DR. KHAN MOHAMMAD SIDDIQUI, MD
Radiology at Greene St, Baltimore, MD

License number
Maryland MD421401
Category
Radiology
Type
Body Imaging
License number
Maryland MD421401
Category
Radiology
Type
Neuroradiology
License number
Maryland MD421401
Category
Radiology
Type
Nuclear Radiology
License number
Maryland MD421401
Category
Radiology
Type
Pediatric Radiology
License number
Maryland MD421401
Category
Radiology
Type
Diagnostic Radiology
License number
Maryland MD421401
Category
Radiology
Type
Diagnostic Ultrasound
Address
Address 2
10 N Greene St, Baltimore, MD 21201
11 Donagh Ct, Lutherville Timonium, MD 21093
Phone
(410) 605-7175

Personal information

See more information about KHAN MOHAMMAD SIDDIQUI at radaris.com
Name
Address
Phone
Khan Siddiqui
PO Box 14, Highland, MD 20777
(443) 345-3350

Professional information

See more information about KHAN MOHAMMAD SIDDIQUI at trustoria.com
Khan M Siddiqui Photo 1
Khan M Siddiqui, Baltimore MD

Khan M Siddiqui, Baltimore MD

Specialties:
Diagnostic Radiology
Age:
50
Address:
10 N Greene St, Baltimore 21201
(410) 605-7175 (Phone)
Certifications:
Diagnostic Radiology, 2003
Awards:
Healthgrades Honor Roll
Languages:
English
Education:
Residency Hospital
Geisinger Med Center
Nyu Hospitals Center


Khan Siddiqui Photo 2
System And Method For Processing User Interaction Information From Multiple Media Sources

System And Method For Processing User Interaction Information From Multiple Media Sources

US Patent:
2008012, May 22, 2008
Filed:
Nov 22, 2006
Appl. No.:
11/562581
Inventors:
Mark Morita - Arlington Heights IL, US
Prakash Mahesh - Hoffman Estates IL, US
Murali Kumaran Kariathungal - Hoffman Estates IL, US
Jeffrey James Whipple - Severn MD, US
Denny Wingchung Lau - Redwood City CA, US
Eliot Lawrence Siegel - Severna Park MD, US
Khan Mohammad Siddiqui - Timonium MD, US
International Classification:
G06F 3/00
US Classification:
715717
Abstract:
A system and method for processing data on user interactions with a workstation. The system comprises an information system that includes a data storage device. An audio microphone capable of capturing workstation user voice data is linked to the information system. An eye-tracking device capable of capturing workstation user eye-movement data is linked to the information system. A display screen capture routine capable of capturing video display data from a workstation display is linked to the information system. A user input capture routine capable of capturing input data entered into the workstation by the workstation user is linked to the information system. The voice data, eye-movement data, video display data and input data for the workstation user are captured simultaneously and the data are recorded on the data storage device with time information that allows synchronization of the data.


Khan Siddiqui Photo 3
Systems And Methods For Generating A Teaching File Message

Systems And Methods For Generating A Teaching File Message

US Patent:
8600771, Dec 3, 2013
Filed:
Nov 21, 2007
Appl. No.:
11/943844
Inventors:
Prakash Mahesh - Hoffman Estates IL, US
Murali Kariathungal - Hoffman Estates IL, US
Jeffrey James Whipple - Severn MD, US
Khan Siddiqui - Timonium MD, US
Assignee:
General Electric Company - Schenectady NY
International Classification:
G06Q 50/00
US Classification:
705 2
Abstract:
Certain embodiments present a system for generating a medical teaching file message. An image identifier labels medical images based upon information pertaining to user interaction with the image. The system also provides an image search engine that scans and indexes images within a database based on a set of rules. The image search engine generates a subset of images from a larger group of medical images within a database based upon the rules. The system also includes a supporting data selection engine for accepting a free text search query from an interface. The supporting data selection engine scans medical databases based on the free text search query, and provides the supporting data search results via an interface. A teaching file message is generated either automatically or manually from the subset of images and the supporting data search results for transmission to a teaching file.