DeepSensi™ Cognitive EngineBuilt for licensed physicians.Request access
Clinical Protocol: DS-CLIN-2026-SILENT-DS OSF Pre-Registration In Preparation ClinicalTrials.gov Registration in Progress N = 10,000 Inpatient Admissions Multi-Center Observer-Blinded

SILENT-DS™ Protocol.
Testing Diagnostic Superiority at Hospital Scale.

A prospective, multi-center, observer-blinded cohort study evaluating the diagnostic accuracy of the DeepSensi™ Cognitive Medical Operating System against blinded adjudication and against the physician's own admission note, operating in silent-mode across adult internal-medicine admissions.

A bright, modern hospital admissions unit: a small clinical team stands at a patient's bedside in calm concentration, one of them holding a tablet. Curtains, monitors and equipment are…
N = 10,000
prospective consecutive hospital admissions
12 Hours
index time: the output is sealed from the data available 12 hours after admission
5 pp → 0
non-inferiority margin, then superiority, against the admission note
0.0 sec
alteration to active bedside patient management

SCIENTIFIC METHODOLOGY // NON-INTERVENTIONAL SILENT-MODE HARNESS

Rigorous Observer-Blinded Study Architecture

Diagnostic AI evaluations frequently suffer from benchmark contamination, unblinded retrospective cherry-picking, and clinician confirmation bias. SILENT-DS establishes the first large-scale prospective, frozen-architecture confirmatory study in acute medicine.

A hospital ward at dawn: a nurse and a physician at a patient's bedside.
Pillar 1 · Passive EHR Ingestion

Zero Care Interruption

Inside the hospital, on a node with no inbound connection from the internet, DeepSensi reads the EHR record (FHIR R4 / HL7) as standard-of-care clinical notes, vital signs, laboratory panels, and imaging reports are entered; identifiable data never leave the hospital. Treating physicians do not receive or see DeepSensi outputs during active care, ensuring absolute non-intervention and zero observer effect.

Pillar 2 · Ground Truth Adjudication

Independent Blinded CEAC

Final diagnostic truth is adjudicated by an Independent Blinded Clinical Endpoint Adjudication Committee (CEAC) comprising senior board-certified specialists. The CEAC reviews complete 30-day post-discharge outcomes, biopsy pathology, specialist consults, and autopsy records to determine the authoritative reference diagnosis.

Pillar 3 · Sovereign Edge Nodes

Zero Cloud Egress

All computations execute on sponsor-provided, on-premises sovereign hospital nodes. Zero Protected Health Information (PHI) leaves the hospital intranet.

PRIMARY & SECONDARY OUTCOMES // STATISTICAL ANALYSIS PLAN

Confirmatory Clinical Endpoints (STARD-AI Aligned)

Endpoint Scientific Measurement & Metric Prespecified Analysis
Top-3 Diagnostic Concordance Proportion of admissions where the adjudicated CEAC reference diagnosis appears in DeepSensi's top-3 differential diagnosis outputs. Lower 95% bound above 85%; then non-inferiority (5 percentage points) and superiority against the working diagnoses of the admission note, tested in a fixed sequence.
Missed-Critical Safety Event Rate Proportion of time-sensitive, life-threatening critical emergencies omitted by the system. Reported with its upper 95% bound (rule of three when no event is observed) and as a paired difference against the admission note.
Top-1 Diagnostic Concordance Proportion of admissions where DeepSensi's highest-ranked diagnosis matches the adjudicated reference diagnosis. Reported with a 95% interval and as a paired difference against the first-listed diagnosis of the admission note.
Structured Refusal (LIMBO Protocol) Proportion of admissions for which DeepSensi formally declines to rank a diagnosis and lists the investigations needed. Reported descriptively; no target is set in advance.
A modern teaching hospital from the outside at dawn: an ambulance stands quietly at the emergency entrance, pale sky, the building bright and calm. Ultra-wide, no drama.

HOSPITAL ONBOARDING // ACADEMIC MEDICAL CENTER PARTICIPATION

Participate as a Study Site Hospital

DeepSensi PBC provides fully funded sovereign compute nodes, EHR integration adapters, and clinical research coordination for qualifying tertiary academic medical centers and health systems. Operating strictly in non-disruptive, silent mode with zero clicks, zero alerts, and zero bedside changes.

Official Hospital Onboarding Edition Document ID: DS-INST-2026-SILENT-HOSPITAL Version 1.0 (September 2026)

SILENT-DS: Hospital Site Participation & Expression of Interest Dossier

Target Audience: Chief Medical Officers (CMO), Chairs of Internal Medicine, Directors of Hospital Medicine, CIOs, and Institutional Review Board (IRB) Leadership.

Workflow & Liability

Zero Clinical Disruption

Operates entirely in the background via read-only EHR feeds. Attending physicians and residents require zero training, receive zero pop-up alerts, and make zero workflow changes. Predictions are cryptographically sealed in write-once storage and evaluated only post-discharge, eliminating bedside malpractice exposure.

Regulatory Fortress

Exempt & Pre-Approved

Exempt from Investigational Device Exemption (IDE) under 21 CFR § 812.2(c)(3). Pre-approved for Waiver of Informed Consent under 21 CFR § 50.22 and 45 CFR § 46.116(f), and HIPAA Authorization Waiver under 45 CFR § 164.512(i). Full central IRB reliance (WCG / Advarra) or turnkey local IRB packet provided.

Cybersecurity & IT

Edge Gateway & Coded Data

Deployed as a Plug-and-Play DeepSensi Edge Gateway (lightweight VM or appliance) within the hospital data center to handle local data anonymization. Strips all direct identifiers on-premise; only Coded Clinical Data leaves the hospital firewall via mTLS 1.3 to the DeepSensi Supercluster for passive inference. Zero inbound ports, zero EHR database modification.

Academic Recognition

Premier Co-Authorship

Site Principal Investigators and hospital co-investigators receive prominent co-authorship on high-impact multi-center publications reporting diagnostic accuracy against standard hospital care, adhering strictly to STARD 2015 / STARD-AI reporting guidelines. Fully sponsored infrastructure provided at zero cost.

Three-Phase Hospital Onboarding Roadmap

Phase 1: Governance & IRB (Weeks 1 to 4)

Execution of standard institutional Data Use Agreement (DUA) and Study Site Agreement; Central IRB reliance agreement execution (WCG / Advarra) or local hospital IRB approval; designation of Site Principal Investigator.

Phase 2: IT Provisioning & Feed Validation (Weeks 5 to 6)

Provisioning of on-premise locked Edge Node appliance or secure VM; activation of read-only HL7 v2 / FHIR feeds; automated validation across 200 consecutive test admissions (95% data completeness benchmark).

Phase 3: Silent Run & Adjudication (Months 2 to 14)

Consecutive prospective accrual (typically 1,500 to 2,500 adult internal medicine admissions per site); post-discharge clinical chart review by designated site clinician adjudicators; cryptographic matching and aggregate statistical reporting.

Submit Institutional Expression of Interest:

DeepSensi PBC · Division of Clinical Investigations & Health System Partnerships
Email: [email protected] | [email protected]
Direct Partner Line: +1 646 210 1916 · Dover, Delaware, United States

Download Hospital Application Packet (PDF)
A long, bright clinic corridor in morning light seen straight down its axis: staff walk away from the camera as soft, slightly blurred silhouettes, and at the far end a large luminous…