Artificial Intelligence-based Ovulation Detection
Artificial Intelligence-Based Ovulation Detection is a computational methodology that employs artificial intelligence techniques to analyze physiological, hormonal, or behavioral data for the purpose of predicting or identifying ovulation with enhanced accuracy and automation compared to traditional rule-based or statistical approaches.
12
Publications
410
Citations
45
Authors
22
Institutions
Publications per year
2017–2026
6
Parents
12
Gerard S. Letterie, Andrew S. MacDonald, Zhan Shi · Reproductive BioMedicine Online · 2021 · 45 citations
Veterinary Medicine, Biomedical Informatics, Computer Science +17
1–5 of 12
45
1
h-index
1
h-index
1
h-index
1
h-index
1
h-index
1–5 of 45
22
Assaf Harofeh Medical Center
Tel Aviv, Israel
1 h-index
2 publications
26 citations
Herzliya Medical Center
Herzliya, Israel
1 h-index
2 publications
26 citations
Massachusetts General Hospital
Boston, United States
1 h-index
1 publications
50 citations
Ministry of Agriculture and Rural Development
Bet Dagan, Israel
1 h-index
6 publications
78 citations
University of the West Indies
Kingston, Jamaica
1 h-index
2 publications
22 citations
University of California, Davis
Davis, United States
1 h-index
3 publications
63 citations
Jawaharlal Nehru Medical College
Ajmer, India
1 h-index
1 publications
27 citations

University of Saskatchewan
Saskatoon, Canada
1 h-index
1 publications
114 citations
1–8 of 22
1 publications · 13 citations
1
h-index
1 publications · 22 citations
1
h-index
1 publications · 15 citations
1
h-index
1 publications · 60 citations
1
h-index
1 publications · 114 citations
1
h-index
1–5