AIMC Topic: Palliative Care
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AI-Generated Content in Cancer Symptom Management: A Comparative Analysis Between ChatGPT and NCCN.
Journal of pain and symptom management
Jun 26, 2024
BACKGROUND: Artificial intelligence-driven tools, like ChatGPT, are prevalent sources for online health information. Limited research has explored the congruity between AI-generated content and professional treatment guidelines. This study seeks to c...
Towards proactive palliative care in oncology: developing an explainable EHR-based machine learning model for mortality risk prediction.
BMC palliative care
May 20, 2024
BACKGROUND: Ex-ante identification of the last year in life facilitates a proactive palliative approach. Machine learning models trained on electronic health records (EHR) demonstrate promising performance in cancer prognostication. However, gaps in ...
Machine learning-based model to predict delirium in patients with advanced cancer treated with palliative care: a multicenter, patient-based registry cohort.
Scientific reports
May 20, 2024
This study aimed to present a new approach to predict to delirium admitted to the acute palliative care unit. To achieve this, this study employed machine learning model to predict delirium in patients in palliative care and identified the significan...
Consumer satisfaction, palliative care and artificial intelligence (AI).
BMJ supportive & palliative care
May 17, 2024
The scope of artificial intelligence (AI) in healthcare is promising, and AI has the potential to revolutionise the field of palliative care services also. Consumer satisfaction in palliative care is a critical aspect of providing high-quality end-of...
Ethics of artificial intelligence in supportive care in cancer.
The Medical journal of Australia
May 7, 2024
Looking Beyond Mortality Prediction: Primary Care Physician Views of Patients' Palliative Care Needs Predicted by a Machine Learning Tool.
Applied clinical informatics
Apr 18, 2024
OBJECTIVES: To assess primary care physicians' (PCPs) perception of the need for serious illness conversations (SIC) or other palliative care interventions in patients flagged by a machine learning tool for high 1-year mortality risk.
Use of Machine Learning to Optimize Referral for Early Palliative Care: Are Prognostic Predictions Enough?
Journal of clinical oncology : official journal of the American Society of Clinical Oncology
Mar 15, 2024
Machine Learning to Allocate Palliative Care Consultations During Cancer Treatment.
Journal of clinical oncology : official journal of the American Society of Clinical Oncology
Feb 15, 2024
PURPOSE: For patients with advanced cancer, early consultations with palliative care (PC) specialists reduce costs, improve quality of life, and prolong survival. However, capacity limitations prevent all patients from receiving PC shortly after diag...
Conversational Agents in Palliative Care: Potential Benefits, Risks, and Next Steps.
Journal of palliative medicine
Jan 12, 2024
Conversational agents (sometimes called chatbots) are technology-based systems that use artificial intelligence to simulate human-to-human conversations. Research on conversational agents in health care is nascent but growing, with recent reviews hig...
The PACIFIC ontology for heterogeneous data management in cardiology.
Journal of biomedical informatics
Dec 20, 2023
With the emergence of health data warehouses and major initiatives to collect and analyze multi-modal and multisource data, data organization becomes central. In the PACIFIC-PRESERVED (PhenomApping, ClassIFication, and Innovation for Cardiac Dysfunct...
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