Center for Biomedical Imaging (CBI) NYU Langone Health, Radiology Department

★★★☆☆ 3.1 | 19 reviews | 21 views

Business Details

Accessibility
Wheelchair accessible entrance
Wheelchair accessible parking lot
Wheelchair accessible restroom
Amenities
Restroom
Planning
Appointment required
Appointments recommended
Payments
Credit cards
Debit cards
NFC mobile payments

About

The Center for Biomedical Imaging (CBI) at NYU Langone Health, located within the Radiology Department, is a premier medical diagnostic imaging center serving patients in Midtown Manhattan. Situated at 660 1st Ave. on the 1st floor, the facility provides essential imaging services in a professional and accessible setting. With a commitment to precision and patient care, CBI operates as a key resource for diagnostic needs within the NYU Langone Health network.

As part of the renowned NYU Langone Health system, the Center for Biomedical Imaging upholds the institution’s standards of excellence in medical diagnostics. The center’s location in Midtown Manhattan ensures convenience for patients seeking advanced imaging services in a central urban hub. The facility’s hours and operational details reflect its dedication to accommodating patient schedules while maintaining high professional standards.

Patients and referring physicians can reach the Center for Biomedical Imaging at +1 212-263-8868 for inquiries or appointments. The center’s rating of 3.3/5 underscores its ongoing efforts to refine service quality and patient satisfaction. With a focus on diagnostic accuracy and efficiency, CBI remains a trusted provider within the NYU Langone Health Radiology Department.

The professional environment at CBI is designed to support both clinical and research imaging needs, aligning with NYU Langone Health’s broader mission. The center’s strategic placement in New York City’s medical corridor reinforces its role as a critical diagnostic resource. For those requiring imaging services, the Center for Biomedical Imaging offers a reliable and expert-driven approach to medical diagnostics.

Technical Info

Machine ID /g/11b7k8c3ld
Feature ID 0x89c259052a245485:0x157eb69f493bc5ed
Created 04 Jan 2025
Updated 07 Jul 2026

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