AIMC Topic: Artificial Intelligence

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Multi-modal medical image classification using deep residual network and genetic algorithm.

PloS one
Artificial intelligence (AI) development across the health sector has recently been the most crucial. Early medical information, identification, diagnosis, classification, then analysis, along with viable remedies, are always beneficial developments....

The Role and Potential Contributions of the Artificial Intelligence Language Model ChatGPT.

Annals of biomedical engineering
This discussion paper aims to examine the potential benefits and limitations of using artificial intelligence (AI) chatbots in nursing practice, with a particular focus on the ChatGPT example. The study discusses how chatbots can serve as a valuable ...

Virtual pretreatment patient-specific quality assurance of volumetric modulated arc therapy using deep learning.

Medical physics
BACKGROUND: Automatic patient-specific quality assurance (PSQA) is recently explored using artificial intelligence approaches, and several studies reported the development of machine learning models for predicting the gamma pass rate (GPR) index only...

Application of artificial intelligence-based methods in bioelectrochemical systems: Recent progress and future perspectives.

Journal of environmental management
Bioelectrochemical Systems (BESs) leverage microbial metabolic processes to either produce electricity by degrading organic matter or consume electricity to assist metabolism, and can be used for various applications such as energy production, wastew...

Computed Tomography 2.0: New Detector Technology, AI, and Other Developments.

Investigative radiology
Computed tomography (CT) dramatically improved the capabilities of diagnostic and interventional radiology. Starting in the early 1970s, this imaging modality is still evolving, although tremendous improvements in scan speed, volume coverage, spatial...

Artificial intelligence in ophthalmology: The path to the real-world clinic.

Cell reports. Medicine
Artificial intelligence (AI) has great potential to transform healthcare by enhancing the workflow and productivity of clinicians, enabling existing staff to serve more patients, improving patient outcomes, and reducing health disparities. In the fie...

AI model GPT-3 (dis)informs us better than humans.

Science advances
Artificial intelligence (AI) is changing the way we create and evaluate information, and this is happening during an infodemic, which has been having marked effects on global health. Here, we evaluate whether recruited individuals can distinguish dis...

Utility of ChatGPT in Clinical Practice.

Journal of medical Internet research
ChatGPT is receiving increasing attention and has a variety of application scenarios in clinical practice. In clinical decision support, ChatGPT has been used to generate accurate differential diagnosis lists, support clinical decision-making, optimi...

Algorithmic fairness in artificial intelligence for medicine and healthcare.

Nature biomedical engineering
In healthcare, the development and deployment of insufficiently fair systems of artificial intelligence (AI) can undermine the delivery of equitable care. Assessments of AI models stratified across subpopulations have revealed inequalities in how pat...

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...