalf… read more here.
Keywords: contribution artificial; machine learning; subsurface analytics; intelligence machine ... See more keywords
Overview and Clinical Applications of Artificial Intelligence and Machine Learning in Cardiac Anesthesiology.
Sign Up to like & getrecommendations! Published in 2024 at "Journal of cardiothoracic and vascular anesthesia"
DOI: 10.1053/j.jvca.2024.02.004
Abstract: Artificial intelligence- (AI) and machine learning (ML)-based applications are becoming increasingly pervasive in the healthcare setting. This has in turn challenged clinicians, hospital administrators, and health policymakers to understand such technologies and develop frameworks for… read more here.
Keywords: artificial intelligence; intelligence machine; machine learning; anesthesiology ... See more keywords
When everything becomes intelligence: machine learning and the connected world
Sign Up to like & getrecommendations! Published in 2018 at "Intelligence and National Security"
DOI: 10.1080/02684527.2018.1452555
Abstract: Abstract By 2020, the number of IOT devices will surpass 20.1 billion, and these devices combined with user interactions will generate enormous data streams that will challenge analytic capabilities constrained by human faculties, legal, regulatory,… read more here.
Keywords: machine; becomes intelligence; machine learning; everything becomes ... See more keywords
A practical guide for nephrologist peer reviewers: evaluating artificial intelligence and machine learning research in nephrology
Sign Up to like & getrecommendations! Published in 2025 at "Renal Failure"
DOI: 10.1080/0886022x.2025.2513002
Abstract: Abstract Artificial intelligence (AI) and machine learning (ML) are transforming nephrology by enhancing diagnosis, risk prediction, and treatment optimization for conditions such as acute kidney injury (AKI) and chronic kidney disease (CKD). AI-driven models utilize… read more here.
Keywords: peer; artificial intelligence; intelligence machine; nephrologist peer ... See more keywords
Improving management of febrile neutropenia in oncology patients: the role of artificial intelligence and machine learning
Sign Up to like & getrecommendations! Published in 2024 at "Expert Review of Anti-infective Therapy"
DOI: 10.1080/14787210.2024.2322445
Abstract: ABSTRACT Introduction Artificial intelligence (AI) and machine learning (ML) have the potential to revolutionize the management of febrile neutropenia (FN) and drive progress toward personalized medicine. Areas covered In this review, we detail how the… read more here.
Keywords: oncology; febrile neutropenia; artificial intelligence; intelligence machine ... See more keywords
The significance of artificial intelligence and machine learning in contemporary chemical engineering curriculum
Sign Up to like & getrecommendations! Published in 2025 at "Cogent Education"
DOI: 10.1080/2331186x.2025.2560057
Abstract: Abstract This paper discusses how artificial intelligence and machine learning can be incorporated into the new curricula of chemical engineering education as part of the transformation facing the challenges of Industry 4.0. It describes the… read more here.
Keywords: artificial intelligence; intelligence machine; engineering; machine learning ... See more keywords
Artificial Intelligence and Machine Learning Algorithms For Informing the Diagnostic Process of Mild Cognitive Impairment and Dementia
Sign Up to like & getrecommendations! Published in 2019 at "Archives of Clinical Neuropsychology"
DOI: 10.1093/arclin/acz035.06
Abstract: Differentiating between a clinical diagnosis of Mild Cognitive Impairment (MCI) and dementia is difficult due to expansive data needs in concert with ambiguity of clinical criteria. Novel artificial intelligence (AI) and machine learning algorithms provide… read more here.
Keywords: machine learning; dementia; intelligence machine; artificial intelligence ... See more keywords