Matthew Susko, M.D.
Radiation Oncology (CMS) · Oakland, CA
Shared published services3 shared services · view billing descriptions
89%Service-mix similarity~3.2 milesView profile →
Similar work.
More providers to explore.
Compare the published Medicare service mix of James Lawrence Rembert, MD with clinicians in the same registry specialty: Radiation Oncology (CMS).
BERKELEY, CA · 10 milesEdit location
Within 10 miles · Approximate ZIP-area distance
Approximate straight-line distances between ZIP-area centers; a city search starts from the average of its ZIP centers. Uses the primary reported practice ZIP, not an exact office address or driving distance. Records without matched coordinates are excluded. How distance works
2024 published service data · 8 eligible profiles compared. Similarity describes billing patterns, not quality, outcomes, or suitability for your care.
John Richard Salzman, MD
Radiation Oncology (CMS) · Oakland, CA
Shared published services3 shared services · view billing descriptions
86%Service-mix similarity~2.5 milesView profile →
Gopal Sachdeva, MD
Radiation Oncology (CMS) · Emeryville, CA
Shared published services3 shared services · view billing descriptions
68%Service-mix similarity~2.5 milesView profile →
Alexander Geng, M.D.
Radiation Oncology (CMS) · San Francisco, CA
Shared published services3 shared services · view billing descriptions
64%Service-mix similarity~9.7 milesView profile →
Madhu B Shetti, M.D.
Radiation Oncology (CMS) · San Pablo, CA
Shared published services3 shared services · view billing descriptions
63%Service-mix similarity~7.8 milesView profile →
Moshiur Mekhail Anwar, M.D., PH.D.
Radiation Oncology (CMS) · San Francisco, CA
Shared published services3 shared services · view billing descriptions
56%Service-mix similarity~9.5 milesView profile →
How this comparison works
We use the same calendar year of CMS Medicare Physician & Other Practitioners data for both providers. Published non-drug service counts are combined by HCPCS code across places of service. We apply log(1 + count), normalize the vectors, and compare them using cosine similarity.
Candidates share the reference provider’s current NPPES primary taxonomy and match the location you enter. We examine up to 500 candidates in approximate distance order, then show up to 12 with the highest positive similarity within that set. The score is not a percentile, medical recommendation, or prediction. Suppressed services are not estimated. Medicare fee-for-service data does not describe a provider’s entire practice.
Source: CMS Medicare Physician & Other Practitioners - by Provider and Service : 2024-12-01 · Published May 21, 2026.