Deep learning for pneumothorax diagnosis: a systematic review and meta-analysis

T Sugibayashi, SL Walston… - European …, 2023 - Eur Respiratory Soc
Background Deep learning (DL), a subset of artificial intelligence (AI), has been applied to
pneumothorax diagnosis to aid physician diagnosis, but no meta-analysis has been …

Time complexity in deep learning models

B Shah, H Bhavsar - Procedia Computer Science, 2022 - Elsevier
The convolution neural network is gaining a lot of popularity in image classification problems
nowadays. It has been used in many different classification problems, like medical imaging …

Innovative advances in pediatric radiology: computed tomography reconstruction techniques, photon-counting detector computed tomography, and beyond

I Mese, C Altintas Mese, U Demirsoy, Y Anik - Pediatric Radiology, 2024 - Springer
In pediatric radiology, balancing diagnostic accuracy with reduced radiation exposure is
paramount due to the heightened vulnerability of younger patients to radiation …

[HTML][HTML] Classification of complicated urban forest acoustic scenes with deep learning models

C Zhang, H Zhan, Z Hao, X Gao - Forests, 2023 - mdpi.com
The use of passive acoustic monitoring (PAM) can compensate for the shortcomings of
traditional survey methods on spatial and temporal scales and achieve all-weather and wide …

[HTML][HTML] Global research trends of artificial intelligence on histopathological images: a 20-year bibliometric analysis

W Zhou, Z Deng, Y Liu, H Shen, H Deng… - International Journal of …, 2022 - mdpi.com
Cancer has become a major threat to global health care. With the development of computer
science, artificial intelligence (AI) has been widely applied in histopathological images (HI) …

[HTML][HTML] Comparison of three artificial intelligence algorithms for automatic cobb angle measurement using teaching data specific to three disease groups

S Kato, Y Maeda, T Nagura, M Nakamura… - Scientific Reports, 2024 - nature.com
Spinal deformities, including adolescent idiopathic scoliosis (AIS) and adult spinal deformity
(ASD), affect many patients. The measurement of the Cobb angle on coronal radiographs is …

Privacy, Please: Safeguarding Medical Data in Imaging AI Using Differential Privacy Techniques

A Suri, RM Summers - Radiology: Artificial Intelligence, 2024 - pubs.rsna.org
Abhinav Suri, MPH, is a medical student at the David Geffen School of Medicine at the
University of California Los Angeles and a Medical Research Scholars Program fellow at the …

Detection and Quantification of Arnica montana L. Inflorescences in Grassland Ecosystems Using Convolutional Neural Networks and Drone-Based Remote Sensing

DD Sângeorzan, F Păcurar, A Reif, H Weinacker… - Remote Sensing, 2024 - mdpi.com
Arnica montana L. is a medicinal plant with significant conservation importance. It is crucial
to monitor this species, ensuring its sustainable harvesting and management. The aim of this …

[HTML][HTML] Radiographic chest wall abnormalities in primary spontaneous pneumothorax identified by artificial intelligence

MC Chiu, SCS Tsai, ZR Bai, A Lin, CC Chang… - Heliyon, 2024 - cell.com
Primary spontaneous pneumothorax (PSP) primarily affects slim and tall young males.
Exploring the etiological link between chest wall structural characteristics and PSP is crucial …

Pleural effusion detection using machine learning and deep learning based on computer vision

RF Ibrahim, NM Yhiea, AM Mohammed… - … on Advanced Intelligent …, 2022 - Springer
Pleural effusion is one of the serious chest diseases that affect human life depending on the
causes, such as malignant tumors, liver, kidney or chest failure, and the risks increase with …