Artificial intelligence in Medical Parasitology between hopes and fears | ||||
| Parasitologists United Journal | ||||
| Article 2, Volume 16, Issue 2, August 2023, Page 94-99 PDF (431.28 K) | ||||
| Document Type: Review Article | ||||
| DOI: 10.21608/PUJ.2023.217251.1214 | ||||
 View on SCiNiTO | ||||
| Author | ||||
| Enas Saftawy* | ||||
| Departments of Medical Parasitology, Faculty of Medicine, Cairo University and Armed Forces College of Medicine, Cairo, Egypt | ||||
| Abstract | ||||
| Artificial intelligence (AI) and machine deep learning interaction with human intellect emerged in the medical field. Application of AI may serve the field of Parasitology in clinical diagnosis, higher education institutes, and in Parasitology research. The anticipated implementation of AI includes: 1) the serving of large-scale populations in the diagnostic labs, 2) the capabilities to exploit huge data in no time, 3) the performance of autonomous calibration and experimentation, and 4) dealing with unsafe experimental tasks. Yet, fears appeared concerning the possible substitution of human abilities, the susceptibility to cyber threats, and the lack of wisdom and experience to execute decisions. Therefore, AI is determined to assist not replace Parasitologists in their profession. The present report aims to overview AI relevance in the field of Medical Parasitology. | ||||
| Keywords | ||||
| artificial intelligence; clinical diagnosis; diagnostic labs, higher education institutes, Parasitologist, Parasitology research | ||||
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