GleanMark

RSVIP Trademark

RSVIP is a USPTO trademark filed by Kheiron Medical Technologies Ltd.. Status: Registered.

Trademark Facts

MarkRSVIP
Serial Number90681768
Registration Number6711878
StatusRegistered
Filing Date2021-04-29
Registration Date2022-04-26
Mark TypeWord
Nice Classes009 (Electronics & Software), 042 (Software & IT)
OwnerKheiron Medical Technologies Ltd.
Attorney of RecordKumiko Ide
Prosecution Events21
Latest EventEWAF on 2025-08-11

Goods & Services

Downloadable software for reading, processing, examining, interpreting and analyzing mammograms; Downloadable software for reading, processing, examining, interpreting and analyzing radiological images and other digital images in diagnostic imaging; Downloadable software for diagnosing breast cancer; Downloadable software using artificial intelligence (AI), machine learning, and deep learning for reading, processing, examining, interpreting and analyzing mammograms; Downloadable software using artificial intelligence (AI), machine learning, and deep learning for reading, processing, examining, interpreting and analyzing radiological images and other digital images in diagnostic imaging; Downloadable software using artificial intelligence (AI), machine learning, and deep learning for diagnosing breast cancer | Providing temporary use of non-downloadable software for reading, processing, examining, interpreting and analyzing mammograms; Providing temporary use of non-downloadable software for reading, processing, examining, interpreting and analyzing radiological images and other digital images in diagnostic imaging; Providing temporary use of non-downloadable software for diagnosing breast cancer; Providing temporary use of non-downloadable software using artificial intelligence (AI), machine learning, and deep learning for reading, processing, examining, interpreting and analyzing mammograms; Providing temporary use of non-downloadable software using artificial intelligence (AI), machine learning, and deep learning for reading, processing, examining, interpreting and analyzing radiological images and other digital images in diagnostic imaging; Providing temporary use of nondownloadable software using artificial intelligence (AI), machine learning, and deep learning for diagnosing breast cancer

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