The Integration of Artificial intelligence and Diagnostic Medicine: A New Era of Healthcare


  • Feriha Fatima Khidri


Artificial intelligence, Diagnostic Medicine, Healthcare


Kumar Y, Koul A, Singla R, Ijaz MF. Artificial intelligence in disease diagnosis: a systematic literature review, synthesizing framework and future research agenda. J Ambient Intell Humaniz Comput. 2022; 1-28. doi: 10.1007/s12652-021-03612-z.

Reddy S, Fox J, Purohit MP. Artificial intelligence-enabled healthcare delivery. J R Soc Med. 2019; 112(1): 22-8. doi: 10.1177/0141076818815510.

Behara K, Bhero E, Agee JT, Gonela V. Artificial intelligence in medical diagnostics: A review from a South African context. Sci Afr. 2022; 17: e01360. doi: 10.1016/j.sciaf. 2022.e01360.

Rakha EA, Toss M, Shiino S, Gamble P, Jaroensri R, Mermel CH et al. Current and future applications of artificial intelligence in pathology: a clinical perspective. J Clin Pathol. 2021; 74(7): 409. doi: 10.1136/jclinpath-2020-206908.

Khurd P, Bahlmann C, Maday P, Kamen A, Gibbs-Strauss S, Genega EM et al. Computer-aided Gleason grading of prostate cancer histopathological images using texton forests. Proc IEEE Int Symp Biomed Imaging. 2010; 636-639. doi: 10.1109/ISBI.2010.5490096.

Couture HD, Williams LA, Geradts J, Nyante SJ, Butler EN, Marron J et al. Image analysis with deep learning to predict breast cancer grade, ER status, histologic subtype, and intrinsic subtype. NPJ Breast Cancer. 2018; 4(1): 30. doi: 10.1038/s41523-018-0079-1.

Hegde N, Hipp JD, Liu Y, Emmert-Buck M, Reif E, Smilkov D et al. Similar image search for histopathology: SMILY. NPJ Digit Med. 2019; 2(1): 56. doi: 10.1038/s41746-019-0131-z.

Alrefaei AF, Hawsawi YM, Almaleki D, Alafif T, Alzahrani FA, Bakhrebah MA. Genetic data sharing and artificial intelligence in the era of personalized medicine based on a cross?sectional analysis of the Saudi human genome program. Sci Rep. 2022; 12(1): 1405. doi: 10.1038/s41598-022-05296-7.

Shreve JT, Khanani SA, Haddad TC. Artificial Intelligence in Oncology: Current Capabilities, Future Opportunities, and Ethical Considerations. Am Soc Clin Oncol Educ Book. 2022; 42: 842-51. doi: 10.1200/EDBK_350652.

Kaul V, Enslin S, Gross SA. History of artificial intelligence in medicine. Gastrointest Endosc. 2020; 92(4): 807-12. doi: 10.1016/j.gie.2020.06.040.

Gargeya R, Leng T. Automated identification of diabetic retinopathy using deep learning. Ophthalmology. 2017; 124(7): 962-9. doi: 10.1016/j.ophtha.2017.02.008.

Mathotaarachchi S, Pascoal TA, Shin M, Benedet AL, Kang MS, Beaudry T et al. Identifying incipient dementia individuals using machine learning and amyloid imaging. Neurobiol Aging. 2017; 59: 80-90. doi: 10.1016/j.neurobiolaging.2017.06.027.

Ahmed Z, Bhinder KK, Tariq A, Tahir MJ, Mehmood Q, Tabassum MS et al. Knowledge, attitude, and practice of artificial intelligence among doctors and medical students in Pakistan: A cross-sectional online survey. Ann Med Surg. 2022; 76: 103493. doi: 10.1016/j. amsu.2022.103493.

National Center of Artificial Intelligence. (Retrieved March 28, 2023).

Kumar A, Gadag S, Nayak UY. The Beginning of a New Era: Artificial Intelligence in Healthcare. Adv Pharm Bull. 2021; 11(3): 414. doi: 10.34172/apb.2021.049.




How to Cite

Khidri FF. The Integration of Artificial intelligence and Diagnostic Medicine: A New Era of Healthcare. J Liaq Uni Med Health Sci [Internet]. 2023 Apr. 3 [cited 2024 May 22];22(01):01-2. Available from: