Solmaz Sohrabei is an expert in Oncology at Shahid Beheshti University of Medical Sciences (Iran). Solmaz Sohrabei has authored 12 publications, the most recent in 2026. SLR score: 40 (community average: 125). How the SLR is computed.

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Oncology

Subspecialties:

Full career – Last 3 years

Main Topics

Publications and Clinical Studies

Publications – Clinical Studies

Profile data updated on

Organizations

Career arc: 2015 - 2026

Source: PubMed

Shahid Beheshti University of Medical Sciences

Publications Synthesis

Sources: PubMed, OpenAlex

Number : 12

Citations

Citations: 217 1st author: 5 Last author: 3 Unique author: 1


Best Journals

Breakdown by type

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Latest Publications

5 most recent indexed articles

Source: Pubmed

Title Journal Year Citations
Transforming perinatal health with AI-predictive models in precision and digital innovations for maternal and fetal well-being: a systematic review.
PMID 42614740 — bias, pregnancy, high-risk, pregnancy, intelligence, algorithms, machine learning, deep learning, research, learning, artificial intelligence
Oxf Open Digit Health20260
Designing conversational intelligence: effect of large language models (GPT-driven) platforms for precision maternal and newborn health engagement: a systematic review.
PMID 41635794 — diabetes mellitus, diabetes, gestational, pregnancy, intelligence, language, infant, newborn, pre-eclampsia, mental health, digital health, generative artificial intelligence
Oxf Open Digit Health20260
The Effect of Immersion Technology on the Quality of Life in Older Adults: A Systematic Review.
PMID 40896275 — depression, exercise, virtual reality, quality of life, stroke, augmented reality, aging, signs and symptoms, aged
Aging Med (Milton)20250
Investigating the Artificial intelligence in prediction and evaluation sperm and embryo quality in In vitro fertilization (IVF): A systematic review
OpenAlex W4405774566 — intelligence, fertilization in vitro, artificial intelligence, spermatozoa, fertilization
Research Square (Research Square)20240
Investigating the effects of artificial intelligence on the personalization of breast cancer management: a systematic study.
PMID 39026174 — genes, intelligence, breast neoplasms, neoplasms, classification, breast, physicians, therapeutics, learning, artificial intelligence, prognosis
BMC Cancer20243

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