Machine Learning In Health Care Journal

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A Comprehensive Review on Machine Learning in …

(4 days ago) WebIn healthcare, machine learning has the potential to revolutionize how we diagnose, treat, Khor W. Big data and machine learning algorithms for health-care …

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10180678/

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Shifting machine learning for healthcare from …

(Just Now) WebIn the past decade, the application of machine learning (ML) to healthcare has helped drive the automation of physician tasks as well as enhancements in clinical …

https://www.nature.com/articles/s41551-022-00898-y

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Artificial Intelligence in Medicine New England Journal of …

(Just Now) WebThe editors announce both a series of articles focusing on AI and machine learning in health care and the 2024 launch of a new journal, NEJM AI, a forum for …

https://www.nejm.org/doi/full/10.1056/NEJMe2206291

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Using machine learning for healthcare challenges and …

(7 days ago) WebMachine 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 …

https://www.sciencedirect.com/science/article/pii/S2352914822000739

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AI in health and medicine Nature Medicine

(Just Now) WebA comparison of deep learning performance against health-care professionals in detecting diseases from medical imaging: a systematic review and meta …

https://www.nature.com/articles/s41591-021-01614-0

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Machine learning in healthcare - Nature

(5 days ago) WebCollection on machine learning in healthcare from Nature Biomedical Engineering. About the journal; Publish with the development of AI for clinical care may improve patient and health

https://www.nature.com/collections/zbkpvddmhm

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Machine Learning in Medicine New England Journal of …

(1 days ago) WebMachine learning that drives search engines can help expose relevant information in a patient’s chart for a clinician without multiple clicks. Data entry of forms …

https://www.nejm.org/doi/full/10.1056/NEJMra1814259

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Machine learning in healthcare: review, opportunities and challenges

(4 days ago) WebMachine learning is the most important area to develop computational approaches automatically. In this chapter, we review the recent literature on applying …

https://www.sciencedirect.com/science/article/abs/pii/B9780128212295000112

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Cancers Free Full-Text Implementation of Artificial - MDPI

(1 days ago) WebArtificial Intelligence (AI) has revolutionized the management of non-small-cell lung cancer (NSCLC) by enhancing different aspects, including staging, prognosis …

https://www.mdpi.com/2072-6694/16/10/1832

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Developing machine learning models to predict multi-class …

(5 days ago) WebGlobally, stroke is the third-leading cause of mortality and disability combined, and one of the costliest diseases in society. More accurate predictions of stroke …

https://journals.plos.org/plosone/article?id=10.1371%2Fjournal.pone.0303287

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Artificial Intelligence (AI) and Machine Learning (ML) in Human …

(Just Now) WebAdvances in computing technology have led to the recent use of machine learning and artificial intelligence in AKI prediction, recent research reported that by …

https://www.mdpi.com/journal/healthcare/special_issues/AIML_Healthcare

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Information Free Full-Text Utilizing Machine Learning for …

(9 days ago) WebIdentifying stress in older adults is a crucial field of research in health and well-being. This allows us to take timely preventive measures that can help save lives. That is …

https://www.mdpi.com/2078-2489/15/5/274

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Machine learning applications in stroke medicine: advancements

(1 days ago) WebIn addition, integrating machine learning models into clinical workflows and establishing regulatory frameworks are critical for ensuring their widespread adoption and impact in …

https://pubmed.ncbi.nlm.nih.gov/37843210/

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Interpretable machine learning predicts postpartum hemorrhage …

(2 days ago) WebPostpartum hemorrhage (PPH) is the leading cause of maternal morbidity and mortality in the United States and globally. To preempt the sequelae of this obstetrical …

https://www.ajogmfm.org/article/S2589-9333(24)00081-8/fulltext

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Big Data and Machine Learning in Health Care - JAMA Network

(7 days ago) WebIt is no surprise then that medicine is awash with claims of revolution from the application of machine learning to big health care data. Recent examples have …

https://jamanetwork.com/journals/jama/fullarticle/2675024

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AI, Machine Learning, and Ethics in Health Care: Journal of Legal

(6 days ago) WebSubmit an article Journal homepage. 2,179 Views 20 CrossRef citations to date 0. Altmetric Articles. AI, Machine Learning, and Ethics in Health Care 35 …

https://www.tandfonline.com/doi/full/10.1080/01947648.2019.1690604

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Improving the quality of machine learning in health - Nature

(Just Now) WebMachine learning in healthcare (MLH) generally aims to predict some clinical outcome on the basis of multiple predictors. The potential of MLH is vast, with …

https://www.nature.com/articles/s42256-020-00239-1

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Implementing Machine Learning in Health Care — Addressing …

(Just Now) WebRevolutionizing Healthcare: Unleashing the Power of Machine Learning for Patient-Centric Solutions, Shodh Sari-An International Multidisciplinary Journal, 03, 02, …

https://www.nejm.org/doi/full/10.1056/NEJMp1714229

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BACK-to-MOVE: Machine learning and computer vision model …

(3 days ago) WebBackground Low back pain (LBP) is a major global disability contributor with profound health and socio-economic implications. The predominant form is non-specific …

https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0302899

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Machine learning in healthcare: review, opportunities and challenges

(Just Now) WebIn healthcare, machine learning derives its value due to the ability to process huge data sets beyond the scope of human capability, and then reliably convert analysis …

https://www.sciencedirect.com/science/article/pii/B9780128212295000112

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Two-step vibration-based machine learning model for the

(8 days ago) WebThe review conducted by Lei et al. 1 shows that there has been a sharp increase in the number of publications related to the application of machine learning …

https://journals.sagepub.com/doi/10.1177/14759217241249055

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Stratification of arrhythmic risk in patients admitted for acute

(4 days ago) WebAdvertisement intended for healthcare professionals. Journals. Books. Search Menu; Menu; European Heart Journal. Acute Cardiovascular Care, Volume 13, Issue …

https://academic.oup.com/ehjacc/article-abstract/13/Supplement_1/zuae036.145/7666425

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Prediction of heart failure patients with distinct left ventricular

(3 days ago) WebHeart failure (HF) encompasses a diverse clinical spectrum, including instances of transient HF or HF with recovered ejection fraction, alongside persistent cases. This …

https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0302639

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Potential of Large Language Models in Health Care: Delphi Study

(4 days ago) WebBackground: A large language model (LLM) is a machine learning model inferred from text data that captures subtle patterns of language use in context. Modern …

https://www.jmir.org/2024/1/e52399

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An AI revolution is brewing in medicine. What will it look like?

(Just Now) WebShe and her colleagues identified thousands of medical-imaging studies that compared the diagnostic performance of deep-learning models with that of health-care …

https://www.nature.com/articles/d41586-023-03302-0

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Increasing the performance of a hospital department with budget

(6 days ago) WebA significant amount of time is saved by using machine learning to predict the simulation model outcomes, which had previously taken a total of around 7 hours …

https://www.tandfonline.com/doi/full/10.1080/17477778.2024.2349160

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Reviewing CAM-Based Deep Explainable Methods in Healthcare

(1 days ago) WebThe use of artificial intelligence within the healthcare sector is consistently growing. However, the majority of deep learning-based AI systems are of a black box …

https://www.mdpi.com/2076-3417/14/10/4124

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Artificial intelligence–based assessment of built environment from

(1 days ago) WebEuropean Heart Journal, Volume 45, Issue 17, 1 May 2024, Pages 1540–1549, Machine learning model using raw convolutional neural …

https://academic.oup.com/eurheartj/article/45/17/1540/7635247

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How Helpful Are Mental-Health Chatbots? - WSJ - The Wall Street …

(Just Now) WebAdvances in AI technology are opening up new possibilities, researchers say, but chatbots are still no substitute for a human therapist.

https://www.wsj.com/health/wellness/ai-chatbots-mental-health-5184eca2

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Machine Learning Model Could Predict Hidradenitis Suppurativa …

(7 days ago) WebThe American Journal of Managed Care. The American Journal of Accountable Care and underdiagnosis lead to prolonged suffering and increased …

https://www.ajmc.com/view/machine-learning-model-could-predict-hidradenitis-suppurativa-diagnosis

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Advancements in robotic surgery: innovations, challenges and

(Just Now) WebThe use of robots has revolutionized healthcare, wherein further innovations have led to improved precision and accuracy. Conceived in the late 1960s, robot …

https://link.springer.com/article/10.1007/s11701-023-01801-w

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