Oxipit.aiלהסתייע במומחיות חישובי לשם בעיות ראייה מדעית בעבודת זרימת תמונתיים מדעי

4.7 (6)

נבדק על ידי Daniel Nikulshyn·עודכן יולי 2026

Healthcare Medical Imaging Computer Vision Radiology Clinical AI Enterprise PACS Integration

סקירה

Oxipit.ai הוא פלטפורמה של ראייה חישובית לעבודת זרימת תמונתי מדעית, במיוחד רפואית. החברה מפיתחת פתרונות AI מומחשים שאושרו קלינית, כדי לשפר יעילות, לתמוך בעבודת זרימת חיצוני ולהשפיע על טיפול בנפגע. Oxipit מציע שלוש קבוצת עבודה שלם: Oxipit CXR Suite ל-X Ray של רופא חזה, Oxipit CT Suite קסט CT של רופא חזה, ו-Oxipit MSK Suite לחברת השליטה תצהיב העסקה של MSK Imaging. רחבה ינדופינוקאלי, ChestLink, אוטונומט 99.9% הרימס הזר קצבים ב-X Ray, בדייק 40% של מקור. המפלטפ חם ל מעובדי Radiology, Reduce oversights , Support Confidence decision - making . Oxipit יחם - תבצע Provider אחרים מ - health ירייקל וין 2018

תכונות עיקריות

דטקצית X - Ray Abnormality אוטומט
Case prioritization ו- Triage
Radiology reporting assistance
Quality assurance checks
PACS תצורת DICOM ס workflow integration
Clinical decision support for radiologists

תמחור

מודל: Freemium
קטגוריה: ראייה ממוחשבת
דירוג: 4.7 / 5 (6)

מקרי שימוש

Rafolog , Oxipit use for automatically detect Abnormality , in chest X - Rays, Reducing missed findings , Supporting more consistent diagnostic interpretation .

Hastings use Oxipit to Prioritize critical chest imaging studies through AI - driven triage , Helping radiology teams address tenses cases faster within their PACS workflow

Imagining department leverage Automated QA checks to catch potential oversights and maintain reporting quality across high - volume chest X - Ray workloads

Clinicians streamline radiology report creation using AI - generated findings as decision support , improving documentation efficiency in everyday practice

יתרונות וחסרונות

יתרונות

Focused expertise in chest X - Ray analysis
CE - marked , של regulatory approval for clinical use ב- Europe
Integrates existing PACS and radiology systems
Support triage and reporting
efficiency

חסרונות

Limited primarily to chest imaging modalities
Requires regulatory approval per region for clinical use
Adoption depends on hospital IT integration

שיא קרבות

ב-1 קרב בפנתאון.

Last battle

#2
Computer Vision Showdown — August 26, 2024
Aug 26, 2024 · #2 of 3

ביקורות

4.7

ממוצע מ-6 דירוגים.

התחבר כדי להשאיר ביקורת.

Grace Okafor

Mar 16, 2026

Compared a few options

Evaluated this against two competitors. Where it wins: pACS and DICOM workflow integration and integrates with existing PACS and radiology systems. On balance the feature set — especially quality assurance checks — justifies the 5 stars for our use case.

Jamal Carter

Jan 13, 2026

Solid for our team

We rolled this out across the team last quarter and focused expertise in chest X-ray analysis. Quality assurance checks fits neatly into how we already work, and case prioritization and triage removed a step we used to do by hand. Adoption depends on hospital IT integration, which is the main caveat, but it has held up under daily use.

Hiroshi Tanaka

Oct 18, 2025

Solid for our team

We rolled this out across the team last quarter and integrates with existing PACS and radiology systems. Radiology reporting assistance fits neatly into how we already work, and case prioritization and triage removed a step we used to do by hand. but it has held up under daily use.

Mei-Ling Wong

Jun 12, 2025

Years in this space

I've evaluated a lot of these over the years. What stands out here is automated chest X-ray abnormality detection — handled better than most — and cE-marked for clinical use in Europe. Worth the time if this is your use case.

Diego Fernández

Jun 12, 2025

Does the job

Pretty happy overall. Clinical decision support for radiologists just works and integrates with existing PACS and radiology systems. but no dealbreakers — I'd recommend it to a friend without hesitating.

Olga Ivanova

Jun 9, 2025

Skeptical, then convinced

I went in skeptical — most tools in this space overpromise. It actually delivers on automated chest X-ray abnormality detection, and focused expertise in chest X-ray analysis caught me off guard. Adoption depends on hospital IT integration is why this isn't a perfect score, still, I'd recommend giving it a real trial.