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Physician-Patient Relations

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Application of Generative Artificial Intelligence for Physician and Patient Oncology Letters-AI-OncLetters.

JCO clinical cancer informatics
PURPOSE: Although large language models (LLMs) are increasingly used in clinical practice, formal assessments of their quality, accuracy, and effectiveness in medical oncology remain limited. We aimed to evaluate the ability of ChatGPT, an LLM, to ge...

The Evolution of Patient Empowerment and Its Impact on Health Care's Future.

Journal of medical Internet research
In the 21st century, health care has been going through a paradigm shift called digital health. Due to major advances and breakthroughs in information technologies, most recently artificial intelligence, the patriarchy of the doctor-patient relations...

Development of a GPT-4-Powered Virtual Simulated Patient and Communication Training Platform for Medical Students to Practice Discussing Abnormal Mammogram Results With Patients: Multiphase Study.

JMIR formative research
BACKGROUND: Standardized patients (SPs) prepare medical students for difficult conversations with patients. Despite their value, SP-based simulation training is constrained by available resources and competing clinical demands. Researchers are turnin...

Enhancing Physician-Patient Communication in Oncology Using GPT-4 Through Simplified Radiology Reports: Multicenter Quantitative Study.

Journal of medical Internet research
BACKGROUND: Effective physician-patient communication is essential in clinical practice, especially in oncology, where radiology reports play a crucial role. These reports are often filled with technical jargon, making them challenging for patients t...

Artificial Intelligence in the Service of Medicine: Current Solutions and Future Perspectives, Opportunities, and Challenges.

La Clinica terapeutica
OBJECTIVE: This article aims to identify the opportunities and risks of Artificial Intelligence tools (AIT) applied to clinical practice, while also reflecting on their impact on the doctor-patient relationship.

Legal Implication in Utilizing Automated Robots: A Written Informed Consent Form Proposal.

The international journal of medical robotics + computer assisted surgery : MRCAS
BACKGROUND: Robotic systems enhance physicians' capabilities by replicating hand movements in real-time, ensuring precise control and a quick return to conventional procedures if patient safety is compromised. Physicians performing robot-assisted pro...

The AI Efficiency Paradox: Reclaiming Quality Patient Care in an Era of Optimization.

Journal of medical systems
We examine how artificial intelligence (AI) integration in healthcare may create an "efficiency paradox" where technologies designed to reduce workload can instead generate new layers of inefficiency. We argue that AI implementation strategies priori...

Conception of an Intelligent Chatbot for Creation of an African Virtual Patient.

Studies in health technology and informatics
Medical and paramedical training is still a major issue in Africa, given the growing needs that contrast with the shortage of teachers, hospitals and educational facilities. The aim of the present work is to design an artificial intelligence that ena...

Understanding Public Judgements on Artificial Intelligence in Healthcare: Dialogue Group Findings From Australia.

Health expectations : an international journal of public participation in health care and health policy
INTRODUCTION: There is a rapidly increasing number of applications of healthcare artificial intelligence (HCAI). Alongside this, a new field of research is investigating public support for HCAI. We conducted a study to identify the conditions on Aust...

Artificial Intelligence in Medical Care - Patients' Perceptions on Caregiving Relationships and Ethics: A Qualitative Study.

Health expectations : an international journal of public participation in health care and health policy
INTRODUCTION: Artificial intelligence (AI) offers several opportunities to enhance medical care, but practical application is limited. Consideration of patient needs is essential for the successful implementation of AI-based systems. Few studies have...