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Christopher R. Brigham
,
Steven Feinberg
, and
Waqas A. Buttar

Abstract

Independent medical evaluations (IMEs), impairment assessments, and providing clinical care mandate obtaining an appropriate history. The medical interview is a crucial component for obtaining an accurate and complete medical history for IMEs, which requires interpersonal and analytical skills. The interview is a purposeful conversation aimed at understanding the patient's experiences, with a focus on verbal and nonverbal cues, to help build a comprehensive understanding of the patient's injury and current problems within the context of their overall health. The extent of history that is documented depends on the purpose of the evaluation and the nature of the injury. The process involves documenting chief complaints, injury details, pre-existing conditions, clinical course, current symptoms, and functional and past medical history.

in AMA Guides® Newsletter
Christopher R. Brigham
,
Waqas A. Buttar
,
Mark Bucksbaum
, and
James B. Talmage

Abstract

Artificial intelligence (AI) is transforming healthcare and holds immense potential for the medicolegal field. It also presents significant challenges for these systems and their participants. This article overviews core AI concepts such as machine learning and large language models. It highlights current medical applications spanning clinical decision support, computer vision, robotics, and predictive analytics. AI can aid research, summarize documents, draft reports, and enhance quality and efficiency in a medicolegal practice. Limitations must be recognized and managed. Human expertise remains irreplaceable for nuanced analysis, and oversight is crucial. With thoughtful adoption, AI can augment medicolegal evaluations and enhance quality and efficiency. But human skills like critical thinking, judgment, and compassion must persist at the heart of this profoundly human profession.

in AMA Guides® Newsletter
Christopher R. Brigham
,
Waqas A. Buttar
,
Mark Bucksbaum
, and
James B. Talmage

Abstract

Artificial intelligence (AI) is transforming health care and holds immense potential for various fields, including the medical field, but it also brings its share of concerns and issues. This article introduces AI and its core concepts, such as deep learning, machine learning, and large language models (LLMs). It also provides examples that were generated using ChatGPT to highlight the use of prompts and the limitations of LLMs in AI. AI is a powerful paradigm for scientific research, and it can and does reduce work effort and enhance results. However, is it the right tool for the selected task? In addition, no matter how powerful, AI is meant to complement humans and does not replace them.

in AMA Guides® Newsletter