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Artificial intelligence in disease diagnosis: a systematic literature review, synthesizing framework and future research agenda
Artificial intelligence can assist providers in a variety of patient care and intelligent health
systems. Artificial intelligence techniques ranging from machine learning to deep learning …
systems. Artificial intelligence techniques ranging from machine learning to deep learning …
Designing deep learning studies in cancer diagnostics
The number of publications on deep learning for cancer diagnostics is rapidly increasing,
and systems are frequently claimed to perform comparable with or better than clinicians …
and systems are frequently claimed to perform comparable with or better than clinicians …
Deep learning model for automated kidney stone detection using coronal CT images
Kidney stones are a common complaint worldwide, causing many people to admit to
emergency rooms with severe pain. Various imaging techniques are used for the diagnosis …
emergency rooms with severe pain. Various imaging techniques are used for the diagnosis …
Deep learning in cancer diagnosis and prognosis prediction: a minireview on challenges, recent trends, and future directions
Deep learning (DL) is a branch of machine learning and artificial intelligence that has been
applied to many areas in different domains such as health care and drug design. Cancer …
applied to many areas in different domains such as health care and drug design. Cancer …
Identification of kidney stones in KUB X-ray images using VGG16 empowered with explainable artificial intelligence
A kidney stone is a solid formation that can lead to kidney failure, severe pain, and reduced
quality of life from urinary system blockages. While medical experts can interpret kidney …
quality of life from urinary system blockages. While medical experts can interpret kidney …
An inception‐ResNet deep learning approach to classify tumours in the ovary as benign and malignant
A Kodipalli, S Guha, S Dasar, T Ismail - Expert Systems, 2022 - Wiley Online Library
The classification of tumours into benign and malignant continues to date to be a very
relevant and significant research topic in the cancer research domain. With the advent of …
relevant and significant research topic in the cancer research domain. With the advent of …
Artificial intelligence in the advanced diagnosis of bladder cancer-comprehensive literature review and future advancement
Artificial intelligence is highly regarded as the most promising future technology that will
have a great impact on healthcare across all specialties. Its subsets, machine learning, deep …
have a great impact on healthcare across all specialties. Its subsets, machine learning, deep …
[HTML][HTML] Artificial intelligence: A promising frontier in bladder cancer diagnosis and outcome prediction
S Borhani, R Borhani, A Kajdacsy-Balla - Critical reviews in oncology …, 2022 - Elsevier
Bladder cancer (BCa) is the most common malignancy of the urinary tract and the most
expensive malignancy to treat over the patients' lifetime. In recent years a number of studies …
expensive malignancy to treat over the patients' lifetime. In recent years a number of studies …
Advances in diagnosis and therapy for bladder cancer
X Hu, G Li, S Wu - Cancers, 2022 - mdpi.com
Simple Summary The clinical management of bladder cancer has been develo** in the
past decade, including diagnostic tools and treatment options. Both monotherapy and …
past decade, including diagnostic tools and treatment options. Both monotherapy and …
Where do we stand in AI for endoscopic image analysis? Deciphering gaps and future directions
S Ali - npj Digital Medicine, 2022 - nature.com
Recent developments in deep learning have enabled data-driven algorithms that can reach
human-level performance and beyond. The development and deployment of medical image …
human-level performance and beyond. The development and deployment of medical image …