|
1
|
Massagué J and Ganesh K:
Metastasis-initiating cells and ecosystems. Cancer Discov.
11:971–994. 2021.PubMed/NCBI View Article : Google Scholar
|
|
2
|
Lambert AW, Pattabiraman DR and Weinberg
RA: Emerging biological principles of metastasis. Cell.
168:670–691. 2017.PubMed/NCBI View Article : Google Scholar
|
|
3
|
Talmadge JE and Fidler IJ: AACR centennial
series: The biology of cancer metastasis: Historical perspective.
Cancer Res. 70:5649–5669. 2010.PubMed/NCBI View Article : Google Scholar
|
|
4
|
Harper KL, Sosa MS, Entenberg D, Hosseini
H, Cheung JF, Nobre R, Avivar-Valderas A, Nagi C, Girnius N, Davis
RJ, et al: Mechanism of early dissemination and metastasis in Her2+
mammary cancer. Nature. 540:588–592. 2016.PubMed/NCBI View Article : Google Scholar
|
|
5
|
Hosseini H, Obradović MMS, Hoffmann M,
Harper KL, Sosa MS, Werner-Klein M, Nanduri LK, Werno C, Ehrl C,
Maneck M, et al: Early dissemination seeds metastasis in breast
cancer. Nature. 540:552–558. 2016.PubMed/NCBI View Article : Google Scholar
|
|
6
|
Hu Z and Curtis C: Looking backward in
time to define the chronology of metastasis. Nat Commun.
11(3213)2020.PubMed/NCBI View Article : Google Scholar
|
|
7
|
Friberg S and Nyström A: Cancer
metastases: Early dissemination and late recurrences. Cancer Growth
Metastasis. 8:43–49. 2015.PubMed/NCBI View Article : Google Scholar
|
|
8
|
Daily K, Douglas E, Romitti PA and Thomas
A: Epidemiology of de novo metastatic breast cancer. Clin Breast
Cancer. 21:302–308. 2021.PubMed/NCBI View Article : Google Scholar
|
|
9
|
Cardoso MJ and Mokbel K: Locoregional
therapy in de novo metastatic breast cancer. The unanswered
question. Breast. 58:170–172. 2021.PubMed/NCBI View Article : Google Scholar
|
|
10
|
Daniels J, Amunyela OI, Nyantakyi AY,
Ayabilah EA, Tackie JNO and Kyei KA: Prevalence and
clinicopathological characteristics of de novo metastatic cancer at
a major radiotherapy centre in West Africa: A cross-sectional
study. Ecancermedicalscience. 18(1805)2024.PubMed/NCBI View Article : Google Scholar
|
|
11
|
Liu K, Huang AL, Chen XQ and Wu SG:
Patterns of distant metastasis and survival outcomes in de novo
metastatic breast cancer according to age groups. Front Endocrinol
(Lausanne). 15(1385756)2024.PubMed/NCBI View Article : Google Scholar
|
|
12
|
Lim J, Onozawa M, Saad M and Ong TA: A-CaP
(Asian Prostate Cancer) Study; J-CaP (Japan Prostate Cancer Study
Group), M-CaP (Malaysia Prostate Cancer Study Group). Malek R and
Akaza H: Recent trend of androgen deprivation therapy in newly
diagnosed prostate cancer patients: Comparing between high- and
middle-income Asian countries. Cancer Sci. 112:2071–2080.
2021.PubMed/NCBI View Article : Google Scholar
|
|
13
|
Okifo FO, Tuoyire DA, Appiah AB, Debrah
SY, Morna MT and Duda RB: Breast cancer treatment and outcomes at
Cape Coast Teaching Hospital, Ghana. Ghana Med J. 55:190–197.
2021.PubMed/NCBI View Article : Google Scholar
|
|
14
|
Oskarsson T, Batlle E and Massagué J:
Metastatic stem cells: Sources, niches, and vital pathways. Cell
Stem Cell. 14:306–321. 2014.PubMed/NCBI View Article : Google Scholar
|
|
15
|
Ganesh K and Massagué J: Targeting
metastatic cancer. Nat Med. 27:34–44. 2021.PubMed/NCBI View Article : Google Scholar
|
|
16
|
Bertrand N, Wu J, Xu X, Kamaly N and
Farokhzad OC: Cancer nanotechnology: The impact of passive and
active targeting in the era of modern cancer biology. Adv Drug
Deliv Rev. 66:2–25. 2014.PubMed/NCBI View Article : Google Scholar
|
|
17
|
Valiente M, Obenauf AC, Jin X, Chen Q,
Zhang XHF, Lee DJ, Chaft JE, Kris MG, Huse JT, Brogi E and Massagué
J: Serpins promote cancer cell survival and vascular co-option in
brain metastasis. Cell. 156:1002–1016. 2014.PubMed/NCBI View Article : Google Scholar
|
|
18
|
Esposito M, Ganesan S and Kang Y: Emerging
strategies for treating metastasis. Nat Cancer. 2:258–270.
2021.PubMed/NCBI View Article : Google Scholar
|
|
19
|
Gerlowski LE and Jain RK: Microvascular
permeability of normal and neoplastic tissues. Microvasc Res.
31:288–305. 1986.PubMed/NCBI View Article : Google Scholar
|
|
20
|
Winer A, Adams S and Mignatti P: Matrix
metalloproteinase inhibitors in cancer therapy: Turning past
failures into future successes. Mol Cancer Ther. 17:1147–1155.
2018.PubMed/NCBI View Article : Google Scholar
|
|
21
|
Matsumura Y and Maeda H: A new concept for
macromolecular therapeutics in cancer chemotherapy: Mechanism of
tumoritropic accumulation of proteins and the antitumor agent
smancs. Cancer Res. 46:6387–6392. 1986.PubMed/NCBI
|
|
22
|
Maeda H: Toward a full understanding of
the EPR effect in primary and metastatic tumors as well as issues
related to its heterogeneity. Adv Drug Deliv Rev. 91:3–6.
2015.PubMed/NCBI View Article : Google Scholar
|
|
23
|
Risson E, Nobre AR, Maguer-Satta V and
Aguirre-Ghiso JA: The current paradigm and challenges ahead for the
dormancy of disseminated tumor cells. Nat Cancer. 1:672–680.
2020.PubMed/NCBI View Article : Google Scholar
|
|
24
|
Turajlic S and Swanton C: Metastasis as an
evolutionary process. Science. 352:169–175. 2016.PubMed/NCBI View Article : Google Scholar
|
|
25
|
Hunter KW, Amin R, Deasy S, Ha NH and
Wakefield L: Genetic insights into the morass of metastatic
heterogeneity. Nat Rev Cancer. 18:211–223. 2018.PubMed/NCBI View Article : Google Scholar
|
|
26
|
Ring A, Nguyen-Sträuli BD, Wicki A and
Aceto N: Biology, vulnerabilities and clinical applications of
circulating tumour cells. Nat Rev Cancer. 23:95–111.
2023.PubMed/NCBI View Article : Google Scholar
|
|
27
|
Seferbekova Z, Lomakin A, Yates LR and
Gerstung M: Spatial biology of cancer evolution. Nat Rev Genet.
24:295–313. 2023.PubMed/NCBI View Article : Google Scholar
|
|
28
|
Shi J, Kantoff PW, Wooster R and Farokhzad
OC: Cancer nanomedicine: Progress, challenges and opportunities.
Nat Rev Cancer. 17:20–37. 2017.PubMed/NCBI View Article : Google Scholar
|
|
29
|
Wu T and Dai Y: Tumor microenvironment and
therapeutic response. Cancer Lett. 387:61–68. 2017.PubMed/NCBI View Article : Google Scholar
|
|
30
|
Ramgolam K, Lauriol J, Lalou C, Lauden L,
Michel L, de la Grange P, Khatib AM, Aoudjit F, Charron D,
Alcaide-Loridan C and Al-Daccak R: Melanoma spheroids grown under
neural crest cell conditions are highly plastic migratory/invasive
tumor cells endowed with immunomodulator function. PLoS One.
6(e18784)2011.PubMed/NCBI View Article : Google Scholar
|
|
31
|
Tang X, Huang Y, Lei J, Luo H and Zhu X:
The single-cell sequencing: New developments and medical
applications. Cell Biosci. 9(53)2019.PubMed/NCBI View Article : Google Scholar
|
|
32
|
Menéndez N and Bozkir E: Eye-tracking
devices for virtual and augmented reality metaverse environments
and their compatibility with the European union general data
protection regulation. Digit Soc. 3(39)2024.
|
|
33
|
Ro YK, Brem A and Rauschnabel PA:
Augmented Reality Smart Glasses: Definition, Concepts and Impact on
Firm Value Creation. In: Jung T, tom Dieck MC, editors. Augmented
Reality and Virtual Reality: Empowering Human, Place and Business
[Internet]. Cham: Springer International Publishing; 2018 [cited
2025 Feb 18]. p. 169-81. Available from: https://doi.org/10.1007/978-3-319-64027-3_12.
|
|
34
|
Ramesh AN, Kambhampati C, Monson JRT and
Drew PJ: Artificial intelligence in medicine. Ann R Coll Surg Engl.
86:334–348. 2004.PubMed/NCBI View Article : Google Scholar
|
|
35
|
Cabral BP, Braga LAM, Syed-Abdul S and
Mota FB: Future of artificial intelligence applications in cancer
care: A global cross-sectional survey of researchers. Curr Oncol.
30:3432–3446. 2023.PubMed/NCBI View Article : Google Scholar
|
|
36
|
Udegbe F, Ebulue O, Ebulue C and Ekesiobi
C: The role of artificial intelligence in healthcare: A systematic
review of applications and challengeS. Int Med Sci Res J.
4:500–508. 2024.
|
|
37
|
Aftab M, Mehmood F, Zhang C, Nadeem A,
Dong Z, Jiang Y and Liu K: AI in oncology: Transforming cancer
detection through machine learning and deep learning applications
[Internet]. arXiv; 2025 [cited 2025 Feb 2]. Available from:
http://arxiv.org/abs/2501.15489.
|
|
38
|
Okeke M: Artificial intelligence and
machine learning in oncology: Historical overview of documents
indexed in the web of science database. Eurasian J Med Oncol 1:
doi.org/10.14744/EJMO.2021.24856,
2021.
|
|
39
|
Zhang C, Xu J, Tang R, Yang J, Wang W, Yu
X and Shi S: Novel research and future prospects of artificial
intelligence in cancer diagnosis and treatment. J Hematol Oncol.
16(114)2023.PubMed/NCBI View Article : Google Scholar
|
|
40
|
Song AH, Jaume G, Williamson DFK, Lu MY,
Vaidya A, Miller TR and Mahmood F: Artificial intelligence for
digital and computational pathology. Nat Rev Bioeng. 1:930–949.
2023.
|
|
41
|
Shafi S and Parwani AV: Artificial
intelligence in diagnostic pathology. Diagn Pathol.
18(109)2023.PubMed/NCBI View Article : Google Scholar
|
|
42
|
Rakha EA, Toss M, Shiino S, Gamble P,
Jaroensri R, Mermel CH and Chen PC: Current and future applications
of artificial intelligence in pathology: A clinical perspective. J
Clin Pathol. 74:409–414. 2021.PubMed/NCBI View Article : Google Scholar
|
|
43
|
Huang S, Yang J, Fong S and Zhao Q:
Artificial intelligence in cancer diagnosis and prognosis:
Opportunities and challenges. Cancer Lett. 471:61–71.
2020.PubMed/NCBI View Article : Google Scholar
|
|
44
|
Rana MS and Shuford J: AI in Healthcare:
Transforming patient care through predictive analytics and decision
support systems. J Artif Intell Gen Sci. 1(1)2024.
|
|
45
|
Hossain S, Ahmed A, Khadka U, Sarkar S and
Khan N: AI-driven predictive analytics, healthcare outcomes, cost
reduction, machine learning, patient monitoring. Int J Multidiscip
Res. 2(5)2024.
|
|
46
|
Torrente M, Sousa PA, Hernández R, Blanco
M, Calvo V, Collazo A, Guerreiro GR, Núñez B, Pimentao J, Sánchez
JC, et al: An artificial intelligence-based tool for data analysis
and prognosis in cancer patients: Results from the clarify study.
Cancers (Basel). 14(4041)2022.PubMed/NCBI View Article : Google Scholar
|
|
47
|
Gaur K and Jagtap MM: Role of artificial
intelligence and machine learning in prediction, diagnosis, and
prognosis of cancer. Cureus. 14(e31008)2022.PubMed/NCBI View Article : Google Scholar
|
|
48
|
Botha NN, Segbedzi CE, Dumahasi VK, Maneen
S, Kodom RV, Tsedze IS, Akoto LA, Atsu FS, Lasim OU and Ansah EW:
Artificial intelligence in healthcare: A scoping review of
perceived threats to patient rights and safety. Arch Public Health.
82(188)2024.PubMed/NCBI View Article : Google Scholar
|
|
49
|
Obermeyer Z, Powers B, Vogeli C and
Mullainathan S: Dissecting racial bias in an algorithm used to
manage the health of populations. Science. 366:447–453.
2019.PubMed/NCBI View Article : Google Scholar
|
|
50
|
Fischer J, Neff M, Freudenstein D and
Bartz D: Medical augmented reality based on commercial image guided
surgery. EGVE'04: Proceedings of the Tenth Eurographics conference
on Virtual Environments, Pages 83-86, 2024. https://doi.org/10.2312/EGVE/EGVE04/083-086.
|
|
51
|
Azuma RT: A survey of augmented reality.
Presence Teleoper Virtual Env. 6:355–385. 1997.
|
|
52
|
Taghian A, Abo-Zahhad M, Sayed MS and Abd
El-Malek AH: Virtual and augmented reality in biomedical
engineering. Biomed Eng Online. 22(7)2023.PubMed/NCBI View Article : Google Scholar
|
|
53
|
Żydowicz WM, Skokowski J, Marano L and
Polom K: Current trends and beyond conventional approaches:
Advancements in breast cancer surgery through three-dimensional
imaging, virtual reality, augmented reality, and the emerging
metaverse. J Clin Med. 13(915)2024.PubMed/NCBI View Article : Google Scholar
|
|
54
|
Eckert M, Volmerg JS and Friedrich CM:
Augmented reality in medicine: Systematic and bibliographic review.
JMIR MHealth UHealth. 7(e10967)2019.PubMed/NCBI View
Article : Google Scholar
|
|
55
|
Carmigniani J and Furht B: Augmented
reality: An overview. In: Furht B, editor. Handbook of Augmented
Reality [Internet]. New York, NY: Springer; 2011 [cited 2025 Feb
18]. p. 3-46. Available from: https://doi.org/10.1007/978-1-4614-0064-6_1.
|
|
56
|
Milgram P, Takemura H, Utsumi A and
Kishino F: Augmented reality: A class of displays on the
reality-virtuality continuum. Telemanipul Telepresence Technol.
2351:282–292. 1994.
|
|
57
|
Zuo G, Wang R, Wan C, Zhang Z, Zhang S and
Yang W: Unveiling the evolution of virtual reality in medicine: A
bibliometric analysis of research hotspots and trends over the past
12 years. Healthcare (Basel). 12(1266)2024.PubMed/NCBI View Article : Google Scholar
|
|
58
|
Zhao Z, Poyhonen J, Cai XC, Hooper FS, Ma
Y, Hu Y, Ren H, Song W and Tse ZT: Augmented reality technology in
image-guided therapy: State-of-the-art review. Proc Inst Mech Eng.
235:1386–1398. 2021.PubMed/NCBI View Article : Google Scholar
|
|
59
|
Montemurro N, Condino S, Carbone M,
Cattari N, D'Amato R, Cutolo F and Ferrari V: Brain tumor and
augmented reality: New technologies for the future. Int J Environ
Res Public Health. 19(6347)2022.PubMed/NCBI View Article : Google Scholar
|
|
60
|
Lecoutre A, Vasseur M, Courtin J, Hammadi
S, Decaudin B and Pascal O: A prospective, single-centre study of
the feasibility of the use of augmented reality for improving the
safety and traceability of injectable investigational cancer drug
compounding. Heliyon. 10(e32683)2024.PubMed/NCBI View Article : Google Scholar
|
|
61
|
Prasad K, Miller A, Sharif K, Colazo JM,
Ye W, Necker F, Baik F, Lewis JS Jr, Rosenthal E, Wu JY and Topf
MC: Augmented-reality surgery to guide head and neck cancer
re-resection: A feasibility and accuracy study. Ann Surg Oncol.
30:4994–5000. 2023.PubMed/NCBI View Article : Google Scholar
|
|
62
|
Gouveia PF, Costa J, Morgado P, Kates R,
Pinto D, Mavioso C, Anacleto J, Martinho M, Lopes DS, Ferreira AR,
et al: Breast cancer surgery with augmented reality. Breast.
56:14–17. 2021.PubMed/NCBI View Article : Google Scholar
|
|
63
|
Corsi F, Sorrentino L, Bossi D, Sartani A
and Foschi D: Preoperative localization and surgical margins in
conservative breast surgery. Int J Surg Oncol.
2013(793819)2013.PubMed/NCBI View Article : Google Scholar
|
|
64
|
Guerroudji MA, Amara K, Lichouri M, Zenati
N and Masmoudi M: A 3D visualization-based augmented reality
application for brain tumor segmentation. Comput Animat Virtual
Worlds. 35(e2223)2024.
|
|
65
|
Chopra H, Munjal K, Arora S, Bibi S and
Biswas P: Role of augmented reality in surgery: Editorial. Int J
Surg. 110:2526–2528. 2024.PubMed/NCBI View Article : Google Scholar
|
|
66
|
Ramalhinho J, Yoo S, Dowrick T, Koo B,
Somasundaram M, Gurusamy K, Hawkes DJ, Davidson B, Blandford A and
Clarkson MJ: The value of augmented reality in surgery-a usability
study on laparoscopic liver surgery. Med Image Anal.
90(102943)2023.PubMed/NCBI View Article : Google Scholar
|
|
67
|
Pérez-Pachón L, Poyade M, Lowe T and
Gröning F: Image overlay surgery based on augmented reality: A
systematic review. Adv Exp Med Biol. 1260:175–195. 2020.PubMed/NCBI View Article : Google Scholar
|
|
68
|
Sparwasser P, Haack M, Epple S, Frey L,
Zeymer S, Dotzauer R, Jungmann F, Böhm K, Höfner T, Tsaur I, et al:
Smartglass augmented reality-assisted targeted prostate biopsy
using cognitive point-of-care fusion technology. Int J Med Robot.
18(e2366)2022.PubMed/NCBI View Article : Google Scholar
|
|
69
|
Bettati A, Chalian M, Huang J, Dormer JD,
Shahedi M and Fei B: Augmented reality-assisted biopsy of soft
tissue lesions. Proc SPIE Int Soc Opt Eng.
11315(113150W)2020.PubMed/NCBI View Article : Google Scholar
|
|
70
|
Bettati P, Young J, Rathgeb A, Nawawithan
N, Gahan J, Johnson B, Aspenleiter R, Browne F, Chaudhari A, Guin
A, et al: An augmented reality-guided biopsy system using a
high-speed motion tracking and real-time registration platform.
Proc SPIE Int Soc Opt Eng. 12928(129281G)2024.PubMed/NCBI View Article : Google Scholar
|
|
71
|
Benbelkacem S, Zenati-Henda N, Zerrouki N,
Oulefki A, Agaian S, Masmoudi M, Bentaleb A and Liew A: Tumor lung
visualization and localization through virtual reality and thermal
feedback interface. Diagnostics (Basel). 13(567)2023.PubMed/NCBI View Article : Google Scholar
|
|
72
|
Ntourakis D, Memeo R, Soler L, Marescaux
J, Mutter D and Pessaux P: Augmented reality guidance for the
resection of missing colorectal liver metastases: An initial
experience. World J Surg. 40:419–426. 2016.PubMed/NCBI View Article : Google Scholar
|
|
73
|
Carl B, Bopp M, Saß B, Pojskic M and
Nimsky C: Augmented reality in intradural spinal tumor surgery.
Acta Neurochir (Wien). 161:2181–2193. 2019.PubMed/NCBI View Article : Google Scholar
|
|
74
|
Gerard IJ, Kersten-Oertel M, Drouin S,
Hall JA, Petrecca K, De Nigris D, Di Giovanni DA, Arbel T and
Collins DL: Combining intraoperative ultrasound brain shift
correction and augmented reality visualizations: A pilot study of
eight cases. J Med Imaging (Bellingham). 5(021210)2018.PubMed/NCBI View Article : Google Scholar
|
|
75
|
Sun GC, Wang F, Chen XL, Yu XG, Ma XD,
Zhou DB, Zhu RY and Xu BN: Impact of virtual and augmented reality
based on intraoperative magnetic resonance imaging and functional
neuronavigation in glioma surgery involving eloquent areas. World
Neurosurg. 96:375–382. 2016.PubMed/NCBI View Article : Google Scholar
|
|
76
|
Montemurro N, Condino S, Cattari N,
D'Amato R, Ferrari V and Cutolo F: Augmented reality-assisted
craniotomy for parasagittal and convexity en plaque meningiomas and
custom-made cranio-plasty: A preliminary laboratory report. Int J
Environ Res Public Health. 18(9955)2021.PubMed/NCBI View Article : Google Scholar
|
|
77
|
Wake N, Rosenkrantz AB, Huang R, Park KU,
Wysock JS, Taneja SS, Huang DC, Sodickson DK and Chandarana H:
Patient-specific 3D printed and augmented reality kidney and
prostate cancer models: Impact on patient education. 3D Print Med.
5(4)2019.PubMed/NCBI View Article : Google Scholar
|
|
78
|
Wang LJ, Casto B, Reyes-Molyneux N, Chance
WW and Wang SJ: Smartphone-based augmented reality patient
education in radiation oncology. Tech Innov Patient Support Radiat
Oncol. 29(100229)2024.PubMed/NCBI View Article : Google Scholar
|
|
79
|
Tait AR, Connally L, Doshi A, Johnson A,
Skrzpek A, Grimes M, Becher A, Choi JE and Weber M: Development and
evaluation of an augmented reality education program for pediatric
research. J Clin Transl Res. 5:96–101. 2020.PubMed/NCBI
|
|
80
|
Brown HM, Collins CE, Bucher T and Rollo
ME: Evaluation of the effectiveness and usability of an educational
portion size tool, ServARpreg, for pregnant women. J Hum Nutr Diet.
32:719–727. 2019.PubMed/NCBI View Article : Google Scholar
|
|
81
|
Miller CA, Locke RA, Holck HW, Evans HJ,
Bhamber TP, Sinks AL, McGrath LG, Boselli DM, Clark PE and Roy OP:
Evaluation of a novel augmented reality educational tool and its
effects on patient experience: A randomized controlled trial.
Indian J Urol. 40:25–30. 2024.PubMed/NCBI View Article : Google Scholar
|
|
82
|
Elsakka A, Park BJ, Marinelli B, Swinburne
NC and Schefflein J: Virtual and augmented reality in
interventional radiology: Current applications, challenges, and
future directions. Tech Vasc Interv Radiol.
26(100919)2023.PubMed/NCBI View Article : Google Scholar
|
|
83
|
Roethe AL, Rösler J, Misch M, Vajkoczy P
and Picht T: Augmented reality visualization in brain lesions: A
prospective randomized controlled evaluation of its potential and
current limitations in navigated microneurosurgery. Acta Neurochir
(Wien). 164:3–14. 2022.PubMed/NCBI View Article : Google Scholar
|
|
84
|
Bergin AD and Craven MP: Virtual,
augmented, mixed, and extended reality interventions in healthcare:
A systematic review of health economic evaluations and
cost-effectiveness. BMC Digital Health. 1(53)2023.
|
|
85
|
Gsaxner C, Pepe A, Li J, Ibrahimpasic U,
Wallner J, Schmalstieg D and Egger J: Augmented reality for head
and neck carcinoma imaging: Description and feasibility of an
instant calibration, markerless approach. Comput Methods Programs
Biomed. 200(105854)2021.PubMed/NCBI View Article : Google Scholar
|
|
86
|
Shi H, Cao G, Ma G, Duan J, Bai J and Meng
X: New progress in artificial intelligence algorithm research based
on big data processing of IOT systems on intelligent production
lines. Comput Intell Neurosci. 2022(3283165)2022.PubMed/NCBI View Article : Google Scholar
|
|
87
|
Xiong J, Hsiang EL, He Z, Zhan T and Wu
ST: Augmented reality and virtual reality displays: Emerging
technologies and future perspectives. Light Sci Appl.
10(216)2021.PubMed/NCBI View Article : Google Scholar
|
|
88
|
Bueno H, Moura B, Lancellotti P and
Bauersachs J: The year in cardiovascular medicine 2020: Heart
failure and cardiomyopathies. Eur Heart J. 42:657–670.
2021.PubMed/NCBI View Article : Google Scholar
|
|
89
|
Bernhardt S, Nicolau SA, Soler L and
Doignon C: The status of augmented reality in laparoscopic surgery
as of 2016. Med Image Anal. 37:66–90. 2017.PubMed/NCBI View Article : Google Scholar
|
|
90
|
Hoevers M: The potential of augmented
reality glasses in the practice of street policing: An experimental
study among Dutch (Mounted) Police Officers-University of Twente
Student Theses [Internet]. [cited 2025 Feb 18]. Available from:
https://essay.utwente.nl/86103/.
|
|
91
|
Apostolakis KC, Dimitriou N, Margetis G,
Ntoa S, Tzovaras D and Stephanidis C: DARLENE-Improving situational
awareness of European law enforcement agents through a combination
of augmented reality and artificial intelligence solutions. Open
Res Eur. 1(87)2021.PubMed/NCBI View Article : Google Scholar
|
|
92
|
Beams R, Brown E, Cheng WC, Joyner JS, Kim
AS, Kontson K, Amiras D, Baeuerle T, Greenleaf W, Grossmann RJ, et
al: Evaluation challenges for the application of extended reality
devices in medicine. J Digit Imaging. 35:1409–1418. 2022.PubMed/NCBI View Article : Google Scholar
|
|
93
|
Zagury-Orly I, Solinski MA, Nguyen LH,
Young M, Drozdowski V, Bain PA and Gantwerker EA: What is the
current state of extended reality use in otolaryngology training? A
scoping review. Laryngoscope. 133:227–234. 2023.PubMed/NCBI View Article : Google Scholar
|
|
94
|
Moussa AM and Ziv E: Radiogenomics in
interventional oncology. Curr Oncol Rep. 23(9)2021.PubMed/NCBI View Article : Google Scholar
|
|
95
|
Nardone V, Marmorino F, Germani MM,
Cichowska-Cwalińska N, Menditti VS, Gallo P, Taravella A, Landi M,
Reginelli A, Cappabianca S, et al: The role of artificial
intelligence on tumor boards: Perspectives from Surgeons, medical
oncologists and radiation oncologists. Curr Oncol. 31:4984–5007.
2024.PubMed/NCBI View Article : Google Scholar
|
|
96
|
Chen PHC, Gadepalli K, MacDonald R, Liu Y,
Kadowaki S, Nagpal K, Kohlberger T, Dean J, Corrado GS, Hipp JD, et
al: An augmented reality microscope with real-time artificial
intelligence integration for cancer diagnosis. Nat Med.
25:1453–1457. 2019.PubMed/NCBI View Article : Google Scholar
|
|
97
|
Hagen J, Hornung L, Barham W, Mukhopadhyay
S, Bess A, Contrera K, Basu D, Sandulache V, Spielmann G and
Kansara S: Artificial intelligence in head and neck cancer: Towards
precision medicine. Cancers (Basel). 17(3023)2025.PubMed/NCBI View Article : Google Scholar
|
|
98
|
Yeung AWK, Tosevska A, Klager E,
Eibensteiner F, Laxar D, Stoyanov J, Glisic M, Zeiner S, Kulnik ST,
Crutzen R, et al: Virtual and augmented reality applications in
medicine: Analysis of the scientific literature. J Med Internet
Res. 23(e25499)2021.PubMed/NCBI View
Article : Google Scholar
|
|
99
|
Teber D, Guven S, Simpfendörfer T,
Baumhauer M, Güven EO, Yencilek F, Gözen AS and Rassweiler J:
Augmented reality: A new tool to improve surgical accuracy during
laparoscopic partial nephrectomy? Preliminary in vitro and in vivo
results. Eur Urol. 56:332–338. 2009.PubMed/NCBI View Article : Google Scholar
|
|
100
|
Seah J, Boeken T, Sapoval M and Goh GS:
Prime time for artificial intelligence in interventional radiology.
Cardiovasc Intervent Radiol. 45:283–289. 2022.PubMed/NCBI View Article : Google Scholar
|
|
101
|
Gurgitano M, Angileri SA, Rodà GM, Liguori
A, Pandolfi M, Ierardi AM, Wood BJ and Carrafiello G:
Interventional Radiology ex-machina: Impact of artificial
intelligence on practice. Radiol Med. 126:998–1006. 2021.PubMed/NCBI View Article : Google Scholar
|
|
102
|
LeCun Y, Bengio Y and Hinton G: Deep
learning. Nature. 521:436–444. 2015.PubMed/NCBI View Article : Google Scholar
|
|
103
|
Keyl J, Keyl P, Montavon G, Hosch R,
Brehmer A, Mochmann L, Jurmeister P, Dernbach G, Kim M, Koitka S,
et al: Decoding pan-cancer treatment outcomes using multimodal
real-world data and explainable artificial intelligence. Nat
Cancer. 6:307–322. 2025.PubMed/NCBI View Article : Google Scholar
|
|
104
|
Niu PH, Zhao LL, Wu HL, Zhao DB and Chen
YT: Artificial intelligence in gastric cancer: Application and
future perspectives. World J Gastroenterol. 26:5408–5419.
2020.PubMed/NCBI View Article : Google Scholar
|
|
105
|
Ren Y, Yang Y, Chen J, Zhou Y, Li J, Xia
R, Yang Y, Wang Q and Su X: A scoping review of deep learning in
cancer nursing combined with augmented reality: The era of
intelligent nursing is coming. Asia Pac J Oncol Nurs.
9(100135)2022.PubMed/NCBI View Article : Google Scholar
|
|
106
|
Zheng ZY, Chen T and Liu YB: Application
and prospect of artificial intelligence in pancreatic cancer.
Zhonghua Wai Ke Za Zhi. 61:76–80. 2023.PubMed/NCBI View Article : Google Scholar : (In Chinese).
|
|
107
|
Carter SM, Rogers W, Win KT, Frazer H,
Richards B and Houssami N: The ethical, legal and social
implications of using artificial intelligence systems in breast
cancer care. Breast. 49:25–32. 2020.PubMed/NCBI View Article : Google Scholar
|
|
108
|
Haykal D, Cartier H and Flament F: A
psychosocial exploration of augmented reality and virtual reality
apps in cosmetic procedures. J Cosmet Dermatol. 23:3863–3870.
2024.PubMed/NCBI View Article : Google Scholar
|
|
109
|
Panch T, Mattie H and Atun R: Artificial
intelligence and algorithmic bias: Implications for health systems.
J Glob Health. 9(010318)2019.PubMed/NCBI View Article : Google Scholar
|
|
110
|
US Food and Drug Administration: Medical
Device Data Systems, Medical Image Storage Devices, and Medical
Image Communications Devices]. September, 2022. FDA-2014-D-0798.
Available from: https://www.fda.gov/regulatory-information/search-fda-guidance-documents/medical-device-data-systems-medical-image-storage-devices-and-medical-image-communications-devices.
Accessed February 18, 2025.
|
|
111
|
Coleman K: Healthcare AI Regulation:
Guidelines for Maintaining Public Safety and Innovation [Internet].
Paragon Health Institute. 2024 [cited 2025 Feb 18]. Available from:
https://paragoninstitute.org/private-health/healthcare-ai-regulation/.
|
|
112
|
Khan MS, Umer H and Faruqe F: Artificial
intelligence for low income countries. Humanit Soc Sci Commun.
11(1422)2024.
|
|
113
|
Mollura DJ, Culp MP, Pollack E, Battino G,
Scheel JR, Mango VL, Elahi A, Schweitzer A and Dako F: Artificial
intelligence in low- and middle-income countries: Innovating global
health radiology. Radiology. 297:513–520. 2020.PubMed/NCBI View Article : Google Scholar
|
|
114
|
Saeed SA and Masters RM: Disparities in
health care and the digital divide. Curr Psychiatry Rep.
23(61)2021.PubMed/NCBI View Article : Google Scholar
|
|
115
|
Ono GN, Obi EC, Chiaghana C and Ezegwu D:
Digital divide and access: Addressing disparities in artificial
intelligence (Ai) health information for nigerian rural
communities. Soc Sci Res [Internet]. 2024 Sep 3 [cited 2025 Feb
18];10(3). Available from: https://journals.aphriapub.com/index.php/SSR/article/view/2755.
|
|
116
|
Bousis D, Verras GI, Bouchagier K,
Antzoulas A, Panagiotopoulos I, Katinioti A, Kehagias D, Kaplanis
C, Kotis K, Anagnostopoulos CN and Mulita F: The role of deep
learning in diagnosing colorectal cancer. Prz Gastroenterol.
18:266–273. 2023.PubMed/NCBI View Article : Google Scholar
|
|
117
|
Chlorogiannis DD, Verras GI, Tzelepi V,
Chlorogiannis A, Apostolos A, Kotis K, Anagnostopoulos CN,
Antzoulas A, Davakis S, Vailas M, et al: Tissue classification and
diagnosis of colorectal cancer histopathology images using deep
learning algorithms. Is the time ripe for clinical practice
implementation? Prz Gastroenterol. 18:353–367. 2023.PubMed/NCBI View Article : Google Scholar
|
|
118
|
Mulita F, Verras GI, Anagnostopoulos CN
and Kotis K: A smarter health through the internet of surgical
things. Sensors (Basel). 22(4577)2022.PubMed/NCBI View Article : Google Scholar
|
|
119
|
Alawida M, Omolara AE, Abiodun OI and
Al-Rajab M: A deeper look into cybersecurity issues in the wake of
Covid-19: A survey. J King Saud Univ Comput Inf Sci. 34:8176–8206.
2022.PubMed/NCBI View Article : Google Scholar
|
|
120
|
Joerg L, Kabakova M, Wang JY, Austin E,
Cohen M, Kurtti A and Jagdeo J: AI-generated dermatologic images
show deficient skin tone diversity and poor diagnostic accuracy: An
experimental study. J Eur Acad Dermatol Venereol. 39:2134–2141.
2025.PubMed/NCBI View Article : Google Scholar
|
