Umme Hani Khan

Umme Hani Khan

AI Researcher @ Synapsica Healthcare

About Umme Hani Khan

Umme Hani Khan is an AI Researcher with a strong background in medical radiology and imaging technology. She has worked at various healthcare institutions in Delhi, including BLK Super Speciality Hospital and Max Healthcare, and has been with Synapsica since 2021.

Work at Synapsica Healthcare

Umme Hani Khan has been employed as an AI Researcher at Synapsica since 2021. In this role, she focuses on the integration of artificial intelligence within the healthcare sector, particularly in medical imaging. Her work contributes to advancements in diagnostic processes and patient management, utilizing her expertise in medical radiology.

Education and Expertise

Umme Hani Khan possesses a strong educational background in medical radiology and imaging technology. She is currently pursuing a Master's degree at Jamia Hamdard University, specializing in Medical Radiology. She previously completed a Bachelor of Science in Medical Imaging Technology from the same institution, graduating in 2020.

Background

Umme Hani Khan began her medical career with internships at notable healthcare facilities. She worked as a Medical Intern at BLK Super Speciality Hospital for six months in 2019 and later at Max Healthcare for five months from 2019 to 2020. Additionally, she has experience as a paramedic at Safdarjung Hospital, where she contributed to patient care and emergency response.

Professional Experience in Medical Imaging

Umme Hani Khan has gained significant experience in medical imaging and patient management through her roles at various healthcare institutions. Her tenure at Max Smart Super Speciality Hospital further enhanced her skills in this field, allowing her to apply her academic knowledge in practical settings.

Early Education

Umme Hani Khan completed her early education at St. Xavier School in Delhi. This foundational education set the stage for her pursuit of a career in the medical field, leading her to specialize in medical radiology and imaging technology.

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