AIMC Topic: Health Personnel

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

AMIA ... Annual Symposium proceedings. AMIA Symposium Jan 1, 2024
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...
Health Personnel Learning Humans Knowledge Bases Quality Improvement Formative Feedback Feedback Learning Health System
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[An LLM for a friend.].

Recenti progressi in medicina Jan 1, 2024
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...
Physician-Patient Relations Artificial Intelligence Health Personnel Language Communication Humans
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Health Disinformation Use Case Highlighting the Urgent Need for Artificial Intelligence Vigilance: Weapons of Mass Disinformation.

JAMA internal medicine Jan 1, 2024
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...
Artificial Intelligence Health Personnel Humans Aged Aged, 80 and over Young Adult Pregnancy Female Knowledge Disinformation Wakefulness
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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 Dec 5, 2023
PURPOSE: To analyze the clinical completeness, correctness, usefulness, and safety of chatbot and medication database responses to everyday inpatient medication-use questions.
Pharmacists Artificial Intelligence Software Health Personnel Inpatients Humans
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Healthcare Leaders' Perceptions of the Usefulness of AI Applications in Clinical Work: A Qualitative Study.

Studies in health technology and informatics May 18, 2023
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...
Health Facilities Delivery of Health Care Qualitative Research Artificial Intelligence Health Personnel Humans
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ChatGPT: Chances and Challenges for Dentistry.

Compendium of continuing education in dentistry (Jamesburg, N.J. : 1995) Apr 1, 2023
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...
Reproducibility of Results Dentistry Software Humans Health Personnel Artificial Intelligence
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A systematic review of image-guided, surgical robot-assisted percutaneous puncture: Challenges and benefits.

Mathematical biosciences and engineering : MBE Mar 2, 2023
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...
Punctures Databases, Factual Operating Rooms Robotics Humans Health Personnel
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Artificial intelligence chatbots will revolutionize how cancer patients access information: ChatGPT represents a paradigm-shift.

JNCI cancer spectrum Mar 1, 2023
On November 30, 2022, OpenAI enabled public access to ChatGPT, a next-generation artificial intelligence with a highly sophisticated ability to write, solve coding issues, and answer questions. This communication draws attention to the prospect that ...
Health Personnel Communication Humans Neoplasms Artificial Intelligence Probability
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Healthcare provider evaluation of machine learning-directed care: reactions to deployment on a randomised controlled study.

BMJ health & care informatics Feb 1, 2023
OBJECTIVES: Clinical artificial intelligence and machine learning (ML) face barriers related to implementation and trust. There have been few prospective opportunities to evaluate these concerns. System for High Intensity EvaLuation During Radiothera...
Prospective Studies Surveys and Questionnaires Machine Learning Health Personnel Humans Artificial Intelligence
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Department of Medicine 2040: Implementing a Constrained Disorder Principle-Based Second-Generation Artificial Intelligence System for Improved Patient Outcomes in the Department of Internal Medicine.

Inquiry : a journal of medical care organization, provision and financing Jan 1, 2023
Internal medicine departments must adapt their structures and methods of operation to accommodate changing healthcare systems. The present paper discusses some challenges departments of medicine face as healthcare providers and consumers continue to ...
Medicine Delivery of Health Care Humans Health Personnel Physicians Artificial Intelligence
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