[{“box”:0,”content”:”[if 992 equals=”Open Access”]n
n
Open Access
nn
n
n[/if 992]n
n
n
n
n
n
Ariba Akhtar
n
- n t
n
n
n[/foreach]
n
n[if 2099 not_equal=”Yes”]n
- [foreach 286] [if 1175 not_equal=””]n t
- Research Scholar Thakur Institute of Management Studies, Career Development & Research (TIMSCDR) Mumbai Maharashtra India
n[/if 1175][/foreach]
n[/if 2099][if 2099 equals=”Yes”][/if 2099]n
Abstract
nThis extensive study explores the landscape of conventional technologies used in Indian hospitals for Breast Cancer Screening. The study comprehensively examines commonly used techniques, including Mammography, Ultrasound and Clinical Breast Examination in order to provide a holistic understanding of existing screening methods. The study also investigates how well-informed medical facilities are on the newest technology in breast cancer screening, including AI based methods.
The acceptance rates and challenges involved with introducing cutting-edge technologies into current breast cancer screening procedures were analysed using data analysis throughout this study. This was conducted with the aim of bridging gaps pertaining to awareness surrounding advanced means of conducting screenings within healthcare settings across India. Ultimately, it is hoped that such insights will serve as a foundation on which targeted mass communication strategies can be developed along with instructional programs aimed at enhancing utilisation levels regarding state-of-the-art diagnostic tools specifically designed for assessing early-stage cancers among Indian patients suffering from these diseases.
Based upon its findings; it could positively influence prediction accuracy while facilitating timely interventions thus improving prognosis opportunities overall among individuals grappling intensified by varying forms or stages thereof through innovative tech-enabled measure taken up i.e., latest ways possible – auguring positive outlook shaping future design by contributing increasingly sophisticated measures geared at achieving desired outcomes serving needful communities wherever they exist globally without fail!
n
Keywords: Mammography; MammoAssist; MammoAlert; Niramai, breast cancer, screening, technology
n[if 424 equals=”Regular Issue”][This article belongs to Emerging Trends in Chemical Engineering(etce)]
n
n
n
n
n
nn[if 992 equals=”Open Access”] Full Text PDF Download[/if 992] n[if 992 not_equal=”Open Access”] [/if 992]n[if 992 not_equal=”Open Access”]
nn
n[/if 992]nn[if 379 not_equal=””]nBrowse Figures
n
n[/if 379]n
References
n[if 1104 equals=””]n
- Expanding the horizon for breast cancer screening in India through artificial intelligent technologies -A mini-review Digit. Health, 23 December 2022 Sec. Health Technology Implementation Volume 4 – 2022
- Clinical and Regulatory – (cited 2022 Aug 26).
- Magnin M, Junot S, Cardinali M, Ayoub JY, Paquet C, Louzier V, et Use of infrared thermography to detect early alterations of peripheral perfusion: evaluation in a porcine model. Biomed Opt Express. (2020) 11(5):2431–46.
- POC Medical Systems, Inc. Multi-Centric Screening of Breast Cancer Patients to Determine Efficiency and to Assess Sensitivity & Accuracy of Pandora CDx MammoAlertTM in Screening of Breast clinicaltrials.gov; 2018 Apr. Report No.: NCT03243877 (cited 2022 May 10).
- Bhattacharya S, Sharma N, Singh A. Designing culturally acceptable screening for breast cancer through artificial intelligence-two case studies. J Fam Med Prim Care. (2019) 8(2):760–2. Azamjah N, Soltan-Zadeh Y, Zayeri F. Global trend of breast cancer mortality rate: a 25-year Asian Pac J Cancer Prev APJCP. (2019) 20(7):2015–20.
- Sung H, Ferlay J, Siegel RL, Laversanne M, Soerjomataram I, Jemal A, et al. Global cancer statistics 2020: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 CA Cancer J Clin. (2021) 71(3):209–49.
- Viral P, Pavithran K, Beena K, Shaji A, Vijaykumar DK. Ten- year survival outcome of breast cancer patients in India. J (2021) 20:1–9.
- Advantages and Disadvantages of Mammography Screening
- Sylvia Heywang-Köbrunner; Astrid Hacker;
Stefan Sedlacek
- Breast Care (2011) 6 (3): 199–207.
- Observational Study to Evaluate the Clinical Efficacy of Thermalytix for Detecting Breast Cancer in Symptomatic and Asymptomatic Women Siva Teja Kakileti , BTech1; Himanshu
- Madhu, MS1; Lakshmi Krishnan , MDS1; Geetha Manjunath, ME, PhD1; Sudhakar Sampangi, MBS, MD2; and
- Ramprakash, MBBS, MD, DMRD3
- Niramai Health Analytix, Koramangala, Bangalore, India
- Department of Radiology, Health Care Global, Bangalore, India
- Ramprakash, MBBS, MD, DMRD3
- Central Diagnostic Research Foundation Wellness, Bangalore, India
- CAD and AI for breast cancer—recent development and challenges Heang-Ping Chan, Ravi Samala and Lubomir M. Hadjiiski Published Online:16 Dec 2019.
- Artificial intelligence in the interpretation of breast cancer on MRI Deepa Sheth MD, Maryellen L. Giger PhD First published: 25 July
- Artificial intelligence for breast cancer detection in mammography and digital breast tomosynthesis: State of the
nn[/if 1104][if 1104 not_equal=””]n
- [foreach 1102]n t
- [if 1106 equals=””], [/if 1106][if 1106 not_equal=””],[/if 1106]
n[/foreach]
n[/if 1104]
nn
nn[if 1114 equals=”Yes”]n
n[/if 1114]
n
n
n
n
n
| Volume | ||
| [if 424 equals=”Regular Issue”]Issue[/if 424][if 424 equals=”Special Issue”]Special Issue[/if 424] [if 424 equals=”Conference”][/if 424] | ||
| Received | April 12, 2024 | |
| Accepted | May 4, 2024 | |
| Published | May 29, 2024 |
n
n
n
n
n
n function myFunction2() {n var x = document.getElementById(“browsefigure”);n if (x.style.display === “block”) {n x.style.display = “none”;n }n else { x.style.display = “Block”; }n }n document.querySelector(“.prevBtn”).addEventListener(“click”, () => {n changeSlides(-1);n });n document.querySelector(“.nextBtn”).addEventListener(“click”, () => {n changeSlides(1);n });n var slideIndex = 1;n showSlides(slideIndex);n function changeSlides(n) {n showSlides((slideIndex += n));n }n function currentSlide(n) {n showSlides((slideIndex = n));n }n function showSlides(n) {n var i;n var slides = document.getElementsByClassName(“Slide”);n var dots = document.getElementsByClassName(“Navdot”);n if (n > slides.length) { slideIndex = 1; }n if (n (item.style.display = “none”));n Array.from(dots).forEach(n item => (item.className = item.className.replace(” selected”, “”))n );n slides[slideIndex – 1].style.display = “block”;n dots[slideIndex – 1].className += ” selected”;n }n”}]