AIMC Topic: Health Personnel

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AI in imaging: the regulatory landscape.

The British journal of radiology
Artificial intelligence (AI) methods have been applied to medical imaging for several decades, but in the last few years, the number of publications and the number of AI-enabled medical devices coming on the market have significantly increased. While...

Artificial intelligence and allergic rhinitis: does ChatGPT increase or impair the knowledge?

Journal of public health (Oxford, England)
BACKGROUND: Optimal management of allergic rhinitis requires patient education with easy access to accurate information. However, previous online platforms have provided misleading information. The demand for online medical information continues to g...

Factors influencing clinician and patient interaction with machine learning-based risk prediction models: a systematic review.

The Lancet. Digital health
Machine learning (ML)-based risk prediction models hold the potential to support the health-care setting in several ways; however, use of such models is scarce. We aimed to review health-care professional (HCP) and patient perceptions of ML risk pred...

Modeling Precision Feedback Knowledge for Healthcare Professional Learning and Quality Improvement.

AMIA ... Annual Symposium proceedings. AMIA Symposium
Healthcare providers learn continuously, but better support for provider learning is needed as new biomedical knowledge is produced at an increasing rate alongside widespread use of EHR data for clinical performance measurement. Precision feedback is...

[An LLM for a friend.].

Recenti progressi in medicina
The large language models (LLMs) represent a technology that has not yet seen widespread use. In addition to the automatic transcription of doctor-patient conversations, these tools will be able to support doctors in diagnosis and improve communicati...

Health Disinformation Use Case Highlighting the Urgent Need for Artificial Intelligence Vigilance: Weapons of Mass Disinformation.

JAMA internal medicine
IMPORTANCE: Although artificial intelligence (AI) offers many promises across modern medicine, it may carry a significant risk for the mass generation of targeted health disinformation. This poses an urgent threat toward public health initiatives and...

Evaluation of inpatient medication guidance from an artificial intelligence chatbot.

American journal of health-system pharmacy : AJHP : official journal of the American Society of Health-System Pharmacists
PURPOSE: To analyze the clinical completeness, correctness, usefulness, and safety of chatbot and medication database responses to everyday inpatient medication-use questions.

Healthcare Leaders' Perceptions of the Usefulness of AI Applications in Clinical Work: A Qualitative Study.

Studies in health technology and informatics
Artificial intelligence (AI) is often presented as a technology that changes healthcare and is useful in clinical work in disease prediction, diagnosis, treatment effectiveness, and precision health. This study aimed to explore healthcare leaders' pe...

ChatGPT: Chances and Challenges for Dentistry.

Compendium of continuing education in dentistry (Jamesburg, N.J. : 1995)
The artificial intelligence (AI) chatbot ChatGPT has generated both huge interest and deep concern since its launch in November 2022.1 ChatGPT, a large language model (LLM) with a conversational interface, has been trained on vast amounts of human-ge...

A systematic review of image-guided, surgical robot-assisted percutaneous puncture: Challenges and benefits.

Mathematical biosciences and engineering : MBE
Percutaneous puncture is a common medical procedure that involves accessing an internal organ or tissue through the skin. Image guidance and surgical robots have been increasingly used to assist with percutaneous procedures, but the challenges and be...