Transforming medical imaging with Transformers? A comparative review of key properties, current progresses, and future perspectives

J Li, J Chen, Y Tang, C Wang, BA Landman… - Medical image …, 2023 - Elsevier
Transformer, one of the latest technological advances of deep learning, has gained
prevalence in natural language processing or computer vision. Since medical imaging bear …

Telehealth and Artificial Intelligence insights into healthcare during the COVID-19 pandemic

DM El-Sherif, M Abouzid, MT Elzarif, AA Ahmed… - Healthcare, 2022 - mdpi.com
Soon after the coronavirus disease 2019 pandemic was proclaimed, digital health services
were widely adopted to respond to this public health emergency, including comprehensive …

ChatGPT and other large language models are double-edged swords

Y Shen, L Heacock, J Elias, KD Hentel, B Reig, G Shih… - Radiology, 2023 - pubs.rsna.org
rules integrated into its technology. Additionally, users must carefully craft questions or
prompts, providing specific information about a clinical scenario and potential …

Artificial intelligence system reduces false-positive findings in the interpretation of breast ultrasound exams

Y Shen, FE Shamout, JR Oliver, J Witowski… - Nature …, 2021 - nature.com
Though consistently shown to detect mammographically occult cancers, breast ultrasound
has been noted to have high false-positive rates. In this work, we present an AI system that …

A hybrid machine learning/deep learning COVID-19 severity predictive model from CT images and clinical data

M Chieregato, F Frangiamore, M Morassi, C Baresi… - Scientific reports, 2022 - nature.com
COVID-19 clinical presentation and prognosis are highly variable, ranging from
asymptomatic and paucisymptomatic cases to acute respiratory distress syndrome and multi …

Explainable artificial intelligence methods in combating pandemics: A systematic review

F Giuste, W Shi, Y Zhu, T Naren, M Isgut… - IEEE Reviews in …, 2022 - ieeexplore.ieee.org
Despite the myriad peer-reviewed papers demonstrating novel Artificial Intelligence (AI)-
based solutions to COVID-19 challenges during the pandemic, few have made a significant …

[HTML][HTML] Public covid-19 x-ray datasets and their impact on model bias–a systematic review of a significant problem

BG Santa Cruz, MN Bossa, J Sölter, AD Husch - Medical image analysis, 2021 - Elsevier
Computer-aided-diagnosis and stratification of COVID-19 based on chest X-ray suffers from
weak bias assessment and limited quality-control. Undetected bias induced by inappropriate …

Use of advanced artificial intelligence in forensic medicine, forensic anthropology and clinical anatomy

A Thurzo, HS Kosnáčová, V Kurilová, S Kosmeľ… - Healthcare, 2021 - mdpi.com
Three-dimensional convolutional neural networks (3D CNN) of artificial intelligence (AI) are
potent in image processing and recognition using deep learning to perform generative and …

Artificial intelligence and machine learning for clinical pharmacology

DK Ryan, RH Maclean, A Balston… - British Journal of …, 2024 - Wiley Online Library
Artificial intelligence (AI) will impact many aspects of clinical pharmacology, including drug
discovery and development, clinical trials, personalized medicine, pharmacogenomics …

Data science approaches to confronting the COVID-19 pandemic: a narrative review

Q Zhang, J Gao, JT Wu, Z Cao… - … Transactions of the …, 2022 - royalsocietypublishing.org
During the COVID-19 pandemic, more than ever, data science has become a powerful
weapon in combating an infectious disease epidemic and arguably any future infectious …