AIMC Topic: Artificial Intelligence

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Implementation of deep learning artificial intelligence in vision-threatening disease screenings for an underserved community during COVID-19.

Journal of telemedicine and telecare
INTRODUCTION: Age-related macular degeneration, diabetic retinopathy, and glaucoma are vision-threatening diseases that are leading causes of vision loss. Many studies have validated deep learning artificial intelligence for image-based diagnosis of ...

Tritium: Its relevance, sources and impacts on non-human biota.

The Science of the total environment
Tritium (H) is a radioactive isotope of hydrogen that is abundantly released from nuclear industries. It is extremely mobile in the environment and in all biological systems, representing an increasing concern for the health of both humans and non-hu...

A survey of ASER members on artificial intelligence in emergency radiology: trends, perceptions, and expectations.

Emergency radiology
PURPOSE: There is a growing body of diagnostic performance studies for emergency radiology-related artificial intelligence/machine learning (AI/ML) tools; however, little is known about user preferences, concerns, experiences, expectations, and the d...

Ethical use of Artificial Intelligence in Health Professions Education: AMEE Guide No. 158.

Medical teacher
Health Professions Education (HPE) has benefitted from the advances in Artificial Intelligence (AI) and is set to benefit more in the future. Just as any technological advance opens discussions about ethics, so the implications of AI for HPE ethics n...

Superhuman artificial intelligence can improve human decision-making by increasing novelty.

Proceedings of the National Academy of Sciences of the United States of America
How will superhuman artificial intelligence (AI) affect human decision-making? And what will be the mechanisms behind this effect? We address these questions in a domain where AI already exceeds human performance, analyzing more than 5.8 million move...

Convergence of Artificial Intelligence and Neuroscience towards the Diagnosis of Neurological Disorders-A Scoping Review.

Sensors (Basel, Switzerland)
Artificial intelligence (AI) is a field of computer science that deals with the simulation of human intelligence using machines so that such machines gain problem-solving and decision-making capabilities similar to that of the human brain. Neuroscien...

Differentiating malignant and benign eyelid lesions using deep learning.

Scientific reports
Artificial intelligence as a screening tool for eyelid lesions will be helpful for early diagnosis of eyelid malignancies and proper decision-making. This study aimed to evaluate the performance of a deep learning model in differentiating eyelid lesi...

Persuading Patients Using Rhetoric to Improve Artificial Intelligence Adoption: Experimental Study.

Journal of medical Internet research
BACKGROUND: Artificial intelligence (AI) can transform health care processes with its increasing ability to translate complex structured and unstructured data into actionable clinical decisions. Although it has been established that AI is much more e...

Beyond diagnosis: is there a role for radiomics in prostate cancer management?

European radiology experimental
The role of imaging in pretreatment staging and management of prostate cancer (PCa) is constantly evolving. In the last decade, there has been an ever-growing interest in radiomics as an image analysis approach able to extract objective quantitative ...