Machine learning and AI in cancer prognosis, prediction, and treatment selection: a critical approach

B Zhang, H Shi, H Wang - Journal of multidisciplinary healthcare, 2023 - Taylor & Francis
Cancer is a leading cause of morbidity and mortality worldwide. While progress has been
made in the diagnosis, prognosis, and treatment of cancer patients, individualized and data …

[HTML][HTML] Artificial intelligence in sickle disease

AA Elsabagh, M Elhadary, B Elsayed, AM Elshoeibi… - Blood Reviews, 2023 - Elsevier
Artificial intelligence (AI) is rapidly becoming an established arm in medical sciences and
clinical practice in numerous medical fields. Its implications have been rising and are being …

[HTML][HTML] Artificial intelligence in cancer care: From diagnosis to prevention and beyond

M Farrokhi, A Moeini, F Taheri, M Farrokhi, M Mostafavi… - Kindle, 2023 - preferpub.org
Artificial Intelligence (AI) has made significant strides in revolutionizing cancer care,
encompassing various aspects from diagnosis to prevention and beyond. With its ability to …

Future of artificial intelligence applications in cancer care: a global cross-sectional survey of researchers

BP Cabral, LAM Braga, S Syed-Abdul, FB Mota - Current Oncology, 2023 - mdpi.com
Cancer significantly contributes to global mortality, with 9.3 million annual deaths. To
alleviate this burden, the utilization of artificial intelligence (AI) applications has been …

The artificial intelligence in teledermatology: a narrative review on opportunities, perspectives, and bottlenecks

D Giansanti - International Journal of Environmental Research and …, 2023 - mdpi.com
Artificial intelligence (AI) is recently seeing significant advances in teledermatology (TD),
also thanks to the developments that have taken place during the COVID-19 pandemic. In …

[HTML][HTML] Digital pathology: transforming diagnosis in the digital age

N Kiran, FNU Sapna, FNU Kiran, D Kumar, FNU Raja… - Cureus, 2023 - ncbi.nlm.nih.gov
In the context of rapid technological advancements, the narrative review titled" Digital
Pathology: Transforming Diagnosis in the Digital Age" explores the significant impact of …

A comprehensive analysis of recent advancements in cancer detection using machine learning and deep learning models for improved diagnostics

HM Rai, J Yoo - Journal of Cancer Research and Clinical Oncology, 2023 - Springer
Purpose There are millions of people who lose their life due to several types of fatal
diseases. Cancer is one of the most fatal diseases which may be due to obesity, alcohol …

Artificial intelligence in cancer diagnosis: Opportunities and challenges

M Alshuhri, SG Al-Musawi, AA Al-Alwany… - … -Research and Practice, 2023 - Elsevier
Since cancer is one of the world's top causes of death, early diagnosis is critical to improving
patient outcomes. Artificial intelligence (AI) has become a viable technique for cancer …

The use of artificial intelligence tools in cancer detection compared to the traditional diagnostic imaging methods: An overview of the systematic reviews

HEC Silva, GNM Santos, AF Leite, CRM Mesquita… - Plos one, 2023 - journals.plos.org
Background and purpose In comparison to conventional medical imaging diagnostic
modalities, the aim of this overview article is to analyze the accuracy of the application of …

Analysis of Colorectal and Gastric Cancer Classification: A Mathematical Insight Utilizing Traditional Machine Learning Classifiers

HM Rai, J Yoo - Mathematics, 2023 - mdpi.com
Cancer remains a formidable global health challenge, claiming millions of lives annually.
Timely and accurate cancer diagnosis is imperative. While numerous reviews have explored …