Artificial intelligence in disease diagnosis: a systematic literature review, synthesizing framework and future research agenda

Y Kumar, A Koul, R Singla, MF Ijaz - Journal of ambient intelligence and …, 2023 - Springer
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 …

Designing deep learning studies in cancer diagnostics

A Kleppe, OJ Skrede, S De Raedt, K Liestøl… - Nature Reviews …, 2021 - nature.com
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 …

Deep learning model for automated kidney stone detection using coronal CT images

K Yildirim, PG Bozdag, M Talo, O Yildirim… - Computers in biology …, 2021 - Elsevier
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 …

Deep learning in cancer diagnosis and prognosis prediction: a minireview on challenges, recent trends, and future directions

AB Tufail, YK Ma, MKA Kaabar… - … Methods in Medicine, 2021 - Wiley Online Library
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 …

Identification of kidney stones in KUB X-ray images using VGG16 empowered with explainable artificial intelligence

F Ahmed, S Abbas, A Athar, T Shahzad, WA Khan… - Scientific Reports, 2024 - nature.com
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 …

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 …

Artificial intelligence in the advanced diagnosis of bladder cancer-comprehensive literature review and future advancement

M Ferro, UG Falagario, B Barone, M Maggi, F Crocetto… - Diagnostics, 2023 - mdpi.com
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 …

[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 …

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 …

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 …