What's New

In the RadioView.AI AI Marketplace the unit of the decision is now the site. Pick a site and the catalogue answers for that site, start a trial or request a subscription against it specifically, and read indication of use and regulatory status as columns of the catalogue. A subscription request lands as a pending approval rather than switching the model on.

MonitorAI holds AI results against the radiologist's completed report, so you can see how each model performs on your own studies. A review worklist for cases where AI and report disagree, case-level adjudication, per-site scoping, model cards, and exports for your QA meeting.

AI Analysis runs three cleared AI Suite modules against a study as it arrives and surfaces what they flagged in the viewer, with a confidence score where the model reports one. Each module triages and prioritizes within its own cleared indication. One click drops a flagged result into your draft report.

Send a study, or fifty, from RadioView.AI to an external PACS over standards-based DICOM. Destinations are saved once and verified with a C-ECHO before anything moves, batch transfers run in the background, and every send is logged per destination.

AI Hanging Protocols automatically arrange radiology images by modality, body part, clinical context, and each radiologist's reading preference — learning from DICOM metadata and adapting as the data changes, so the study is laid out before you open it.

Custom Workflows is AizaMD's clinical workflow engine for triage, ED disposition, and care coordination. Author a versioned pathway once — a lumbar-intake flow, a personal-injury track — then run it per encounter or per case, from intake to active treatment.

The ConnectAI on-site connector now brings the integration gateway to the edge: scanners pull the day's worklist over DICOM Modality Worklist, studies arrive by C-STORE, queries are answered by C-FIND, and HL7 orders flow to and from the RIS and EHR — no manual entry at the console.

RadioView.AI has received FDA 510(k) clearance (K260936) as a Class II Medical Image Management and Processing System. This is a clearance for the imaging layer itself, not for an individual AI module: the web-based PACS that viewing, transmission, storage and visualization run on.

My Caller ID lets you choose which verified number your patients see when you call from the AizaMD dialer — add multiple numbers and set a default.

VesselViz brings 3D vessel visualization to CT Angiography in the AI Viewer — with automated centerline extraction, curved planar reformation (CPR), and per-vessel diameter measurements, so you can assess a vessel without leaving RadioView.AI.

The full RadioView.AI web app now adapts to phones and tablets — worklist, dashboard, reporting, and Comhub — with a mobile navigation shell, so you can pick up work from any screen in your browser, no separate download required.

Open a study and RadMatcher loads the matching report template automatically, so you can start dictating right away. It matches to your personal templates when available and feeds straight into report generation.

The RadioView.AI viewer now runs on the latest Cornerstone3D v4 rendering engine (OHIF 3.12.5). Studies render faster and scroll more smoothly, and the viewer gains a modern labelmap segmentation toolset that the rest of this release builds on.

Large studies now stream in layers with HTJ2K encoding — a quick low-resolution preview appears first and sharpens to full diagnostic resolution as the rest arrives, so you start reading sooner instead of waiting for the whole file to download.

Comhub now adds real-time audio and video calls, huddles, and scheduled meetings to the team chat already built into RadioView.AI — so you can talk through a study with a colleague or care partner without leaving the workspace.

Drop a few prompt points on a structure and RadioView.AI outlines it for you, then interpolates the outline across slices — so you no longer have to segment every slice by hand. It uses a Segment Anything (SAM) model that runs in the browser.

A new productivity dashboard in ConnectAI tracks per-provider output — RVUs, studies, adoption, and QA — with MGMA benchmarking and MIPS views, plus exportable, printable reports for leadership.

Custom Flows is a clinical workflow engine in ConnectAI. Build guided flows for triage, ED disposition, and care coordination, with AI assistance along the way — turned on per site so each location runs the flow that fits it.

Patient Rounding is now available in AizaMD. Round on inpatients from one board — capture an encounter, get an ambient-drafted progress note for each hospital day, then sign, co-sign, and send to the EHR.

AI-RCM is the newest SaveLife.AI product: a revenue-cycle layer that starts working before the claim is submitted. It checks documentation, coding, eligibility, and prior authorization, predicts denial risk, and collects the patient balance. Every outcome feeds back, so future claims get cleaner over time.

CXRDetectAI, our AI module for chest X-ray abnormality and tuberculosis detection, has received FDA 510(k) clearance (K253751). It is the third SaveLife.AI AI Suite module to be FDA 510(k) cleared, joining NeuroICH (K241719) and MammoSightAI (K252954).

The AizaMD Dialer is live. Place a phone call to your patient for results, a care-plan check-in, or a prescription update — and AizaMD turns the conversation into a clinical note automatically. The call and its documentation live in one workflow, with the same audit trail as every other note in your account.

The new ConnectAI Front Desk module turns your reception into a single guided flow — patient arrives, eligibility runs, consent gets signed, copay gets collected, encounter opens. At the end of the visit, check-out closes the encounter, books the follow-up, and emits a claim-ready event. One workspace, one consistent flow, every visit.

ConnectAI Voice Agents is now available. An AI front-desk agent answers your inbound phone line, verifies the caller, and handles four routine flows on its own — appointment confirmations, rescheduling, eligibility verification, and general practice questions. Your staff steps in only when the call actually needs them.

The Admin Panel just got a serious speed boost. Dashboard statistics are now served from a new backend caching layer that pre-computes and stores results — so the numbers you need appear the moment you open the page, instead of being recalculated on every visit. Less waiting, more acting.

Managing your studies in ConnectAI just got easier. A new Studies tab gives you full visibility into every study in your account and lets you remove the ones you no longer need — no support ticket, no waiting.

The RadioView.AI viewer now has a dedicated annotation workflow. Drop arrows and free-text notes directly on any image, save them separately from your measurements, and have them reliably restored the next time you open the study — even after a refresh. No more lost markup, no more 'where did my arrow go?'

We've rebuilt the way you read studies in RadioView.AI. The new Reading Workflow Panel is a single, focused command center on the reading side — pick a hanging-protocol profile, jump through your worklist, navigate series and viewports, and jot down per-study notes, all without leaving the viewer.

Two new coding controls land in AizaMD: pick exactly which ICD-10 codes are sent to the EHR on a per-note basis, and decide whether ICD-10 and CPT codes appear on your notes at all. Your coding workflow stays under your control, every note.

Your ICD-10 coding workflow just got a serious upgrade. The new ICD-10 Coding Workspace is a dedicated home for the codes you actually use — searchable, organized, and right where you need them. Build a personal go-to list, pull from your facility's standardized codes, browse AI-curated suggestions, or search the full catalog.

Patient List is now live in AizaMD — a built-in inpatient census workflow with three auto-updated system lists, personal lists you control, shared team lists with access management, one-tap pinning, and the per-patient context clinicians need at the point of care: code status, provider team, and handoff notes.

AizaMD Dictation for Desktop is now available for Mac and Windows. Dictate clinical notes into any application — your EHR, email, documents — and AizaMD automatically structures your voice into a finished SOAP note and inserts it where you're working. Press F1, speak, auto-paste.

AizaMD 3.0 is our biggest release yet, expanding to 14 medical specialties, adding real-time ICD-10/CPT code suggestions, a new iOS and Android app, improved EHR push for Epic/Cerner/Athena/Meditech, and transcription accuracy now at 97.8%.

RadioView.AI's latest update brings built-in team chat (Comhub), a radiologist-focused home dashboard, Key Images capture in the AI Viewer, anatomical measurements, and faster study streaming via ConnectAI local node.

AI-assisted measurement tools in RadioView.AI can reduce time spent on radiological assessments by up to 75%, while increasing accuracy by eliminating human error.

RadioView.AI now supports multi-monitor workspaces, eliminating window toggling and cramped views to boost productivity, reduce errors, and speed up reads.

SaveLife.AI is proud to announce that NeuroICH, our AI-powered intracranial hemorrhage detection tool, has received FDA 510(k) clearance (K241719). This milestone makes NeuroICH one of the first FDA-cleared AI tools for automated ICH detection and triage.

AizaMD now includes CliniEnhance, an intelligent post-encounter review engine that surfaces clinical and financial smart suggestions to help providers reduce denial rates and maximize reimbursement.

RadioView.AI introduces the Automated Radiology Report Generation (ARRG) module, delivering structured, clinically accurate radiology reports in seconds from DICOM studies.

SaveLife.AI has successfully renewed its HITRUST CSF (Common Security Framework) certification, reaffirming our commitment to the highest standards of healthcare data security and privacy compliance.

ConnectAI now supports full FHIR R4 and HL7 v2.x integration, enabling bi-directional data exchange between PACS, EHR, and clinical management systems with zero custom code.

The redesigned AizaMD Chrome Extension embeds ambient documentation directly into your EHR workflow: record, transcribe, and push structured notes to Epic, Cerner, or Athenahealth without switching tabs.

The RadioView.AI mobile app (iOS & Android) brings full DICOM viewing, AI-powered reporting, and CareTeam collaboration to your smartphone and tablet.