Artificial intelligence for digital and computational pathology
Advances in digitizing tissue slides and the fast-paced progress in artificial intelligence,
including deep learning, have boosted the field of computational pathology. This field holds …
including deep learning, have boosted the field of computational pathology. This field holds …
Diagnosis of brain diseases in fusion of neuroimaging modalities using deep learning: A review
A Shoeibi, M Khodatars, M Jafari, N Ghassemi… - Information …, 2023 - Elsevier
Brain diseases, including tumors and mental and neurological disorders, seriously threaten
the health and well-being of millions of people worldwide. Structural and functional …
the health and well-being of millions of people worldwide. Structural and functional …
Multistain deep learning for prediction of prognosis and therapy response in colorectal cancer
S Foersch, C Glasner, AC Woerl, M Eckstein… - Nature medicine, 2023 - nature.com
Although it has long been known that the immune cell composition has a strong prognostic
and predictive value in colorectal cancer (CRC), scoring systems such as the immunoscore …
and predictive value in colorectal cancer (CRC), scoring systems such as the immunoscore …
Multimodal deep learning for integrating chest radiographs and clinical parameters: a case for transformers
Background Clinicians consider both imaging and nonimaging data when diagnosing
diseases; however, current machine learning approaches primarily consider data from a …
diseases; however, current machine learning approaches primarily consider data from a …
[HTML][HTML] A survey of multimodal information fusion for smart healthcare: Mapping the journey from data to wisdom
Multimodal medical data fusion has emerged as a transformative approach in smart
healthcare, enabling a comprehensive understanding of patient health and personalized …
healthcare, enabling a comprehensive understanding of patient health and personalized …
A scoping review of artificial intelligence-based methods for diabetes risk prediction
The increasing prevalence of type 2 diabetes mellitus (T2DM) and its associated health
complications highlight the need to develop predictive models for early diagnosis and …
complications highlight the need to develop predictive models for early diagnosis and …
A guide to artificial intelligence for cancer researchers
Artificial intelligence (AI) has been commoditized. It has evolved from a specialty resource to
a readily accessible tool for cancer researchers. AI-based tools can boost research …
a readily accessible tool for cancer researchers. AI-based tools can boost research …
A Review of Biosensors and Artificial Intelligence in Healthcare and Their Clinical Significance
In the past decade, a substantial increase in medical data from various sources, including
wearable sensors, medical imaging, personal health records, and public health …
wearable sensors, medical imaging, personal health records, and public health …
Artificial intelligence and biosensors in healthcare and its clinical relevance: A review
Data generated from sources such as wearable sensors, medical imaging, personal health
records, and public health organizations have resulted in a massive information increase in …
records, and public health organizations have resulted in a massive information increase in …
Application of radiomics-based multiomics combinations in the tumor microenvironment and cancer prognosis
W Kang, X Qiu, Y Luo, J Luo, Y Liu, J Xi, X Li… - Journal of Translational …, 2023 - Springer
The advent of immunotherapy, a groundbreaking advancement in cancer treatment, has
given rise to the prominence of the tumor microenvironment (TME) as a critical area of …
given rise to the prominence of the tumor microenvironment (TME) as a critical area of …