Melola Discovery

← Melola Discovery

Akses terbuka Jurnal

AI and Nanotechnology for Healthcare: A survey

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

DOI
10.33050/atm.v7i1.1819
ISSN
2622-6804, 2622-6812
Terbit
2022-01-28
Penerbit
Pandawan
Bahasa
en
Lisensi
creativecommons.org/licenses/by-sa/4.0

Abstrak

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.

Kata kunci

Jaringan kolaborasi para penulis

40 penulis · 104 tautan kepenulisan bersama · 4 lintas organisasi · menampilkan 40 yang paling banyak terhubung

Arahkan kursor atau ketuk sebuah nama untuk menyorot rekan penulisnya. Klik dua kali untuk membuka halaman penulis.

  • Universitas Raharja
  • Satya Wacana Christian University
  • Afiliasi tidak diketahui
  • Organisasi berbeda
  • Organisasi sama
  • Afiliasi tidak diketahui
  • Garis lebih tebal = lebih banyak artikel bersama · lingkaran lebih besar = lebih banyak artikel
Tampilkan sebagai tabel
Rekan penulisOrganisasiArtikel bersama
Kawal AroraAfiliasi tidak diketahui3
Qurotul AiniUniversitas Raharja3
Roshan PrakashAfiliasi tidak diketahui2
Saksham ChaurasiaAfiliasi tidak diketahui2
Marviola HardiniAfiliasi tidak diketahui2
Nuke Puji Lestari SantosoUniversitas Raharja2
RahayuonoAfiliasi tidak diketahui1
Alifta LuthfiaazahraAfiliasi tidak diketahui1
Dewi ImmaniarAfiliasi tidak diketahui1
Nanda SeptianiAfiliasi tidak diketahui1
Nur AzizahAfiliasi tidak diketahui1
SulistiawatiAfiliasi tidak diketahui1
Mey AnggraeniAfiliasi tidak diketahui1
Datu MohammedAfiliasi tidak diketahui1
Srishti BiswasAfiliasi tidak diketahui1
Ritesh MishraAfiliasi tidak diketahui1
Megha UpretiAfiliasi tidak diketahui1
Chitra PandeyAfiliasi tidak diketahui1
Buphest RawatAfiliasi tidak diketahui1
Mukti BudiartoUniversitas Raharja1
Ari AsmawatiAfiliasi tidak diketahui1
Prakriti RashiAfiliasi tidak diketahui1
Wahyu Yustika PrihastiwiAfiliasi tidak diketahui1
Haryanto .Afiliasi tidak diketahui1
Siti MaesarohAfiliasi tidak diketahui1
Muhammad Rehan AnwarAfiliasi tidak diketahui1
Sugeng WidadaAfiliasi tidak diketahui1
R. Donny M. IskandarAfiliasi tidak diketahui1
Tatik MaryantiAfiliasi tidak diketahui1
Acep R. JayaprawiraAfiliasi tidak diketahui1
Irwan SembiringSatya Wacana Christian University1
Danny ManonggaSatya Wacana Christian University1
Untung RahardjaAfiliasi tidak diketahui1
Abdullah Achmad ZawawiAfiliasi tidak diketahui1
Greisy JacquelineAfiliasi tidak diketahui1

Afiliasi berasal dari OpenAlex; metadata OAI-PMH jurnal tidak memuatnya. Penulis tanpa ID OpenAlex dicocokkan berdasarkan nama, sehingga dua orang bisa tergabung atau satu orang bisa terpisah.

Sumber metadata: OAI-PMH (metadata jurnal) https://ijc.ilearning.co/ATM/oai, pertama di-harvest 6 Nov 2026, terakhir terlihat 6 Nov 2026.
Metadata asli (oai_dc) 
<oai_dc:dc xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/  http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
	<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>