AIMC Topic: Neoplasms

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Colon histology slide classification with deep-learning framework using individual and fused features.

Mathematical biosciences and engineering : MBE
Cancer occurrence rates are gradually rising in the population, which reasons a heavy diagnostic burden globally. The rate of colorectal (bowel) cancer (CC) is gradually rising, and is currently listed as the third most common cancer globally. Theref...

AI Helps Untangle Cancer Mysteries.

Cancer discovery
Patients with cancer of unknown primary (CUP) face obstacles in accessing treatment because many treatments are indicated only for a specific cancer type. Using retrospective data, researchers proved that OncoNPC, a machine-learning tool, can accurat...

Integrating Artificial Intelligence and Machine Learning Into Cancer Clinical Trials.

Seminars in radiation oncology
The practice of oncology requires analyzing and synthesizing abundant data. From the patient's workup to determine eligibility to the therapies received to the post-treatment surveillance, practitioners must constantly juggle, evaluate, and weigh dec...

Assessment of Artificial Intelligence Chatbot Responses to Top Searched Queries About Cancer.

JAMA oncology
IMPORTANCE: Consumers are increasingly using artificial intelligence (AI) chatbots as a source of information. However, the quality of the cancer information generated by these chatbots has not yet been evaluated using validated instruments.

Application of deep learning in cancer epigenetics through DNA methylation analysis.

Briefings in bioinformatics
DNA methylation is a fundamental epigenetic modification involved in various biological processes and diseases. Analysis of DNA methylation data at a genome-wide and high-throughput level can provide insights into diseases influenced by epigenetics, ...

Multiomics dynamic learning enables personalized diagnosis and prognosis for pancancer and cancer subtypes.

Briefings in bioinformatics
Artificial intelligence (AI) approaches in cancer analysis typically utilize a 'one-size-fits-all' methodology characterizing average patient responses. This manner neglects the diverse conditions in the pancancer and cancer subtypes of individual pa...

DeepPhe-CR: Natural Language Processing Software Services for Cancer Registrar Case Abstraction.

JCO clinical cancer informatics
PURPOSE: Manual extraction of case details from patient records for cancer surveillance is a resource-intensive task. Natural Language Processing (NLP) techniques have been proposed for automating the identification of key details in clinical notes. ...

[Not Available].

Recenti progressi in medicina
Advancing our understanding of complex diseases necessitates an interdisciplinary dialogue beyond artificial intelligence (AI) in the field of medicine. Two decades after the completion of the Human Genome Project, genetic sequencing has facilitated ...