AIMC Topic: Health Personnel

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Perspective analysis of assistive robots for elderly in India.

Disability and rehabilitation. Assistive technology Mar 7, 2024
PURPOSE: Assistive technology for elderly are advancing, and this study aimed to analyse the Indian perspective on utilising assistive robot technology for aiding elderly individuals.
Health Personnel Female Humans Self-Help Devices Robotics Family Middle Aged Surveys and Questionnaires India Adult Age Factors Aged Male Aged, 80 and over
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A Survey of Clinicians' Views of the Utility of Large Language Models.

Applied clinical informatics Mar 5, 2024
OBJECTIVES:  Large language models (LLMs) like Generative pre-trained transformer (ChatGPT) are powerful algorithms that have been shown to produce human-like text from input data. Several potential clinical applications of this technology have been ...
Humans Health Personnel Artificial Intelligence Language Algorithms Health Facilities
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Using ChatGPT-Like Solutions to Bridge the Communication Gap Between Patients With Rheumatoid Arthritis and Health Care Professionals.

JMIR medical education Feb 27, 2024
The communication gap between patients and health care professionals has led to increased disputes and resource waste in the medical domain. The development of artificial intelligence and other technologies brings new possibilities to solve this prob...
Arthritis, Rheumatoid Methotrexate Health Personnel Communication Humans Artificial Intelligence
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Classification of posttransfusion adverse events using a publicly available artificial intelligence system.

Transfusion Feb 24, 2024
BACKGROUND: Correct classification of transfusion reactions is important not only for effective patient care and donor management but also for accurate tracking of events in hemovigilance systems. We compared the ability of a generative artificial in...
Humans Artificial Intelligence Health Facilities Algorithms Transfusion Reaction Health Personnel
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A multinational study on artificial intelligence adoption: Clinical implementers' perspectives.

International journal of medical informatics Feb 15, 2024
BACKGROUND: Despite substantial progress in AI research for healthcare, translating research achievements to AI systems in clinical settings is challenging and, in many cases, unsatisfactory. As a result, many AI investments have stalled at the proto...
Investments Humans Artificial Intelligence Data Management Health Facilities Health Personnel
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Ethics and artificial intelligence.

Revista clinica espanola Feb 12, 2024
The relationship between ethics and artificial intelligence in medicine is a crucial and complex topic that falls within its broader context. Ethics in medical artificial intelligence (AI) involves ensuring that technologies are safe, fair, and respe...
Medicine Health Personnel Health Facilities Artificial Intelligence Algorithms Humans
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SPeC: A Soft Prompt-Based Calibration on Performance Variability of Large Language Model in Clinical Notes Summarization.

Journal of biomedical informatics Feb 5, 2024
Electronic health records (EHRs) store an extensive array of patient information, encompassing medical histories, diagnoses, treatments, and test outcomes. These records are crucial for enabling healthcare providers to make well-informed decisions re...
Language Natural Language Processing Health Personnel Electronic Health Records Calibration Humans
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Large Language Models in Medicine: The Potentials and Pitfalls : A Narrative Review.

Annals of internal medicine Jan 30, 2024
Large language models (LLMs) are artificial intelligence models trained on vast text data to generate humanlike outputs. They have been applied to various tasks in health care, ranging from answering medical examination questions to generating clinic...
Medicine Health Personnel Humans Artificial Intelligence Language
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Health Care Professionals' Views on the Use of Passive Sensing, AI, and Machine Learning in Mental Health Care: Systematic Review With Meta-Synthesis.

JMIR mental health Jan 23, 2024
BACKGROUND: Mental health difficulties are highly prevalent worldwide. Passive sensing technologies and applied artificial intelligence (AI) methods can provide an innovative means of supporting the management of mental health problems and enhancing ...
Health Personnel Humans Mental Health Artificial Intelligence Machine Learning
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Developing an ontology of non-pharmacological treatment for emotional and mood disturbances in dementia.

Scientific reports Jan 22, 2024
Emotional and mood disturbances are common in people with dementia. Non-pharmacological interventions are beneficial for managing these disturbances. However, effectively applying these interventions, particularly in the person-centred approach, is a...
Humans Health Personnel Biological Ontologies Dementia Mood Disorders Emotions
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