Thomas H Li MD

Physician

2300 Haggerty RoadSuite 2190West Bloomfield, MI 48323
Phone+1 248-960-1122
Fax+1 248-246-0506

Dr. Li is on Doximity

As a Doximity member, you’ll join more than three million U.S. healthcare professionals—including 85+% of physicians, and 2/3 of all NPs and PAs—in a private, secure network.

Gain access to free telehealth tools, such as our “call shielding” and one-way patient texting.
Connect with colleagues in the same hospital or clinic.
Read the latest clinical news, personalized to your specialty.

See Dr. Li's full profile Already have an account?

Education & Training

Corewell Health East Beaumont (Royal Oak)Residency, Internal Medicine, 1998 - 2001
Wayne State University School of MedicineClass of 1998

The following disclaimer is related to board certifications obtained from ABMS®, denoted by the ABMS® logo.

This information is proprietary data maintained in a copyrighted database owned by the American Board of Medical Specialties®. The display and presence of ABMS Data in no way constitutes any affiliation, association with, or endorsement of any advertising, promotion, or sponsorship by ABMS and its affiliates and subsidiaries, the ABMS Member Boards, or ABMS board certified physicians and medical specialists. Copyright 2026 American Board of Medical Specialties®. All rights reserved.

The user is responsible for ensuring that the profile obtained in this directory is the profile of the physician or medical specialist being sought.

A self-designated specialty, subspecialty, or practice area neither implies nor is equivalent to ABMS board certification or the existence of specialized training by or competence of a physician or medical specialist.

Certifications & Licensure

MI State Medical License 2000 - 2028
American Board of Internal Medicine Internal Medicine

Grant Support

Risk stratifying indeterminate pulmonary nodules with jointly learned features from longitudinal radiologic and clinical big dataVANDERBILT UNIVERSITY2023–2026
Risk stratifying indeterminate pulmonary nodules with jointly learned features from longitudinal radiologic and clinical big dataVANDERBILT UNIVERSITY2023–2026