Novel research and future prospects of artificial intelligence in cancer diagnosis and treatment
C Zhang, J Xu, R Tang, J Yang, W Wang, X Yu… - Journal of Hematology & …, 2023 - Springer
Research into the potential benefits of artificial intelligence for comprehending the intricate
biology of cancer has grown as a result of the widespread use of deep learning and …
biology of cancer has grown as a result of the widespread use of deep learning and …
Machine learning for genetics-based classification and treatment response prediction in cancer of unknown primary
Cancer of unknown primary (CUP) is a type of cancer that cannot be traced back to its
primary site and accounts for 3–5% of all cancers. Established targeted therapies are …
primary site and accounts for 3–5% of all cancers. Established targeted therapies are …
Extracting cancer concepts from clinical notes using natural language processing: a systematic review
M Gholipour, R Khajouei, P Amiri… - BMC …, 2023 - Springer
Background Extracting information from free texts using natural language processing (NLP)
can save time and reduce the hassle of manually extracting large quantities of data from …
can save time and reduce the hassle of manually extracting large quantities of data from …
Artificial intelligence in oncology: current capabilities, future opportunities, and ethical considerations
The promise of highly personalized oncology care using artificial intelligence (AI)
technologies has been forecasted since the emergence of the field. Cumulative advances …
technologies has been forecasted since the emergence of the field. Cumulative advances …
Artificial intelligence-aided clinical annotation of a large multi-cancer genomic dataset
To accelerate cancer research that correlates biomarkers with clinical endpoints, methods
are needed to ascertain outcomes from electronic health records at scale. Here, we train …
are needed to ascertain outcomes from electronic health records at scale. Here, we train …
Clinicopathologic and Genomic Analysis of TP53-Mutated Endometrial Carcinomas
A Momeni-Boroujeni, W Dahoud, CM Vanderbilt… - Clinical Cancer …, 2021 - AACR
Purpose: Copy number–high endometrial carcinomas were described by The Cancer
Genome Atlas as high-grade endometrioid and serous cancers showing frequent copy …
Genome Atlas as high-grade endometrioid and serous cancers showing frequent copy …
Inferring cancer disease response from radiology reports using large language models with data augmentation and prompting
Objective To assess large language models on their ability to accurately infer cancer
disease response from free-text radiology reports. Materials and Methods We assembled 10 …
disease response from free-text radiology reports. Materials and Methods We assembled 10 …
Assessment of electronic health record for cancer research and patient care through a scoping review of cancer natural language processing
PURPOSE The advancement of natural language processing (NLP) has promoted the use
of detailed textual data in electronic health records (EHRs) to support cancer research and …
of detailed textual data in electronic health records (EHRs) to support cancer research and …
Integration of clinical sequencing and immunohistochemistry for the molecular classification of endometrial carcinoma
E Rios-Doria, A Momeni-Boroujeni, CF Friedman… - Gynecologic …, 2023 - Elsevier
Purpose Using next generation sequencing (NGS), The Cancer Genome Atlas (TCGA)
found that endometrial carcinomas (ECs) fall under one of four molecular subtypes, and a …
found that endometrial carcinomas (ECs) fall under one of four molecular subtypes, and a …
Determining lines of therapy in patients with solid cancers: a proposed new systematic and comprehensive framework
The complexity of neoplasia and its treatment are a challenge to the formulation of general
criteria that are applicable across solid cancers. Determining the number of prior lines of …
criteria that are applicable across solid cancers. Determining the number of prior lines of …