AIMC Topic: Artificial Intelligence

Clear Filters Showing 9241 to 9250 of 26332 articles

Current Strengths and Weaknesses of ChatGPT as a Resource for Radiation Oncology Patients and Providers.

International journal of radiation oncology, biology, physics
PURPOSE: Chat Generative Pre-Trained Transformer (ChatGPT), an artificial intelligence program that uses natural language processing to generate conversational-style responses to questions or inputs, is increasingly being used by both patients and he...

Chatting Beyond ChatGPT: Advancing Equity Through AI-Driven Language Interpretation.

Journal of general internal medicine
Medical interpretation is an underutilized resource, despite its legal mandate and proven efficacy in improving health outcomes for populations with low English proficiency. This disconnect can often be attributed to the costs and wait-times associat...

Vascular Age Assessed From an Uncalibrated, Noninvasive Pressure Waveform by Using a Deep Learning Approach: The AI-VascularAge Model.

Hypertension (Dallas, Tex. : 1979)
BACKGROUND: Aortic stiffness, assessed as carotid-femoral pulse wave velocity, provides a measure of vascular age and risk for adverse cardiovascular disease outcomes, but it is difficult to measure. The shape of arterial pressure waveforms conveys i...

Protocol for the design and accelerated optimization of a waste-to-energy system using AI tools.

STAR protocols
Amid a surge in waste volume, the need to achieve sustainable waste treatment has become increasingly important. Here, we present a protocol for the design and accelerated optimization of a waste-to-energy system using artificial intelligence tools. ...

The Council of Europe's AI Convention (2023-2024): Promises and pitfalls for health protection.

Health policy (Amsterdam, Netherlands)
The Council of Europe, Europe's most important human rights organization, is developing a legally binding instrument for the development, design, and application of AI systems. This "Convention on Artificial Intelligence, Human Rights, Democracy and ...

Electrocardiogram-based deep learning model to screen peripartum cardiomyopathy.

American journal of obstetrics & gynecology MFM
BACKGROUND: Peripartum cardiomyopathy, one of the most fatal conditions during delivery, results in heart failure secondary to left ventricular systolic dysfunction. Left ventricular dysfunction can result in abnormalities in electrocardiography. How...

ProGen2: Exploring the boundaries of protein language models.

Cell systems
Attention-based models trained on protein sequences have demonstrated incredible success at classification and generation tasks relevant for artificial-intelligence-driven protein design. However, we lack a sufficient understanding of how very large-...

Facilitators and barriers to using AI-enabled robots with older adults in long-term care from staff perspective: a scoping review protocol.

BMJ open
INTRODUCTION: Assistive and service robots have been increasingly designed and deployed in long-term care (LTC) but little evidence guides their use. This scoping review synthesises existing studies on facilitators and barriers to using artificial in...

Large Language Models for Therapy Recommendations Across 3 Clinical Specialties: Comparative Study.

Journal of medical Internet research
BACKGROUND: As advancements in artificial intelligence (AI) continue, large language models (LLMs) have emerged as promising tools for generating medical information. Their rapid adaptation and potential benefits in health care require rigorous asses...

Copper price prediction using LSTM recurrent neural network integrated simulated annealing algorithm.

PloS one
Copper is an important mineral and fluctuations in copper prices can affect the stable functioning of some countries' economies. Policy makers, futures traders and individual investors are very concerned about copper prices. In a recent paper, we use...