NDLI: Clinical applications of artificial intelligence and machine learning in cancer diagnosis: looking into the future

Content Provider	Springer Nature : BioMed Central
Author	Iqbal, Muhammad Javed Javed, Zeeshan Sadia, Haleema Qureshi, Ijaz A. Irshad, Asma Ahmed, Rais Malik, Kausar Raza, Shahid Abbas, Asif Pezzani, Raffaele Sharifi-Rad, Javad
Abstract	Artificial intelligence (AI) is the use of mathematical algorithms to mimic human cognitive abilities and to address difficult healthcare challenges including complex biological abnormalities like cancer. The exponential growth of AI in the last decade is evidenced to be the potential platform for optimal decision-making by super-intelligence, where the human mind is limited to process huge data in a narrow time range. Cancer is a complex and multifaced disorder with thousands of genetic and epigenetic variations. AI-based algorithms hold great promise to pave the way to identify these genetic mutations and aberrant protein interactions at a very early stage. Modern biomedical research is also focused to bring AI technology to the clinics safely and ethically. AI-based assistance to pathologists and physicians could be the great leap forward towards prediction for disease risk, diagnosis, prognosis, and treatments. Clinical applications of AI and Machine Learning (ML) in cancer diagnosis and treatment are the future of medical guidance towards faster mapping of a new treatment for every individual. By using AI base system approach, researchers can collaborate in real-time and share knowledge digitally to potentially heal millions. In this review, we focused to present game-changing technology of the future in clinics, by connecting biology with Artificial Intelligence and explain how AI-based assistance help oncologist for precise treatment.
Related Links	https://cancerci.biomedcentral.com/counter/pdf/10.1186/s12935-021-01981-1.pdf
Ending Page	11
Page Count	11
Starting Page	1
File Format	HTM / HTML
ISSN	14752867
DOI	10.1186/s12935-021-01981-1
Journal	Cancer Cell International
Issue Number	1
Volume Number	21
Language	English
Publisher	BioMed Central
Publisher Date	2021-05-21
Access Restriction	Open
Subject Keyword	Cancer Research Cell Biology Artificial intelligence Machine learning Cancer diagnosis Treatment Therapeutic interventions
Content Type	Text
Resource Type	Review
Subject	Cancer Research Genetics Oncology
Journal Impact Factor	5.3/2023
5-Year Journal Impact Factor	5/2023

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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