Towards a guideline for evaluation metrics in medical image segmentation
In the last decade, research on artificial intelligence has seen rapid growth with deep
learning models, especially in the field of medical image segmentation. Various studies …
learning models, especially in the field of medical image segmentation. Various studies …
Advancing patient care: how artificial intelligence is transforming healthcare
DG Poalelungi, CL Musat, A Fulga, M Neagu… - Journal of personalized …, 2023 - mdpi.com
Artificial Intelligence (AI) has emerged as a transformative technology with immense
potential in the field of medicine. By leveraging machine learning and deep learning, AI can …
potential in the field of medicine. By leveraging machine learning and deep learning, AI can …
Multimodal deep learning for Alzheimer's disease dementia assessment
Worldwide, there are nearly 10 million new cases of dementia annually, of which
Alzheimer's disease (AD) is the most common. New measures are needed to improve the …
Alzheimer's disease (AD) is the most common. New measures are needed to improve the …
May artificial intelligence influence future pediatric research?—The case of ChatGPT
A Corsello, A Santangelo - Children, 2023 - mdpi.com
Background: In recent months, there has been growing interest in the potential of artificial
intelligence (AI) to revolutionize various aspects of medicine, including research, education …
intelligence (AI) to revolutionize various aspects of medicine, including research, education …
Performance of large language models on a neurology board–style examination
Importance Recent advancements in large language models (LLMs) have shown potential
in a wide array of applications, including health care. While LLMs showed heterogeneous …
in a wide array of applications, including health care. While LLMs showed heterogeneous …
Perinatal health predictors using artificial intelligence: A review
Advances in public health and medical care have enabled better pregnancy and birth
outcomes. The rates of perinatal health indicators such as maternal mortality and morbidity; …
outcomes. The rates of perinatal health indicators such as maternal mortality and morbidity; …
Enhancing trust in AI through industry self-governance
J Roski, EJ Maier, K Vigilante, EA Kane… - Journal of the …, 2021 - academic.oup.com
Artificial intelligence (AI) is critical to harnessing value from exponentially growing health
and healthcare data. Expectations are high for AI solutions to effectively address current …
and healthcare data. Expectations are high for AI solutions to effectively address current …
Enhancing the evidence with algorithms: how artificial intelligence is transforming forensic medicine
Background: The integration of artificial intelligence (AI) into various fields has ushered in a
new era of multidisciplinary progress. Defined as the ability of a system to interpret external …
new era of multidisciplinary progress. Defined as the ability of a system to interpret external …
Artificial intelligence in epilepsy
Background: The study of seizure patterns in electroencephalography (EEG) requires
several years of intensive training. In addition, inadequate training and human error may …
several years of intensive training. In addition, inadequate training and human error may …
[HTML][HTML] Teleneuropsychology in the time of COVID-19: The experience of The Australian Epilepsy Project
Purpose Traditional neuropsychological testing carries elevated COVID-19 risk for both
examinee and examiner. Here we describe how the pilot study of the Australian Epilepsy …
examinee and examiner. Here we describe how the pilot study of the Australian Epilepsy …