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AI and Nanotechnology for Healthcare: A survey

APTISI Transactions on Management (ATM) · Vol. 7 No. 1 (2022) · pp. 86–91

DOI
10.33050/atm.v7i1.1819
ISSN
2622-6804, 2622-6812
Published
2022-01-28
Publisher
Pandawan
Language
en
License
creativecommons.org/licenses/by-sa/4.0

Abstract

AI is today's wave of technology, and it caters to various problems. One of them is Nanotechnology. Nanotechnology is another thread of technology. The use of nanotechnology is well known, including in the health sector, cosmetic industry, and agriculture. The role of AI in healthcare is broad, from detecting lung disease to skin analysis. This study aims to explore healthcare possibilities by integrating AI and nanotechnology. The method of applying nanotechnology in the health sector uses a Nanomedicine Microscope. Nanomedicine is the medical application of nanotechnology used to diagnose, monitor, and control biological systems. Therefore, the author uses the Nanomedicine Microscope as the object in this study because the wonders of nanotechnology in various operations are also well established. The novelty in this paper focuses on AI and Nanotechnology together as possibilities for healthcare. AI and nanotechnology are two critical technologies. The ultimate goal is to integrate the uses and possibilities of these two technologies and do wonders in the healthcare domain. This study will benefit those working in AI and medicine. Nanotechnology integrating AI technology into the medical industry enables many conveniences, including task automation and analyzing large amounts of patient data for better, faster, and more affordable healthcare.

Keywords

Collaboration network of the authors

40 authors · 104 co-authorship links · 4 across different organisations · showing the 40 most connected

Hover or tap a name to highlight its co-authors. Double-click to open the author's page.

  • Universitas Raharja
  • Satya Wacana Christian University
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Kawal AroraAffiliation unknown3
Qurotul AiniUniversitas Raharja3
Roshan PrakashAffiliation unknown2
Saksham ChaurasiaAffiliation unknown2
Marviola HardiniAffiliation unknown2
Nuke Puji Lestari SantosoUniversitas Raharja2
RahayuonoAffiliation unknown1
Alifta LuthfiaazahraAffiliation unknown1
Dewi ImmaniarAffiliation unknown1
Nanda SeptianiAffiliation unknown1
Nur AzizahAffiliation unknown1
SulistiawatiAffiliation unknown1
Mey AnggraeniAffiliation unknown1
Datu MohammedAffiliation unknown1
Srishti BiswasAffiliation unknown1
Ritesh MishraAffiliation unknown1
Megha UpretiAffiliation unknown1
Chitra PandeyAffiliation unknown1
Buphest RawatAffiliation unknown1
Mukti BudiartoUniversitas Raharja1
Ari AsmawatiAffiliation unknown1
Prakriti RashiAffiliation unknown1
Wahyu Yustika PrihastiwiAffiliation unknown1
Haryanto .Affiliation unknown1
Siti MaesarohAffiliation unknown1
Muhammad Rehan AnwarAffiliation unknown1
Sugeng WidadaAffiliation unknown1
R. Donny M. IskandarAffiliation unknown1
Tatik MaryantiAffiliation unknown1
Acep R. JayaprawiraAffiliation unknown1
Irwan SembiringSatya Wacana Christian University1
Danny ManonggaSatya Wacana Christian University1
Untung RahardjaAffiliation unknown1
Abdullah Achmad ZawawiAffiliation unknown1
Greisy JacquelineAffiliation unknown1

Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.

Metadata source: OAI-PMH (metadata jurnal) https://ijc.ilearning.co/ATM/oai, first harvested 6 Nov 2026, last seen 8 Nov 2026.
Original metadata (oai_dc) 
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	<dc:title xml:lang="en">AI and Nanotechnology for Healthcare: A survey</dc:title>
	<dc:creator xml:lang="en">Rawat, Bhupesh</dc:creator>
	<dc:creator xml:lang="en">Bist, Ankur Singh</dc:creator>
	<dc:creator xml:lang="en">Supriyanti, Dedeh</dc:creator>
	<dc:creator xml:lang="en">Elmanda, Vonda</dc:creator>
	<dc:creator xml:lang="en">Sari, Siti Nurindah</dc:creator>
	<dc:subject xml:lang="en">AI</dc:subject>
	<dc:subject xml:lang="en">healthcare</dc:subject>
	<dc:subject xml:lang="en">nanotechnology</dc:subject>
	<dc:description xml:lang="en">AI is today's wave of technology, and it caters to various problems. One of them is Nanotechnology. Nanotechnology is another thread of technology. The use of nanotechnology is well known, including in the health sector, cosmetic industry, and agriculture. The role of AI in healthcare is broad, from detecting lung disease to skin analysis. This study aims to explore healthcare possibilities by integrating AI and nanotechnology. The method of applying nanotechnology in the health sector uses a Nanomedicine Microscope. Nanomedicine is the medical application of nanotechnology used to diagnose, monitor, and control biological systems. Therefore, the author uses the Nanomedicine Microscope as the object in this study because the wonders of nanotechnology in various operations are also well established. The novelty in this paper focuses on AI and Nanotechnology together as possibilities for healthcare. AI and nanotechnology are two critical technologies. The ultimate goal is to integrate the uses and possibilities of these two technologies and do wonders in the healthcare domain. This study will benefit those working in AI and medicine. Nanotechnology integrating AI technology into the medical industry enables many conveniences, including task automation and analyzing large amounts of patient data for better, faster, and more affordable healthcare.</dc:description>
	<dc:publisher xml:lang="en">Pandawan</dc:publisher>
	<dc:date>2022-01-28</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://ijc.ilearning.co/ATM/article/view/1819</dc:identifier>
	<dc:identifier>10.33050/atm.v7i1.1819</dc:identifier>
	<dc:source xml:lang="en">APTISI Transactions on Management (ATM); Vol. 7 No. 1 (2023): January; 86-91</dc:source>
	<dc:source xml:lang="id">APTISI Transactions on Management (ATM); Vol 7 No 1 (2023): January; 86-91</dc:source>
	<dc:source>2622-6804</dc:source>
	<dc:source>2622-6812</dc:source>
	<dc:source>10.33050/atm.v7i1</dc:source>
	<dc:language>en</dc:language>
	<dc:relation>https://ijc.ilearning.co/ATM/article/view/1819/588</dc:relation>
	<dc:rights xml:lang="en">Copyright (c) 2023 Bhupesh  Rawat, Ankur Singh  Bist, Dedeh  Supriyanti, Vonda  Elmanda, Siti Nurindah Sari (Author)</dc:rights>
	<dc:rights xml:lang="en">http://creativecommons.org/licenses/by-sa/4.0</dc:rights>
</oai_dc:dc>