[Artificial intelligence and palliative care: opportunities and limitations.]

Area of Science:

• Palliative Care Medicine
• Medical Informatics
• Artificial Intelligence in Healthcare

Background:

• Palliative care aims to improve quality of life for patients with serious illnesses.
• Current decision-making processes can be improved with advanced technological support.
• Identifying patients at high risk for mortality or adverse outcomes is crucial.

Purpose of the Study:

• To explore the potential of artificial intelligence (AI) tools in palliative care.
• To assess AI's role in enhancing clinical decision-making and prognostic accuracy.
• To examine how AI can facilitate advance care planning and patient-centered treatment definition.

Main Methods:

• Application of machine learning and natural language processing in palliative care settings.
• Analysis of AI's impact on identifying patients needing early palliative care interventions.
• Evaluation of AI's role in supporting advance care planning discussions.

Main Results:

• AI tools show potential in improving prognostic abilities for high-risk patients.
• AI can support clinicians in decision-making and identifying patients at risk of poor outcomes.
• These tools can facilitate advance care planning and align treatments with patient desires.

Conclusions:

• AI offers significant potential to support palliative care clinicians.
• Careful consideration of organizational, ethical, and relational aspects is necessary for AI implementation.
• AI should augment, not replace, the fundamental patient-doctor relationship in communicating prognosis.