The role of artificial intelligence in echocardiography

T Barry, JM Farina, CJ Chao, C Ayoub, J Jeong… - Journal of …, 2023 - mdpi.com
Echocardiography is an integral part of the diagnosis and management of cardiovascular
disease. The use and application of artificial intelligence (AI) is a rapidly expanding field in …

Deep learning on histopathological images for colorectal cancer diagnosis: a systematic review

A Davri, E Birbas, T Kanavos, G Ntritsos, N Giannakeas… - Diagnostics, 2022 - mdpi.com
Colorectal cancer (CRC) is the second most common cancer in women and the third most
common in men, with an increasing incidence. Pathology diagnosis complemented with …

A pathology foundation model for cancer diagnosis and prognosis prediction

X Wang, J Zhao, E Marostica, W Yuan, J Jin, J Zhang… - Nature, 2024 - nature.com
Histopathology image evaluation is indispensable for cancer diagnoses and subtype
classification. Standard artificial intelligence methods for histopathology image analyses …

Histopathology images predict multi-omics aberrations and prognoses in colorectal cancer patients

PC Tsai, TH Lee, KC Kuo, FY Su, TLM Lee… - Nature …, 2023 - nature.com
Histopathologic assessment is indispensable for diagnosing colorectal cancer (CRC).
However, manual evaluation of the diseased tissues under the microscope cannot reliably …

Application of artificial intelligence in diagnosis and treatment of colorectal cancer: A novel Prospect

Z Yin, C Yao, L Zhang, S Qi - Frontiers in Medicine, 2023 - frontiersin.org
In the past few decades, according to the rapid development of information technology,
artificial intelligence (AI) has also made significant progress in the medical field. Colorectal …

Development of a tongue image-based machine learning tool for the diagnosis of gastric cancer: a prospective multicentre clinical cohort study

L Yuan, L Yang, S Zhang, Z Xu, J Qin, Y Shi, P Yu… - …, 2023 - thelancet.com
Background Tongue images (the colour, size and shape of the tongue and the colour,
thickness and moisture content of the tongue coating), reflecting the health state of the whole …

Artificial intelligence-aided optical imaging for cancer theranostics

M Xu, Z Chen, J Zheng, Q Zhao, Z Yuan - Seminars in Cancer Biology, 2023 - Elsevier
The use of artificial intelligence (AI) to assist biomedical imaging have demonstrated its high
accuracy and high efficiency in medical decision-making for individualized cancer medicine …

[HTML][HTML] Computer-assisted diagnosis of lymph node metastases in colorectal cancers using transfer learning with an ensemble model

A Khan, N Brouwer, A Blank, F Müller, D Soldini… - Modern pathology, 2023 - Elsevier
Screening of lymph node metastases in colorectal cancer (CRC) can be a cumbersome task,
but it is amenable to artificial intelligence (AI)-assisted diagnostic solution. Here, we propose …

Artificial Intelligence in Oncology: Current Landscape, Challenges, and Future Directions

W Lotter, MJ Hassett, N Schultz, KL Kehl, EM Van Allen… - Cancer Discovery, 2024 - AACR
Artificial intelligence (AI) in oncology is advancing beyond algorithm development to
integration into clinical practice. This review describes the current state of the field, with a …

Tissue classification and diagnosis of colorectal cancer histopathology images using deep learning algorithms. Is the time ripe for clinical practice implementation?

DD Chlorogiannis, GI Verras, V Tzelepi… - Gastroenterology …, 2023 - termedia.pl
Colorectal cancer is one of the most prevalent types of cancer, with histopathologic
examination of biopsied tissue samples remaining the gold standard for diagnosis. During …