Saftawy, E. (2023). Artificial intelligence in Medical Parasitology between hopes and fears. Parasitologists United Journal, 16(2), 94-99. doi: 10.21608/PUJ.2023.217251.1214
Enas Saftawy. "Artificial intelligence in Medical Parasitology between hopes and fears". Parasitologists United Journal, 16, 2, 2023, 94-99. doi: 10.21608/PUJ.2023.217251.1214
Saftawy, E. (2023). 'Artificial intelligence in Medical Parasitology between hopes and fears', Parasitologists United Journal, 16(2), pp. 94-99. doi: 10.21608/PUJ.2023.217251.1214
Saftawy, E. Artificial intelligence in Medical Parasitology between hopes and fears. Parasitologists United Journal, 2023; 16(2): 94-99. doi: 10.21608/PUJ.2023.217251.1214
Artificial intelligence in Medical Parasitology between hopes and fears
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.
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