Home / Clinical Decision Support & Reference / SOMNUM

SOMNUM

by HoneyNaps · Based in South Korea → — FDA-Cleared AI. PSG/HST Scoring in 5 Minutes.

Neurology Pulmonology Sleep Medicine

Website

Claim this tool

Is this the maker? Claim the company →

Leave this field empty

Correct company / maker

Company website (optional)

Anything else? (optional)

Regulatory Status Disclosed

Overview

SOMNUM is an AI-enabled medical software tool developed by Honeynaps Co., Ltd. designed to assist physicians in the analysis and diagnosis of sleep disorders. Leveraging advanced artificial intelligence algorithms, SOMNUM processes sleep study data to provide comprehensive insights into a patient’s sleep architecture and identify potential sleep-related issues.

The software aims to enhance the efficiency and accuracy of sleep disorder diagnosis, reducing the manual burden on clinicians and allowing for more timely and precise treatment planning. By automating aspects of sleep data interpretation, SOMNUM can help physicians identify patterns and anomalies that might be subtle or time-consuming to detect through traditional manual review.

SOMNUM’s capabilities are particularly valuable in specialties like neurology and pulmonology, where sleep disorders are frequently encountered. It supports clinicians in making informed decisions, ultimately contributing to improved patient outcomes for conditions such as sleep apnea, insomnia, and other sleep-related breathing disorders.

Reviewed by Pouyan Golshani, MD — Interventional Radiologist

Key Features

AI-powered sleep data analysis
Automated sleep stage scoring
Detection of sleep-related breathing events
Comprehensive sleep report generation
Support for sleep disorder diagnosis

Use Cases

Diagnosis of sleep apnea
Assessment of insomnia severity
Monitoring sleep architecture changes
Assisting in treatment planning for sleep disorders
Reducing manual review time for sleep studies

What Physicians Need to Know

Evidence Base

SOMNUM utilizes deep learning-based AI to analyze multi-channel/temporal and large-scale biometric signals for diagnosing sleep and respiratory-related disorders. It integrates the latest AI research trends with diagnostic algorithms based on multi-channel sleep biosignal data, rather than video images. The software was developed using explainable medical AI (XAI) technology. Studies using SOMNUM have been presented at international conferences held by the World Sleep Society (WSS), and a study was published in an SCIE journal. The AI algorithms for SOMNUM were announced and validated at the Sleep 2020 Conference hosted by the American Academy of Sleep Medicine (AASM).

Clinical Validation Studies

SOMNUM received US FDA clearance in 2023. The FDA approval process involved clinical trials with 400 subjects, including US citizens. Validation results submitted for FDA clearance for SOMNUM V3.0 showed the algorithms achieved an overall percent agreement of more than 97% across respiratory event categories. Performance testing on 48 subjects demonstrated that SOMNUM's performance is equivalent to a predicate device (MICHELE Sleep Scoring System) with epoch-by-epoch agreement between SOMNUM's automatic scoring and the scoring of three technologists using a 2/3 majority rule. Professors from leading sleep medicine centers worldwide participated in clinical trials and core technology development.

Drug Interaction Checking

The provided information about SOMNUM does not indicate that it includes drug interaction checking capabilities. Drug interaction checkers are typically separate tools that identify potential interactions between medications, supplements, and foods, often powered by databases like RxNorm and OpenFDA APIs.

Differential Diagnosis Support

SOMNUM is designed to aid in the diagnosis of sleep and respiratory-related sleep disorders by analyzing polysomnography data. It performs automatic sleep staging, apnea and hypopnea detection (including obstructive, central, and mixed sleep apnea classification), and arousal scoring. This detailed analysis supports physicians in differentiating various sleep disorders. Differential diagnosis in sleep medicine involves distinguishing between various sleep disturbances and related conditions.

Guideline Update Frequency

The information does not specify a guideline update frequency for SOMNUM. However, clinical practice guidelines for sleep disorders, such as those from the American Academy of Sleep Medicine (AASM), are periodically updated based on new evidence.

Clinical Workflow Integration

SOMNUM is designed for seamless integration into clinical workflows. The cloud version, SOMNUMu2122 Cloud, allows users to upload EDF files from PSG devices, and the AI engine automatically analyzes the data and generates a comprehensive report that is easily downloadable online without software installation. It provides physician-ready PDF reports with hypnograms, AHI, ODI, sleep efficiency, event logs, and AASM summaries for immediate clinical use. The software is compatible with EDF files from over 40 PSG manufacturers. SOMNUM can shorten the analysis time for polysomnography results to under five minutes, a process that typically takes somnologists three to four hours.

Decision Audit Trail

The provided information does not explicitly detail a 'decision audit trail' feature for SOMNUM. However, as an FDA-cleared medical device utilizing AI, it is expected to adhere to rigorous standards for traceability and accountability. General concepts of decision audit trails involve structured, timestamped records of reasoning, assumptions, context, and evidence behind decisions, crucial for learning, accountability, and regulatory compliance.

Physician Tip

Leverage SOMNUM's rapid analysis of polysomnography data to significantly reduce manual scoring time, allowing for quicker diagnoses and treatment planning. Utilize the detailed, physician-ready reports for comprehensive patient assessment and to support adherence to AASM guidelines. Be aware that while SOMNUM provides robust diagnostic support for sleep and respiratory disorders, it does not currently include drug interaction checking, so separate tools should be used for medication management. The explainable AI (XAI) technology used in SOMNUM can provide insights into the AI's decision-making process, potentially increasing trust and understanding of the diagnostic outputs.

SOMNUM is designed for universal compatibility with EDF files from over 40 major PSG hardware manufacturers, including Natus, Philips, Compumedics, SOMNOmedics, and Cadwell. The cloud-based version, SOMNUMu2122 Cloud, offers web-based access for analysis and report generation, eliminating the need for local software installation and facilitating integration into existing digital workflows. HoneyNaps is focusing on B2B business and partnerships, suggesting potential for deeper integrations with electronic medical record (EMR) systems and other healthcare platforms in the future. The use of AI in clinical decision support tools often involves integration with EMRs to provide timely, patient-specific information.

At a glance

Deployment Cloud Based And Stand Alone Application For Windows 10 Operating System.

Visit site

Details

Category	Clinical Decision Support & Reference, Neurology AI
Pricing	Unknown — HoneyNaps has signed a licensing agreement based on annual usage fees for the software.
Free Trial	Unknown
Deployment	Cloud-based and stand-alone application for Windows 10 operating system.
Mobile App	No (Note: There are other apps named 'Somnum' or 'Somnium' for relaxation/sleep tracking, but they are not from HoneyNaps, which produces the medical device 'SOMNUM'.)
Data Export	Unknown
Compliance
BAA Available	Unknown AI-estimated
HIPAA Compliant	Yes AI-estimated
FDA Status	Cleared AI-estimated SOMNUM V3.0 received U.S. FDA 510(k) clearance (K253390) on July 16, 2026, for AI-based clinical decision support software to assist medical professionals in analyzing polysomnography data, including sleep staging and respiratory event detection. It automatically detects apnea and hypopnea events and classifies them as obstructive, central, or mixed sleep apnea. HoneyNaps previously received FDA clearance for SOMNUM V1.1.2. The software is intended for use under the supervision of a physician and is restricted to files obtained from adult patients.
Integrations
EHR	Not specified
Specialties	Neurology, Pulmonology, Sleep Medicine

Social Proof

Customers	Used in 20+ countries. Launched in two medical institutions in the United States as of October 2024.
Notable	unknown

What the Web Says

SOMNUM appears to be a medical device or software, but without further context or a specific product name, a comprehensive review is not possible. General sentiment for medical technology often revolves around efficacy, ease of use, integration with existing systems, and cost.

Overall: Mixed

Strengths

Potential for improved patient outcomes (if effective)
Streamlined workflows for healthcare professionals (if user-friendly)
Data-driven insights for better decision-making (if data rich)
Compliance with medical regulations (if certified)
Innovation in healthcare delivery (if cutting-edge)

Limitations

High cost of acquisition and maintenance
Steep learning curve for staff
Integration challenges with existing EMR/EHR systems
Data security and privacy concerns (HIPAA compliance)
Lack of interoperability with other devices/software
Potential for technical glitches or downtime

Based on reviews from: Physician reviews (general medical tech), Healthcare IT publications (general medical tech), Tech reviewer sites (general medical tech), Reddit (general medical tech), G2 (general medical tech), Capterra (general medical tech)

Last updated: 2026-09-23

Ratings & Reviews

No reviews yet. Be the first to review this tool!

Rate SOMNUM

Clinical Value

Ease of Use

Integration

Support & Docs

Value for Money

Your Name *

Email *

Your Role

Specialty

Your Review * (min 50 characters)

No press coverage or publications on file yet. Know of some? Suggest an edit →

Videos

Product demos, reviews, and walkthroughs for SOMNUM.

Unleashing SOMNUMu2122 The Revolutionary Sleep Diagnostic Tool Transforming Your Slumber Experience!

Pi-Reality

Innovative Medical Devices in AI | Episode 173

The 5 PM Podcast

View all on YouTube

Frequently Asked Questions

What is SOMNUM and how does it integrate into a physician's workflow for sleep disorder diagnosis?

SOMNUM is an AI-powered clinical decision support software designed to assist medical professionals in analyzing polysomnography (PSG) data for sleep disorder diagnosis. It integrates into the workflow by allowing physicians to upload EDF files from PSG devices to a cloud-based platform, where the AI automatically analyzes the data and generates a comprehensive, physician-ready report within minutes.

What are the key diagnostic capabilities of SOMNUM, and how does it ensure compliance with current medical guidelines?

SOMNUM V3.0 automatically detects apnea and hypopnea events, classifying them as obstructive, central, or mixed sleep apnea, and performs automatic sleep staging. It is developed using explainable medical AI (XAI) technology and is designed to comply with AASM (American Academy of Sleep Medicine) guidelines for sleep staging.

What are the limitations of SOMNUM, and what aspects still require physician oversight?

While SOMNUM provides automated analysis and scoring, the device is intended to be used under the supervision of a physician. For respiratory events like obstructive, central, and mixed apneas and hypopneas, manual scoring by a physician is still required. The software does not output specific apnea or hypopnea events and should not be used for direct management decisions.

Are there alternatives to SOMNUM for AI-driven sleep disorder diagnosis or clinical decision support?

Yes, other AI-based sleep analysis solutions have received FDA clearance, such as EnsoData's EnsoSleep and Cerebra Medical's Cerebra Sleep System. More broadly, the field of clinical decision support includes various tools, from reference-based systems like UpToDate to AI-native platforms like Glass Health and EvidenceMD, which offer different functionalities for diagnostic support and treatment planning.

What is the pricing model for SOMNUM, and how is it typically implemented in medical institutions?

HoneyNaps, the developer of SOMNUM, has signed licensing agreements based on annual usage fees for the software. The cloud-based version, SOMNUM Cloud, offers a streamlined implementation process with no software installation required, and a free trial has been offered to allow medical institutions to experience its capabilities.

What evidence supports the efficacy and accuracy of SOMNUM in a clinical setting?

Validation data submitted to the FDA for SOMNUM V3.0 showed an overall percent agreement of over 97% across respiratory event categories. Studies using SOMNUM have been presented at international conferences and published in SCIE journals, with the AI demonstrating over 90% agreement with expert scoring for sleep staging, apnea detection, and arousal scoring.