AI Medical Compendium Topic

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Physicians

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Ethical considerations for the use of artificial intelligence in medical decision-making capacity assessments.

Psychiatry research
The rapid advancement of artificial intelligence (AI) and machine learning are providing new tools to clinicians. AI tools have the potential to process vast amounts of data in a short amount of time, providing new insights and changing how we approa...

DEVO: an ontology to assist with dermoscopic feature standardization.

BMC medical informatics and decision making
BACKGROUND: The utilization of dermoscopic analysis is becoming increasingly critical for diagnosing skin diseases by physicians and even artificial intelligence. With the expansion of dermoscopy, its vocabulary has proliferated, but the rapid evolut...

Will artificial intelligence chatbots replace clinical pharmacologists? An exploratory study in clinical practice.

European journal of clinical pharmacology
PURPOSE: Recently, there has been a growing interest in using ChatGPT for various applications in Medicine. We evaluated the interest of OpenAI chatbot (GPT 4.0) for drug information activities at Toulouse Pharmacovigilance Center.

Opinion research among Russian Physicians on the application of technologies using artificial intelligence in the field of medicine and health care.

BMC health services research
BACKGROUND: To date, no opinion surveys has been conducted among Russian physicians to study their awareness about artificial intelligence. With a survey, we aimed to evaluate the attitudes of stakeholders to the usage of technologies employing AI in...

Large language models encode clinical knowledge.

Nature
Large language models (LLMs) have demonstrated impressive capabilities, but the bar for clinical applications is high. Attempts to assess the clinical knowledge of models typically rely on automated evaluations based on limited benchmarks. Here, to a...

Doctors Identify Hemorrhage Better during Chart Review when Assisted by Artificial Intelligence.

Applied clinical informatics
OBJECTIVES: This study evaluated if medical doctors could identify more hemorrhage events during chart review in a clinical setting when assisted by an artificial intelligence (AI) model and medical doctors' perception of using the AI model.

Advances in deep learning: From diagnosis to treatment.

Bioscience trends
Deep learning has brought about a revolution in the field of medical diagnosis and treatment. The use of deep learning in healthcare has grown exponentially in recent years, achieving physician-level accuracy in various diagnostic tasks and supportin...

Non-invasive localization of the ventricular excitation origin without patient-specific geometries using deep learning.

Artificial intelligence in medicine
Cardiovascular diseases account for 17 million deaths per year worldwide. Of these, 25% are categorized as sudden cardiac death, which can be related to ventricular tachycardia (VT). This type of arrhythmia can be caused by focal activation sources o...

Artificial Intelligence for Automatic Pain Assessment: Research Methods and Perspectives.

Pain research & management
Although proper pain evaluation is mandatory for establishing the appropriate therapy, self-reported pain level assessment has several limitations. Data-driven artificial intelligence (AI) methods can be employed for research on automatic pain assess...

New possibilities for medical support systems utilizing artificial intelligence (AI) and data platforms.

Bioscience trends
In Japan, there is a growing initiative to construct centralized databases and platforms that can aggregate and manage a vast range of medical, health, and caregiving data for research and analysis. Recent advancements in artificial intelligence (AI)...