AI Medical Compendium Topic

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Physicians

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Artificial intelligence in sleep medicine: background and implications for clinicians.

Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine
Polysomnography remains the cornerstone of objective testing in sleep medicine and results in massive amounts of electrophysiological data, which is well-suited for analysis with artificial intelligence (AI)-based tools. Combined with other sources o...

Physician understanding, explainability, and trust in a hypothetical machine learning risk calculator.

Journal of the American Medical Informatics Association : JAMIA
OBJECTIVE: Implementation of machine learning (ML) may be limited by patients' right to "meaningful information about the logic involved" when ML influences healthcare decisions. Given the complexity of healthcare decisions, it is likely that ML outp...

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...

[Visual diagnosis : between medical education and advances in artificial intelligence].

Revue medicale suisse
The electrocardiogram, chest x-ray, and skin lesion interpretation are a diagnostic process that applies image analysis. Knowledge and sufficient clinical experience are necessary to achieve expertise in these fields. However, recent advances in medi...

Rise of medical AI poses new legal risks for doctors.

CMAJ : Canadian Medical Association journal = journal de l'Association medicale canadienne

[Only artificial intelligence can heal us? : Artificial intelligence in medicine as deus ex machina, grands recits nouveaux or supertool?].

Der Urologe. Ausg. A
BACKGROUND: Modern medicine is becoming digital medicine. This is accompanied by a fundamental change in medicine and its professions and an altered relationship between the actors in the healthcare system. In particular, patients become the vital ce...

Artificial Intelligence and Deep Learning: The Future of Medicine and Medical Practice.

The Journal of the Association of Physicians of India
Artificial Intelligence (AI) and access to "Big Data" together with the evolving techniques in biotechnology will change the medical practice a big way. Many diseases such as type II diabetes will no longer be considered as a single disease. Many fam...

Using Machine Learning to Assess Physician Competence: A Systematic Review.

Academic medicine : journal of the Association of American Medical Colleges
PURPOSE: To identify the different machine learning (ML) techniques that have been applied to automate physician competence assessment and evaluate how these techniques can be used to assess different competence domains in several medical specialties...