AIMC Topic: Physician-Patient Relations

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Using large language model to guide patients to create efficient and comprehensive clinical care message.

Journal of the American Medical Informatics Association : JAMIA
OBJECTIVE: This study aims to investigate the feasibility of using Large Language Models (LLMs) to engage with patients at the time they are drafting a question to their healthcare providers, and generate pertinent follow-up questions that the patien...

Physician and Artificial Intelligence Chatbot Responses to Cancer Questions From Social Media.

JAMA oncology
IMPORTANCE: Artificial intelligence (AI) chatbots pose the opportunity to draft template responses to patient questions. However, the ability of chatbots to generate responses based on domain-specific knowledge of cancer remains to be tested.

Comparing the quality of ChatGPT- and physician-generated responses to patients' dermatology questions in the electronic medical record.

Clinical and experimental dermatology
BACKGROUND: ChatGPT is a free artificial intelligence (AI)-based natural language processing tool that generates complex responses to inputs from users.

[Shared decision-making in metaclinical medicine: from informed consent to shared probability].

Giornale italiano di cardiologia (2006)
At the dawn of "metaclinical medicine" era, shared decision-making represents the overcoming of modern medicine guidelines and classical medicine experience. The patient's life plan, the doctor's health plan, the scientist's evidence-based plan, the ...

A scoping review of empathy recognition in text using natural language processing.

Journal of the American Medical Informatics Association : JAMIA
OBJECTIVE: To provide a scoping review of studies on empathy recognition in text using natural language processing (NLP) that can inform an approach to identifying physician empathic communication over patient portal messages.

Toward Automated Detection of Biased Social Signals from the Content of Clinical Conversations.

AMIA ... Annual Symposium proceedings. AMIA Symposium
Implicit bias can impede patient-provider interactions and lead to inequities in care. Raising awareness is key to reducing such bias, but its manifestations in the social dynamics of patient-provider communication are difficult to detect. In this st...

[An LLM for a friend.].

Recenti progressi in medicina
The large language models (LLMs) represent a technology that has not yet seen widespread use. In addition to the automatic transcription of doctor-patient conversations, these tools will be able to support doctors in diagnosis and improve communicati...

What Complexity Science Predicts About the Potential of Artificial Intelligence/Machine Learning to Improve Primary Care.

Journal of the American Board of Family Medicine : JABFM
Primary care physicians are likely both excited and apprehensive at the prospects for artificial intelligence (AI) and machine learning (ML). Complexity science may provide insight into which AI/ML applications will most likely affect primary care in...