Artificial intelligence in the treatment of cancer: Changing patterns, constraints, and prospects

Kaul V, Enslin S, Gross SA. History of artificial intelligence in medicine. Gastrointest Endosc. 2020;92:807–12.

Article  PubMed  Google Scholar 

Lo CM, Iqbal U, Li YJ. Cancer quantification from data mining to artificial intelligence. Comput Methods Programs Biomed. 2017;145:A1.

Article  ADS  PubMed  Google Scholar 

Bi WL, Hosny A, Schabath MB, Giger ML, Birkbak NJ, et al. Artificial intelligence in cancer imaging: clinical challenges and applications. CA Cancer J Clin. 2019;69(2):127–57.

Article  PubMed  PubMed Central  Google Scholar 

van der Waal I. Skin cancer diagnosed using artificial intelligence on clinical images. Oral Dis. 2018;24(6):873–4.

Article  PubMed  Google Scholar 

Houssami N, Kirkpatrick-Jones G, Noguchi N, Lee CI. Artificial Intelligence (AI) for the early detection of breast cancer: a scoping review to assess AI’s potential in breast screening practice. Expert Rev Med Devices. 2019;16(5):351–62.

Article  CAS  PubMed  Google Scholar 

Claudio L, Antonio P, Aldo S. Artificial intelligence in oncology: current applications and future perspectives. Br J Cancer. 2021;2022(126):4–9.

Google Scholar 

Hamamoto R, Suvarna K, Yamada M, Kobayashi K, Shinkai N, Miyake M, et al. Application of artificial intelligence technology in oncology: towards the establishment of precision medicine. Cancers (Basel). 2020;12:3532.

Article  PubMed  Google Scholar 

Kann BH, Hosny A, Aerts HJWL. Artificial intelligence for clinical oncology. Cancer Cell. 2021;39:916–27.

Article  CAS  PubMed  PubMed Central  Google Scholar 

Huynh E, Hosny A, Guthier C, Bitterman DS, Petit SF, Haas-Kogan DA, et al. Artificial intelligence in radiation oncology. Nat Rev Clin Oncol. 2020;17:771–81.

Article  PubMed  Google Scholar 

Bhinder B, Gilvary C, Madhukar NS, Elemento O. Artificial intelligence in cancer research and precision medicine. Cancer Disco. 2021;11:900–15.

Article  CAS  Google Scholar 

Benzekry S. Artificial intelligence and mechanistic modeling for clinical decision making in oncology. Clin Pharmacol Ther. 2020;108:471–86.

Article  PubMed  Google Scholar 

Lee D, Yoon S. Application of Artificial Intelligence-Based Technologies in the Healthcare Industry: Opportunities and Challenges. Int J Environ Res Public Health. 2021;18:271.

Article  PubMed  PubMed Central  Google Scholar 

Lee H, Chen Y. Image Based Computer Aided Diagnosis System for Cancer Detection. Expert Syst Appl. 2015;42:5356–65 (https://www.sciencedirect.com/science/article/abs/pii/S0957417415000986?via%3Dihub (accessed on 13 October 2022)).

Article  Google Scholar 

Sasieni P. Evaluation of the UK breast screening programmes. Ann Oncol. 2003;14:1206–8.

Article  CAS  PubMed  Google Scholar 

Maroni R, Massat NJ, Parmar D, Dibden A, Cuzick J, Sasieni PD, Duffy SW. A case-control study to evaluate the impact of the breast screening programme on mortality in England. Br J Cancer. 2020;124:736–43.

Article  PubMed  PubMed Central  Google Scholar 

Esserman LJ. The WISDOM Study: Breaking the deadlock in the breast cancer screening debate. NPJ Breast Cancer. 2017;3:34.

Article  PubMed  PubMed Central  Google Scholar 

Dembrower K, Wåhlin E, Liu Y, Salim M, Smith K, Lindholm P, Eklund M, Strand F. Effect of artificial intelligence-based triaging of breast cancer screening mammograms on cancer detection and radiologist workload: A retrospective simulation study. Lancet Digit Health. 2020;2:e468–74.

Article  PubMed  Google Scholar 

Meystre SM, Heider PM, Kim Y, Aruch DB, Britten CD. Automatic trial eligibility surveillance based on unstructured clinical data. Int J Med Inform. 2019;129:13–9.

Article  PubMed  PubMed Central  Google Scholar 

Beck JT, Rammage M, Jackson GP, Preininger AM, Dankwa-Mullan I, Roebuck MC, Torres A, Holtzen H, Coverdill SE, Williamson MP, et al. Artificial Intelligence Tool for Optimizing Eligibility Screening for Clinical Trials in a Large Community Cancer Center. JCO Clin Cancer Inform. 2020;4:50–9.

Article  PubMed  Google Scholar 

Huang S, Yang J, Fong S, Zhao Q. Artificial intelligence in cancer diagnosis and prognosis: Opportunities and challenges. Cancer Lett. 2020;471:61–71.

Article  CAS  PubMed  Google Scholar 

Hunter B, Hindocha S, Lee RW. The Role of Artificial Intelligence in Early Cancer Diagnosis. Cancers. 2022;14:1524. https://doi.org/10.3390/cancers14061524.

Article  CAS  PubMed  PubMed Central  Google Scholar 

Anderson M, O’Neill C, Macleod Clark J, Street A, Woods M, Johnston-Webber C, Charlesworth A, Whyte M, Foster M, Majeed A, et al. Securing a sustainable and fit-for-purpose UK health and care workforce. Lancet. 2021;397:1992–2011.

Article  CAS  PubMed  PubMed Central  Google Scholar 

Van Haren RM, Delman AM, Turner KM, Waits B, Hemingway M, Shah SA, Starnes SL. Impact of the COVID-19 Pandemic on Lung Cancer Screening Program and Subsequent Lung Cancer. J Am Coll Surg. 2021;232:600.

Article  PubMed  Google Scholar 

Armato SG, McLennan G, Bidaut L, McNitt-Gray MF, Meyer CR, Reeves AP, Zhao B, Aberle DR, Henschke CI, Hoffman EA, et al. The Lung Image Database Consortium (LIDC) and Image Database Resource Initiative (IDRI): A Completed Reference Database of Lung Nodules on CT scans. Med Phys. 2011;38:915–31.

Article  PubMed  PubMed Central  Google Scholar 

Gehrung M, Crispin-Ortuzar M, Berman AG, O’Donovan M, Fitzgerald RC, Markowetz F. Triage-driven diagnosis of Barrett’s esophagus for early detection of esophageal adenocarcinoma using deep learning. Nat Med. 2021;27:833–41.

Article  CAS  PubMed  Google Scholar 

Shaheen NJ, Falk GW, Iyer PG, Gerson LB. ACG Clinical Guideline: Diagnosis and Management of Barrett’s Esophagus. Am J Gastroenterol. 2016;111:30–50.

Article  CAS  PubMed  Google Scholar 

Fitzgerald RC, di Pietro M, O’Donovan M, Maroni R, Muldrew B, Debiram-Beecham I, Gehrung M, Offman J, Tripathi M, Smith SG, et al. Cytosponge-trefoil factor 3 versus usual care to identify Barrett’s oesophagus in a primary care setting: A multicentre, pragmatic, randomised controlled trial. Lancet. 2020;396:333–44.

Article  PubMed  PubMed Central  Google Scholar 

Mirbabaie M, Stieglitz S, Frick N. Artificial intelligence in disease diagnostics: A critical review and classification on the current state of research guiding future direction. Health Technol. 2021;11:693–731.

Article  Google Scholar 

Cao L, Yang J, Rong Z, Li L, Xia B, You C, Lou G, Jiang L, Du C, Meng H, et al. A novel attention-guided convolutional network for the detection of abnormal cervical cells in cervical cancer screening. Med Image Anal. 2021;73:102197.

Article  PubMed  Google Scholar 

Abriata LA, Dal Peraro M. State-of-the-art web services for de novo protein structure prediction. Brief Bioinform. 2021;22(3):bbaa139. https://doi.org/10.1093/bib/bbaa139.

Xuan P, Zhang Y, Cui H, Zhang T, Guo M, Nakaguchi T. Integrating multi-scale neighbouring topologies and cross-modal similarities for drug-protein interaction prediction. Brief Bioinform. 2021;22(5):bbab119. https://doi.org/10.1093/bib/bbab119.

You J, Liu B, Ying Z, Pande V, Leskovec J. Graph convolutional policy network for goal-directed molecular graph generation. Adv Neural Inform Process Syst. 2018;31. https://doi.org/10.48550/arXiv.1806.02473.

Wang L, Song Y, Wang H, Zhang X, Wang M, He J, Li S, Zhang L, Li K, Cao L. Advances of Artificial Intelligence in Anti-Cancer Drug Design: A Review of the Past Decade. Pharmaceuticals. 2023;16(2):253.

Article  CAS  PubMed  PubMed Central  Google Scholar 

Lind AP, Anderson PC. Predicting drug activity against cancer cells by random forest models based on minimal genomic information and chemical properties. PLoS ONE. 2019;14(7):e0219774.

Article  CAS  PubMed  PubMed Central  Google Scholar 

Wang Y, Wang Z, Xu J, Li J, Li S, Zhang M, Yang D. Systematic identification of non-coding pharmacogenomic landscape in cancer. Nat Commun. 2018;9(1):3192.

Article  ADS  PubMed  PubMed Central  Google Scholar 

Li Q, Qi L, Feng QX, Liu C, Sun SW, Zhang J, Yang G, Ge YQ, Zhang YD, Liu XS. Machine learning-based computational models derived from large-scale radiographic-radiomic images can help predict adverse histopathological status of gastric Cancer. Clin Transl Gastroenterol. 2019;10(10):e00079.

Article  PubMed  PubMed Central  Google Scholar 

Stanzione A, Cuocolo R, Del Grosso R, Nardiello A, Romeo V, Travaglino A, Raffone A, Bifulco G, Zullo F, Insabato L, Maurea S, Mainenti PP. Deep Myometrial Infiltration of Endometrial Cancer on MRI: A Radiomics-Powered Machine Learning Pilot Study. Acad Radiol. 2021;28(5):737–44. https://doi.org/10.1016/j.acra.2020.02.028.

Article  PubMed  Google Scholar 

Venkateswaramurthy N. Role of Artificial Intelligence in Cancer Chemotherapy. Available at: https://www.linkedin.com/pulse/role-artificial-intelligence-cancer-chemotherapy-venkateswaramurthy-n/. Accessed 8 Jun 2022.

Babier A, Boutilier JJ, McNiven AL, Chan TCY. Knowledge-based automated planning for oropharyngeal cancer. Med Phys. 2018;45(7):2875–83.

Article  PubMed  Google Scholar 

Jabbari P, Rezaei N. Artificial intelligence and immunotherapy. Expert Rev Clin Immunol. 2019;15(7):689–91.

Article  CAS  PubMed 

留言 (0)

沒有登入
gif