|
1
|
Davenport T and Kalakota R: The potential
for artificial intelligence in healthcare. Future Healthc J.
6:94–98. 2019.PubMed/NCBI View Article : Google Scholar
|
|
2
|
Muthukrishnan N, Maleki F, Ovens K,
Reinhold C, Forghani B and Forghani R: Brief History of Artificial
Intelligence. Neuroimaging Clin N Am. 30:393–399. 2020.PubMed/NCBI View Article : Google Scholar
|
|
3
|
Fogel AL and Kvedar JC: Artificial
intelligence powers digital medicine. NPJ Digit Med.
1(5)2018.PubMed/NCBI View Article : Google Scholar
|
|
4
|
Yu KH, Beam AL and Kohane IS: Artificial
intelligence in healthcare. Nat Biomed Eng. 2:719–731.
2018.PubMed/NCBI View Article : Google Scholar
|
|
5
|
Rajpurkar P, Chen E, Banerjee O and Topol
EJ: AI in health and medicine. Nat Med. 28:31–38. 2022.PubMed/NCBI View Article : Google Scholar
|
|
6
|
Polevikov S: Advancing AI in healthcare: A
comprehensive review of best practices. Clin Chim Acta.
548(117519)2023.PubMed/NCBI View Article : Google Scholar
|
|
7
|
Jiang F, Jiang Y, Zhi H, Dong Y, Li H, Ma
S and Wang Y, Dong Q, Shen H and Wang Y: Artificial intelligence in
healthcare: Past, present and future. Stroke Vasc Neurol.
2:230–243. 2017.PubMed/NCBI View Article : Google Scholar
|
|
8
|
Goirand M, Austin E and Clay-Williams R:
Implementing ethics in healthcare Ai-based applications: A scoping
review. Sci Eng Ethics. 27(61)2021.PubMed/NCBI View Article : Google Scholar
|
|
9
|
Conn J: Computing better healthcare.
Modern Healthcare, 2013.
|
|
10
|
Aung YYM, Wong DCS and Ting DSW: The
promise of artificial intelligence: A review of the opportunities
and challenges of artificial intelligence in healthcare. Br Med
Bull. 139:4–15. 2021.PubMed/NCBI View Article : Google Scholar
|
|
11
|
Mintz Y and Brodie R: Introduction to
artificial intelligence in medicine. Minim Invasive Ther Allied
Technol. 28:73–81. 2019.PubMed/NCBI View Article : Google Scholar
|
|
12
|
Alowais SA, Alghamdi SS, Alsuhebany N,
Alqahtani T, Alshaya AI, Almohareb SN, Aldairem A, Alrashed M, Bin
Saleh K, Badreldin HA, et al: Revolutionizing healthcare: The role
of artificial intelligence in clinical practice. BMC Med Educ.
23(689)2023.PubMed/NCBI View Article : Google Scholar
|
|
13
|
Patel D and Kore SA: Artificial
intelligence: future impacts, challenges and recommendations on
healthcare services. Int J Community Med Public Health.
7:1596–1598. 2020.
|
|
14
|
Triantafillou G and Minas MY: Future of
the Artificial Intelligence in Daily Health Applications. The
European Journal of Social & Behavioural Sciences 29, 2020.
|
|
15
|
Mondal B: Artificial Intelligence: State
of the Art. In: Recent Trends and Advances in Artificial
Intelligence and Internet of Things. Intelligent Systems Reference
Library. Balas V, Kumar R and Srivastava R (eds). Vol 172.
Springer, Cham, 2020.
|
|
16
|
Mintz Y and Brodie R: Introduction to
artificial intelligence in medicine. Minim Invasive Ther Allied
Technol. 28:73–81. 2019.PubMed/NCBI View Article : Google Scholar
|
|
17
|
Giger ML: Machine Learning in Medical
Imaging. J Am Coll Radiol. 15 (3 Pt B):512–520. 2018.PubMed/NCBI View Article : Google Scholar
|
|
18
|
Choi KS: Integrating artificial
intelligence into healthcare research. Hu Li Za Zhi. 67:12–18.
2020.PubMed/NCBI View Article : Google Scholar : (In Chinese).
|
|
19
|
Torkamani A, Andersen KG, Steinhubl SR and
Topol EJ: High-Definition Medicine. Cell. 170:828–843.
2017.PubMed/NCBI View Article : Google Scholar
|
|
20
|
Esteva A, Robicquet A, Ramsundar B,
Kuleshov V, DePristo M, Chou K, Cui C, Corrado G, Thrun S and Dean
J: A guide to deep learning in healthcare. Nat Med. 25:24–29.
2019.PubMed/NCBI View Article : Google Scholar
|
|
21
|
Abràmoff MD, Lavin PT, Birch M, Shah N and
Folk JC: Pivotal trial of an autonomous AI-based diagnostic system
for detection of diabetic retinopathy in primary care offices. NPJ
Digit Med. 1(39)2018.PubMed/NCBI View Article : Google Scholar
|
|
22
|
Ranjbari D and Abbasgholizadeh Rahimi S:
Implications of conscious AI in primary healthcare. Fam Med
Community Health. 12 (Suppl 1). (e002625)2024.PubMed/NCBI View Article : Google Scholar
|
|
23
|
Akselrod-Ballin A, Chorev M, Shoshan Y,
Spiro A, Hazan A, Melamed R, Barkan E, Herzel E, Naor S, Karavani
E, et al: Predicting breast cancer by applying deep learning to
linked health records and mammograms. Radiology. 292:331–342.
2019.PubMed/NCBI View Article : Google Scholar
|
|
24
|
Lång K, Josefsson V, Larsson AM, Larsson
S, Högberg C, Sartor H, Hofvind S, Andersson I and Rosso A:
Artificial intelligence-supported screen reading versus standard
double reading in the Mammography Screening with Artificial
Intelligence trial (MASAI): A clinical safety analysis of a
randomised, controlled, non-inferiority, single-blinded, screening
accuracy study. Lancet Oncol. 24:936–944. 2023.PubMed/NCBI View Article : Google Scholar
|
|
25
|
Chaurasia V, Pal S and Tiwari BB:
Prediction of benign and malignant breast cancer using data mining
techniques. J Algorithm Comput Technol. 12:2018.
|
|
26
|
Litjens G, Sánchez CI, Timofeeva N,
Hermsen M, Nagtegaal I, Kovacs I, Hulsbergen-van de Kaa C, Bult P,
van Ginneken B and van der Laak J: Deep learning as a tool for
increased accuracy and efficiency of histopathological diagnosis.
Sci Rep. 6(26286)2016.PubMed/NCBI View Article : Google Scholar
|
|
27
|
Weng SF, Reps J, Kai J, Garibaldi JM and
Qureshi N: Can Machine-learning improve cardiovascular risk
prediction using routine clinical data? PLoS One.
12(e0174944)2017.PubMed/NCBI View Article : Google Scholar
|
|
28
|
Veta M, van Diest PJ, Kornegoor R, Huisman
A, Viergever MA and Pluim JP: Automatic Nuclei Segmentation in
H&E Stained Breast Cancer Histopathology Images. PLoS One.
8(e70221)2013.PubMed/NCBI View Article : Google Scholar
|
|
29
|
Senaras C, Niazi MKK, Lozanski G and
Gurcan MN: DeepFocus: Detection of out-of-focus regions in whole
slide digital images using deep learning. PLoS One.
13(e0205387)2018.PubMed/NCBI View Article : Google Scholar
|
|
30
|
Janowczyk A, Zuo R, Gilmore H, Feldman M
and Madabhushi A: HistoQC: An open-source quality control tool for
digital pathology slides. JCO Clin Cancer Inform. 3:1–7.
2019.PubMed/NCBI View Article : Google Scholar
|
|
31
|
Niazi MKK, Tavolara TE, Arole V, Hartman
DJ, Pantanowitz L and Gurcan MN: Identifying tumor in pancreatic
neuroendocrine neoplasms from Ki67 images using transfer learning.
PLoS One. 13(e0195621)2018.PubMed/NCBI View Article : Google Scholar
|
|
32
|
Campanella G, Hanna MG, Geneslaw L,
Miraflor A, Werneck Krauss Silva V, Busam KJ, Brogi E, Reuter VE,
Klimstra DS and Fuchs TJ: Clinical-grade computational pathology
using weakly supervised deep learning on whole slide images. Nat
Med. 25:1301–1309. 2019.PubMed/NCBI View Article : Google Scholar
|
