Deep learning algorithms for detection of critical findings in head CT scans: a retrospective study

The Lancet

Volumn 392, Issue 10162, 2018, Pages 2388-2396

  Chilamkurthy, Sasank ^a   Ghosh, Rohit ^a   Tanamala, Swetha ^a   Biviji, Mustafa ^b   Campeau, Norbert G ^c   Venugopal, Vasantha Kumar ^d   Mahajan, Vidur ^d   Rao, Pooja ^a   Warier, Prashant ^a  

^a Qureai Company   (India)

^b CT MRI Center   (India)

^c MAYO CLINIC   (United States)

^d Jamia Hamdard   (India)

Author keywords

[No Author keywords available]

Indexed keywords

ADOLESCENT; ADULT; AGED; ARTICLE; BRAIN HEMORRHAGE; BRAIN RADIOGRAPHY; CHILD; COMPUTER ASSISTED TOMOGRAPHY; CONTROLLED STUDY; DISEASE CLASSIFICATION; DISEASE SEVERITY; FEMALE; FOLLOW UP; GOLD STANDARD; HUMAN; INDIA; LEARNING ALGORITHM; MAJOR CLINICAL STUDY; MALE; PRIORITY JOURNAL; RETROSPECTIVE STUDY; SKULL FRACTURE; SUBARACHNOID HEMORRHAGE; SUBDURAL HEMATOMA; VALIDATION STUDY; ALGORITHM; BRAIN INJURY; DIAGNOSTIC IMAGING; EMERGENCY HEALTH SERVICE; HEAD; INFORMATION PROCESSING; INJURY SCALE; PROCEDURES; X-RAY COMPUTED TOMOGRAPHY;

ALGORITHMS; BRAIN INJURIES; DATASETS AS TOPIC; DEEP LEARNING; HEAD; HUMANS; INTRACRANIAL HEMORRHAGES; RETROSPECTIVE STUDIES; SKULL FRACTURES; TOMOGRAPHY, X-RAY COMPUTED; TRAUMA SEVERITY INDICES; TRIAGE;

EID: 85058466258     PISSN: 01406736     EISSN: 1474547X     Source Type: Journal    
DOI: 10.1016/S0140-6736(18)31645-3     Document Type: Article

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