“Putting Together Surgical Prioritie: The Fusion of Immunology and Robotics”

“Putting Together Surgical Prioritie: The Fusion of Immunology and Robotics”

Registration ID: IJNRD_217879

Published ID: IJNRD2404350

DOI: Click Here to Get

Archan Gupta , Brajesh Singh , Shubhangini Tripathi3 , Naveen Kumar Maurya , Abhishek Kumar

Convolutional neural networks, radiation oncology, artificial intelligence, machine learning, deep learning, and planning

Artificial machines using learning and Neural networks offer faster and more accurate solutions to the problems faced by oncologists. The use of artificial intelligence is likely to grow exponentially. However, the primary responsibility for concerns about the patient population, social inequalities, and wisdom reports regarding the disease and its natural course will rest with the physician. Artificial Intelligence (AI) is likely to bridge the gap between knowledge acquisition and knowledge acquisition. Its meaning is explained. This method has been shown to outperform most classification and regression methods to date and is able to learn data representations best suited to the tasks held and presented, becoming better for the respective process. This article attempts to convince radiologists about the role of AI and their goal to achieve more. The paper discusses a number of oncology topics, with a focus on radiation oncology as this is the arena where AI-based research has been conducted. AI has improved patient survival and result definition by precisely characterizing several aspects of healthcare, including prognostic tests, diagnosis, and screening modalities. AI-based techniques are now being used in radiation oncology for a number of protocols and procedures, including radiation delivery, segmentation, and planning. AI's benefits for the health industry as a whole might soon result in more advanced, individualized medicine

Published Paper   E-Certificate

"“Putting Together Surgical Prioritie: The Fusion of Immunology and Robotics”", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.9, Issue 4, page no.d442-d453, April-2024, Available :https://ijnrd.org/papers/IJNRD2404350.pdf

Volume 9 Issue 4, April-2024

Pages : d442-d453

Paper Reg. ID: IJNRD_217879

Published Paper Id: IJNRD2404350

Downloads: 000121131

Research Area: Pharmacy

Country: GORAKHPUR, UTTAR PRADESH, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2404350.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2404350

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

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This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition

Call For Paper - Volume 10 | Issue 8 | August 2025

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INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (IJNRD) aims to explore advances in research pertaining to applied, theoretical and experimental Technological studies. The goal is to promote scientific information interchange between researchers, developers, engineers, students, and practitioners working in and around the world. IJNRD will provide an opportunity for practitioners and educators of engineering field to exchange research evidence, models of best practice and innovative ideas.

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