Modern diagnostic imaging technique applications and risk factors in the medical field: a review

S Hussain, I Mubeen, N Ullah… - BioMed research …, 2022 - Wiley Online Library
Medical imaging is the process of visual representation of different tissues and organs of the
human body to monitor the normal and abnormal anatomy and physiology of the body …

AI applications to medical images: From machine learning to deep learning

I Castiglioni, L Rundo, M Codari, G Di Leo, C Salvatore… - Physica medica, 2021 - Elsevier
Purpose Artificial intelligence (AI) models are playing an increasing role in biomedical
research and healthcare services. This review focuses on challenges points to be clarified …

Artificial intelligence and machine learning for medical imaging: A technology review

A Barragán-Montero, U Javaid, G Valdés, D Nguyen… - Physica Medica, 2021 - Elsevier
Artificial intelligence (AI) has recently become a very popular buzzword, as a consequence
of disruptive technical advances and impressive experimental results, notably in the field of …

Radiology artificial intelligence: a systematic review and evaluation of methods (RAISE)

BS Kelly, C Judge, SM Bollard, SM Clifford… - European …, 2022 - Springer
Objective There has been a large amount of research in the field of artificial intelligence (AI)
as applied to clinical radiology. However, these studies vary in design and quality and …

Artificial intelligence in diagnostic imaging: impact on the radiography profession

M Hardy, H Harvey - The British journal of radiology, 2020 - academic.oup.com
The arrival of artificially intelligent systems into the domain of medical imaging has focused
attention and sparked much debate on the role and responsibilities of the radiologist …

Machine learning-enabled prediction of 3D-printed microneedle features

M Rezapour Sarabi, MM Alseed, AA Karagoz… - Biosensors, 2022 - mdpi.com
Microneedles (MNs) introduced a novel injection alternative to conventional needles,
offering a decreased administration pain and phobia along with more efficient transdermal …

PET-derived radiomics and artificial intelligence in breast cancer: a systematic review

L Urso, L Manco, A Castello, L Evangelista… - International Journal of …, 2022 - mdpi.com
Breast cancer (BC) is a heterogeneous malignancy that still represents the second cause of
cancer-related death among women worldwide. Due to the heterogeneity of BC, the correct …

[HTML][HTML] Artificial intelligence in medicine: chances and challenges for wide clinical adoption

J Varghese - Visceral medicine, 2020 - karger.com
Background: Artificial intelligence (AI) applications that utilize machine learning are on the
rise in clinical research and provide highly promising applications in specific use cases …

A road map for translational research on artificial intelligence in medical imaging: from the 2018 National Institutes of Health/RSNA/ACR/The Academy Workshop

B Allen Jr, SE Seltzer, CP Langlotz, KP Dreyer… - Journal of the American …, 2019 - Elsevier
Advances in machine learning in medical imaging are occurring at a rapid pace in research
laboratories both at academic institutions and in industry. Important artificial intelligence (AI) …

[HTML][HTML] Impact of quality, type and volume of data used by deep learning models in the analysis of medical images

AR Luca, TF Ursuleanu, L Gheorghe… - Informatics in Medicine …, 2022 - Elsevier
The need for time and attention given by the doctor to the patient, due to the increased
volume of medical data to be interpreted and filtered for diagnostic and therapeutic purposes …