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Cited by in F6Publishing
For: Loh E. Medicine and the rise of the robots: a qualitative review of recent advances of artificial intelligence in health. leader 2018;2:59-63. [DOI: 10.1136/leader-2018-000071] [Cited by in Crossref: 39] [Cited by in F6Publishing: 26] [Article Influence: 9.8] [Reference Citation Analysis]
Number Citing Articles
1 Nawaz FA, Barr AA, Desai MY, Tsagkaris C, Singh R, Klager E, Eibensteiner F, Parvanov ED, Hribersek M, Kletecka-pulker M, Willschke H, Atanasov AG. Promoting Research, Awareness, and Discussion on AI in Medicine Using #MedTwitterAI: A Longitudinal Twitter Hashtag Analysis. Front Public Health 2022;10:856571. [DOI: 10.3389/fpubh.2022.856571] [Reference Citation Analysis]
2 do Nascimento CF, Batista AFDM, Duarte YAO, Chiavegatto Filho ADP. Early identification of older individuals at risk of mobility decline with machine learning. Archives of Gerontology and Geriatrics 2022;100:104625. [DOI: 10.1016/j.archger.2022.104625] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
3 Kela N, Eytam E, Katz A. Supporting Management of Noncommunicable Diseases With Mobile Health (mHealth) Apps: Experimental Study. JMIR Hum Factors 2022;9:e28697. [PMID: 35234653 DOI: 10.2196/28697] [Reference Citation Analysis]
4 Zhang Y, Weng Y, Lund J. Applications of Explainable Artificial Intelligence in Diagnosis and Surgery. Diagnostics 2022;12:237. [DOI: 10.3390/diagnostics12020237] [Cited by in F6Publishing: 8] [Reference Citation Analysis]
5 Mohammad MA, Olesen KKW, Koul S, Gale CP, Rylance R, Jernberg T, Baron T, Spaak J, James S, Lindahl B, Maeng M, Erlinge D. Development and validation of an artificial neural network algorithm to predict mortality and admission to hospital for heart failure after myocardial infarction: a nationwide population-based study. Lancet Digit Health 2022;4:e37-45. [PMID: 34952674 DOI: 10.1016/S2589-7500(21)00228-4] [Reference Citation Analysis]
6 Althobaiti K. Surveillance in Next-Generation Personalized Healthcare: Science and Ethics of Data Analytics in Healthcare. New Bioeth 2021;27:295-319. [PMID: 34720071 DOI: 10.1080/20502877.2021.1993055] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
7 Oliveira LMC, Dias R, Rebello CM, Martins MAF, Rodrigues AE, Ribeiro AM, Nogueira IBR. Artificial Intelligence and Cyber-Physical Systems: A Review and Perspectives for the Future in the Chemical Industry. AI 2021;2:429-43. [DOI: 10.3390/ai2030027] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
8 Irrgang C, Boers N, Sonnewald M, Barnes EA, Kadow C, Staneva J, Saynisch-wagner J. Towards neural Earth system modelling by integrating artificial intelligence in Earth system science. Nat Mach Intell 2021;3:667-74. [DOI: 10.1038/s42256-021-00374-3] [Cited by in Crossref: 4] [Cited by in F6Publishing: 14] [Article Influence: 4.0] [Reference Citation Analysis]
9 Tan SY, Taeihagh A, Tripathi A. Tensions and antagonistic interactions of risks and ethics of using robotics and autonomous systems in long-term care. Technological Forecasting and Social Change 2021;167:120686. [DOI: 10.1016/j.techfore.2021.120686] [Cited by in Crossref: 7] [Cited by in F6Publishing: 6] [Article Influence: 7.0] [Reference Citation Analysis]
10 Goldstein HV, Goldstein JC. Perioperative automation: Time to become artificial intelligence literate? Response to Br J Anaesth 2020; 125: 843-6. Br J Anaesth 2021;126:e59-61. [PMID: 33250182 DOI: 10.1016/j.bja.2020.10.033] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.5] [Reference Citation Analysis]
11 Alam Khan Z, Feng Z, Uddin MI, Mast N, Ali Shah SA, Imtiaz M, Al-khasawneh MA, Mahmoud M, Ali S. Optimal Policy Learning for Disease Prevention Using Reinforcement Learning. Scientific Programming 2020;2020:1-13. [DOI: 10.1155/2020/7627290] [Cited by in Crossref: 2] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
12 Locsin RC, Pepito JA, Juntasopeepun P, Constantino RE. Transcending human frailties with technological enhancements and replacements: Transhumanist perspective in nursing and healthcare. Nurs Inq 2021;28:e12391. [PMID: 33159824 DOI: 10.1111/nin.12391] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.5] [Reference Citation Analysis]
13 Tan NG, Yang LW, Tan MZ, Chng J, Tan MH, Tan C. Virtual care to increase military medical centre capacity in the primary health care setting: A prospective self-controlled pilot study of symptoms collection and telemedicine. J Telemed Telecare 2020;:1357633X20959579. [PMID: 33016187 DOI: 10.1177/1357633X20959579] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.5] [Reference Citation Analysis]
14 D’hotman D, Loh E, Savulescu J. AI-enabled suicide prediction tools: ethical considerations for medical leaders. leader 2021;5:102-7. [DOI: 10.1136/leader-2020-000275] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.5] [Reference Citation Analysis]
15 H Birk R, Samuel G. Can digital data diagnose mental health problems? A sociological exploration of 'digital phenotyping'. Sociol Health Illn 2020;42:1873-87. [PMID: 32914445 DOI: 10.1111/1467-9566.13175] [Cited by in Crossref: 5] [Cited by in F6Publishing: 15] [Article Influence: 2.5] [Reference Citation Analysis]
16 Salas‐pilco SZ. The impact of AI and robotics on physical, social‐emotional and intellectual learning outcomes: An integrated analytical framework. Br J Educ Technol 2020;51:1808-25. [DOI: 10.1111/bjet.12984] [Cited by in Crossref: 2] [Cited by in F6Publishing: 5] [Article Influence: 1.0] [Reference Citation Analysis]
17 Ngiam KY, Khor IW. Big data and machine learning algorithms for health-care delivery. Lancet Oncol. 2019;20:e262-e273. [PMID: 31044724 DOI: 10.1016/s1470-2045(19)30149-4] [Cited by in Crossref: 175] [Cited by in F6Publishing: 264] [Article Influence: 87.5] [Reference Citation Analysis]
18 Greenhill AT, Edmunds BR. A primer of artificial intelligence in medicine. Techniques and Innovations in Gastrointestinal Endoscopy 2020;22:85-9. [DOI: 10.1016/j.tgie.2019.150642] [Cited by in Crossref: 7] [Cited by in F6Publishing: 6] [Article Influence: 3.5] [Reference Citation Analysis]
19 Tanioka T, Yasuhara Y, Dino MJS, Kai Y, Locsin RC, Schoenhofer SO. Disruptive Engagements With Technologies, Robotics, and Caring: Advancing the Transactive Relationship Theory of Nursing. Nurs Adm Q 2019;43:313-21. [PMID: 31479051 DOI: 10.1097/NAQ.0000000000000365] [Cited by in Crossref: 10] [Cited by in F6Publishing: 7] [Article Influence: 5.0] [Reference Citation Analysis]
20 Dunn RR, Spiros MC, Kamnikar KR, Plemons AM, Hefner JT. Ancestry estimation in forensic anthropology: A review. WIREs Forensic Sci 2020;2. [DOI: 10.1002/wfs2.1369] [Cited by in Crossref: 4] [Cited by in F6Publishing: 5] [Article Influence: 2.0] [Reference Citation Analysis]
21 Bjerring JC, Busch J. Artificial Intelligence and Patient-Centered Decision-Making. Philos Technol 2021;34:349-71. [DOI: 10.1007/s13347-019-00391-6] [Cited by in Crossref: 11] [Cited by in F6Publishing: 16] [Article Influence: 5.5] [Reference Citation Analysis]
22 Cook TS. Human vs machine in medicine: can scientific literature answer the question?Lancet Digit Health. 2019;1:e246-e247. [PMID: 33323246 DOI: 10.1016/S2589-7500(19)30124-4] [Cited by in Crossref: 5] [Cited by in F6Publishing: 4] [Article Influence: 1.7] [Reference Citation Analysis]
23 Bauer M, Monteith S, Geddes J, Gitlin MJ, Grof P, Whybrow PC, Glenn T. Automation to optimise physician treatment of individual patients: examples in psychiatry. Lancet Psychiatry 2019;6:338-49. [PMID: 30904127 DOI: 10.1016/S2215-0366(19)30041-0] [Cited by in Crossref: 16] [Cited by in F6Publishing: 13] [Article Influence: 5.3] [Reference Citation Analysis]
24 Kluge EW. Artificial intelligence in healthcare: Ethical considerations. Healthc Manage Forum 2020;33:47-9. [PMID: 31340674 DOI: 10.1177/0840470419850438] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 1.0] [Reference Citation Analysis]
25 Racine E, Boehlen W, Sample M. Healthcare uses of artificial intelligence: Challenges and opportunities for growth. Healthc Manage Forum 2019;32:272-5. [PMID: 31234654 DOI: 10.1177/0840470419843831] [Cited by in Crossref: 14] [Cited by in F6Publishing: 13] [Article Influence: 4.7] [Reference Citation Analysis]
26 van Druten J, Khashu M, Chan SS, Sharif S, Abdalla H. Abdominal ultrasound should become part of standard care for early diagnosis and management of necrotising enterocolitis: a narrative review. Arch Dis Child Fetal Neonatal Ed 2019;104:F551-9. [PMID: 31079066 DOI: 10.1136/archdischild-2018-316263] [Cited by in Crossref: 6] [Cited by in F6Publishing: 7] [Article Influence: 2.0] [Reference Citation Analysis]