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Ghada Atteia,Maali Alabdulhafith,Hanaa A Abdallah et al. Ghada Atteia et al.
for diagnosing this ailment, thereby eliminating delayed diagnosis and facilitating the implementation of an efficient treatment.ObjectiveThis research presents a new deep learning-based cervical cancer identification decision support system in liquid-based cytology smear images.MethodsThe proposed diagnosis...support system incorporates a novel hybrid feature reduction and optimization module, which integrates a sparse Autoencoder with the Binary Harris Hawk metaheuristic optimization algorithm to select the most informative features from a supplemented feature set of the input images.
Michał Kassjański,Marcin Kulwiak,Tomasz Przewoźny et al. Michał Kassjański et al.
Hearing impairments are typically assessed using pure tone audiometry, a diagnostic method that allows for the identification of the degree, type and configuration of hearing loss. The results of this assessment are generally displayed in t...
Jemima Dooley,Joe Webb,Roy James et al. Jemima Dooley et al.
It takes time to adjust to a diagnosis of dementia. Post-diagnosis support has an important part to play in navigating this transition. However, it is often scarce and variable according to location. This co-produced study explored experien...
Michaela Christina Neff,Dania Schütze,Svea Holtz et al. Michaela Christina Neff et al.
Objectives: The objective of this study is to develop a high-fidelity prototype of the user interface of a clinical decision support system for primary care, particularly for diagnosis support in unclear diseases, using expert inspections at an early stage of development to ensure
Rebecca Saad,Ryan Pysar,Alaxandra Blackwell Rebecca Saad
Many people living with a rare disease (RD) face challenges accessing timely diagnosis and disease-specific specialist care. Early health-care challenges for people living with Epidermolysis Bullosa (EB), a rare genetic disease affecting 1:...
Cong Zhang,Tejasv Bedi,Chul Moon et al. Cong Zhang et al.
Digital pathology imaging, which captures histological details at the cellular level, is rapidly becoming a routine clinical procedure for cancer diagnosis support and treatment planning. Recent developments in deep-learning methods have facilitated tumor region segmentation from pathology images.
Naoko Tsunoda,Mamoru Hashimoto Naoko Tsunoda
The advent of lecanemab is a hope not only for people with dementia and their families but also for society as a whole. However, the effectiveness of lecanemab is limited, and the need to inform patients of their dementia may emphasize nega...
Alfonso Medela,Alberto Sabater,Ignacio Hernández Montilla et al. Alfonso Medela et al.
This study aims to assess the performance of a CE-certified medical device as a diagnosis support tool in a head & neck (H&N) outpatient clinic, specifically focusing on the classification of three key diagnostics: BCC, cSCC, and non-malignant lesions (such as Actinic Cheilitis, Actinic Keratosis, and
Beyza Nur Kuzan,İsmail Meşe,Servan Yaşar et al. Beyza Nur Kuzan et al.
Artificial intelligence (AI) diagnosis support tools, such as Chat Generative Pre-trained Transformer (ChatGPT), offer rapid diagnostic advantages.
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