A5093603719- Artificial Intelligence in Healthcare and Education
- Patient-Provider Communication in Healthcare
- Ethics in medical practice
- Ethics in Clinical Research
- Spinal Fractures and Fixation Techniques
- Patient Dignity and Privacy
- Empathy and Medical Education
- Biomedical Text Mining and Ontologies
- Medical Malpractice and Liability Issues
- Medical Imaging and Analysis
- Interpreting and Communication in Healthcare
- Pelvic and Acetabular Injuries
- Neuroethics, Human Enhancement, Biomedical Innovations
- Palliative Care and End-of-Life Issues
- Topic Modeling
- Machine Learning in Healthcare
Harvard University
2023-2025
Massachusetts General Hospital
2024-2025
Dana-Farber Cancer Institute
2024
The growing presence of large language models (LLMs) in health care applications holds significant promise for innovative advancements patient care. However, concerns about ethical implications and potential biases have been raised by various stakeholders. Here, we evaluate the ethics LLMs medicine along 2 key axes: empathy equity. We outline importance these factors novel develop frameworks addressing alongside LLM deployment.
<h3>ABSTRACT</h3> <h3>BACKGROUND AND PURPOSE:</h3> Imaging stewardship in the emergency department (ED) is vital ensuring patients receive optimized care. While suspected cord compression (CC) a frequent indication for total spine MRI ED, incidence of CC low. Recently, our level-I trauma center introduced survey protocol to evaluate while reducing exam time avoid imaging overutilization. This study aims savings, frequency ordering patterns survey, and symptoms outcomes undergoing survey....
This Viewpoint discusses the ethics of artificial intelligence–generated compassion in cancer care and outlines 4 main points concern.
Abstract Clinical ethics consultation services (CECS) can be particularly complex in oncology, and widespread misconceptions exist about their nature. As a result, visibility accessibility of information regarding CECS is critical. We investigated the availability content on websites NCI-designated comprehensive cancer centers (CCs). Each website was reviewed for benchmarks partially derived from American Society Bioethics Humanities recommendations CECS. Our analysis revealed that 70 center...
<sec> <title>UNSTRUCTURED</title> The growing presence of large language models (LLMs) in health care applications holds significant promise for innovative advancements patient care. However, concerns about ethical implications and potential biases have been raised by various stakeholders. Here, we evaluate the ethics LLMs medicine along 2 key axes: empathy equity. We outline importance these factors novel develop frameworks addressing alongside LLM deployment. </sec>