AI Medical Compendium Topic

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Patient Care

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The impact of machine learning on patient care: A systematic review.

Artificial intelligence in medicine
BACKGROUND: Despite the expanding use of machine learning (ML) in fields such as finance and marketing, its application in the daily practice of clinical medicine is almost non-existent. In this systematic review, we describe the various areas within...

Artificial Intelligence Pertaining to Cardiothoracic Imaging and Patient Care: Beyond Image Interpretation.

Journal of thoracic imaging
Artificial intelligence (AI) is a broad field of computational science that includes many subsets. Today the most widely used subset in medical imaging is machine learning (ML). Many articles have focused on the use of ML for pattern recognition to d...

Character-Level Neural Language Modelling in the Clinical Domain.

Studies in health technology and informatics
Word embeddings have become the predominant representation scheme on a token-level for various clinical natural language processing (NLP) tasks. More recently, character-level neural language models, exploiting recurrent neural networks, have again r...

Enhancing Quality of Patients Care and Improving Patient Experience in China with Assistance of Artificial Intelligence.

Chinese medical sciences journal = Chung-kuo i hsueh k'o hsueh tsa chih
Improving health of Chinese people has become national strategy according to the . Patient experience evaluation examines health care service from perspective of patients; it is important for improving health care quality. Applying artificial intelli...

DDxNet: a deep learning model for automatic interpretation of electronic health records, electrocardiograms and electroencephalograms.

Scientific reports
Effective patient care mandates rapid, yet accurate, diagnosis. With the abundance of non-invasive diagnostic measurements and electronic health records (EHR), manual interpretation for differential diagnosis has become time-consuming and challenging...

Technology Can Augment, but Not Replace, Critical Human Skills Needed for Patient Care.

Academic medicine : journal of the Association of American Medical Colleges
The practice of medicine is changing rapidly as a consequence of electronic health record adoption, new technologies for patient care, disruptive innovations that breakdown professional hierarchies, and evolving societal norms. Collectively, these ha...

Assessment of the Acceptability and Feasibility of Using Mobile Robotic Systems for Patient Evaluation.

JAMA network open
IMPORTANCE: Before the widespread implementation of robotic systems to provide patient care during the COVID-19 pandemic occurs, it is important to understand the acceptability of these systems among patients and the economic consequences associated ...

Evaluation of artificial intelligence clinical applications: Detailed case analyses show value of healthcare ethics approach in identifying patient care issues.

Bioethics
This paper is one of the first to analyse the ethical implications of specific healthcare artificial intelligence (AI) applications, and the first to provide a detailed analysis of AI-based systems for clinical decision support. AI is increasingly be...