AI-Native Scoping Reviews & Evidence Mapping

Missed appointments are not solved by reminders alone: the strongest signals come from reducing practical friction, shortening access delays, and adding accountable human contact through calls, navigation, scheduling redesign, and targeted outreach. The full read shows which interventions actually improve attendance, where SMS and nudges fail, and how clinics can design barrier-matched systems instead of wasting capacity on generic reminders.

Built on 1,032 linked references, this review maps the full exoskeleton evidence landscape—from stroke and spinal cord injury rehabilitation to occupational support, mobility assistance, human augmentation, control systems, and real-world adoption. The full read reveals where exoskeletons genuinely improve function and reduce physical burden, where benefits remain task- and user-dependent, and which barriers still prevent broad clinical and industrial implementation.

Remote robotic surgery is no longer science fiction: the evidence shows real feasibility across 5G telesurgery, neurovascular intervention, spine surgery, and remote mentoring, but only when latency, bandwidth, redundancy, cybersecurity, and feedback systems are treated as clinical safety infrastructure. The full evidence map shows where remote robotic surgery is already clinically credible, where it remains experimental, and which technical safeguards will determine whether distance-separated surgery becomes a safe medical service or only a technological demonstration.

AI cybercrime is no longer just a technical threat but a dual-use arms race: the same AI systems that scale phishing, deepfakes, fraud, and offender automation are also powering detection, forensic triage, and evidence preservation. This full evidence map shows where the strongest signals actually lie — from high-accuracy phishing and fraud detection to blockchain-backed forensics, XAI, governance gaps, and the unresolved question of whether AI-generated evidence can be trusted in real legal workflows.

AI chatbots are becoming more than tools: this evidence map shows how loneliness, perceived empathy, parasocial bonding, and satisfaction can turn conversational support into emotional dependency, over-reliance, and withdrawal-like patterns. The full review separates original evidence from opinion literature and maps where the strongest signals emerge across attachment, social disconnection, Replika-style companion use, student dependency, and design strategies to reduce harm.

EMA approval is not the end of evidence generation, but the start of a lifecycle in which uncertainty must be resolved through post-authorization studies, pharmacovigilance, RWE, and reimbursement reassessment. This evidence map shows where regulatory access, conditional authorization, surrogate endpoints, safety monitoring, and real-world confirmation succeed — and where they still leave clinicians, payers, and patients with critical unanswered questions.