AI Medical Compendium Topic

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Physician-Patient Relations

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The Ethics of Medical AI and the Physician-Patient Relationship.

Cambridge quarterly of healthcare ethics : CQ : the international journal of healthcare ethics committees
This article considers recent ethical topics relating to medical AI. After a general discussion of recent medical AI innovations, and a more analytic look at related ethical issues such as data privacy, physician dependency on poorly understood AI he...

Detecting conversation topics in primary care office visits from transcripts of patient-provider interactions.

Journal of the American Medical Informatics Association : JAMIA
OBJECTIVE: Amid electronic health records, laboratory tests, and other technology, office-based patient and provider communication is still the heart of primary medical care. Patients typically present multiple complaints, requiring physicians to dec...

Healing Relationships.

The Hastings Center report
In a 2015 Hastings Center Report essay, Robert Truog and his coauthors argued that the clinical ethics portion of medical education should cast both a wider and a finer net than is sometimes realized. Many of the morally important moments in patient ...

Of Slide Rules and Stethoscopes: AI and the Future of Doctoring.

The Hastings Center report
Historically, the practice of medicine has been a physically intimate endeavor. Physicians have used their hands to palpate and reveal the secrets hidden within the body. Smelling the breath for the ketosis of diabetes or tasting the skin for the sal...

[Artificial intelligence: a benefit for patients?].

Soins; la revue de reference infirmiere
While artificial intelligence (AI) may have raised concerns, these questions are now making way for in-depth discussions on how to take advantage of its potential to ensure advances for patients. From this point of view, AI can constitute a real leve...

Automatically Charting Symptoms From Patient-Physician Conversations Using Machine Learning.

JAMA internal medicine
This study assesses the feasibility of using machine learning to automatically populate a review of systems of all symptoms discussed in an encounter between a patient and a clinician.

[Potential applications of deep learning-based technologies in Hungarian mammography].

Orvosi hetilap
INTRODUCTION AND AIM: The technology, named 'deep learning' is the promising result of the last two decades of development in computer science. It poses an unavoidable challenge for medicine, how to understand, apply and adopt the - today not fully e...