AI-Native Scoping Reviews & Evidence Mapping

Impella is not a simple “more support means better outcome” device: across 194 references and 432 original studies, the evidence shows a constant trade-off between ventricular unloading, survival signals, and complications such as bleeding, hemolysis, thrombocytopenia, vascular injury, and acquired von Willebrand syndrome. The full ☸️SAIMSARA evidence map shows where Impella appears strongest — early AMI-cardiogenic shock support, high-risk PCI, bridge-to-transplant/LVAD pathways, and selected RV failure scenarios — and where the evidence remains fragile, observational, or safety-limited.

Alcohol and depression are not a simple “alcohol causes depression” story: across 185 references and 3,711 original studies, the evidence separates moderate-use signals from the consistent harms of heavy drinking, AUD, coping-motivated use, suicidality, relapse, and mortality. The full ☸️SAIMSARA evidence map gives a reference-linked view of where causality remains uncertain, which mechanisms matter clinically, and why integrated screening and treatment are needed instead of treating alcohol and depression as separate problems.

Electronic health records are not won by one “best” vendor: the evidence shows that usability, clinical decision support, interoperability, analytics readiness, workflow fit, and governance decide whether an EHR actually improves care. Built from 57 references and 130 original studies, the full ☸️SAIMSARA evidence map gives a practical, reference-linked view of what makes EHR systems work — and where they fail in real clinical settings.

Laser epilation is no longer just a cosmetic hair-removal procedure — this evidence map shows how it extends into pilonidal disease prevention, reconstructive surgery, trichiasis care, inflammatory follicular disorders, and phototype-adapted clinical practice. Built from **83 references and 113 original studies**, the full map helps readers see where laser hair removal is effective, where durability remains uncertain, and where safety risks such as ocular injury, burns, paradoxical hypertrichosis, pigmentary effects, and topical-anesthetic toxicity require protocol-driven care.

Air pollution is not just background exposure — this evidence map shows how PM2.5 and traffic-related pollution repeatedly align with CIMT progression, coronary calcium, plaque phenotype, cardiovascular events, and mechanistic vascular injury. Built from 96 references and 186 original studies, the full map gives a practical view of which vascular endpoints are most consistently affected, which populations appear vulnerable, and where prevention or exposure-reduction research should move next.

AI medical device safety is no longer just about model accuracy — this evidence map shows why real risk emerges across the full lifecycle: retraining, workflow integration, postmarket surveillance, cybersecurity, and human oversight. Built from 146 references and 151 original studies, the full map gives a practical view of where AI medical devices are already improving safety, where reporting and regulation still fail, and which safeguards matter before deployment.