Conditions required for the artificial-intelligence-based computer-aided detection of tuberculosis to attain its global health potential.

David, Pierre-Marie; Onno, Julien; Keshavjee, Salmaan; Ahmad Khan, Faiz

David, Pierre-Marie; Onno, Julien; Keshavjee, Salmaan; Ahmad Khan, Faiz.

David PM; Faculty of Pharmacy, University of Montréal, Montréal, QC, Canada; Observatoire sur les impacts sociétaux de l'IA et du numérique, Quebec City, QC, Canada. Electronic address: pierre-marie.david@umontreal.ca.
Onno J; Faculty of Pharmacy, University of Montréal, Montréal, QC, Canada; Observatoire sur les impacts sociétaux de l'IA et du numérique, Quebec City, QC, Canada.
Keshavjee S; Department of Global Health and Social Medicine and Centre for Global Health Delivery, Harvard Medical School, Harvard University, Boston, MA, USA; Division of Global Health Equity, Brigham and Women's Hospital, Boston, MA, USA.
Ahmad Khan F; Observatoire sur les impacts sociétaux de l'IA et du numérique, Quebec City, QC, Canada; McGill International TB Centre, Respiratory Epidemiology and Clinical Research Unit, Montréal, QC, Canada; Centre for Outcomes Research and Clinical Evaluation, Research Institute of the McGill University Health

Lancet Digit Health ; 4(10): e702-e704, 2022 10.

Article in English | MEDLINE | ID: covidwho-2221543

Subject(s)

Global Health; Tuberculosis; Artificial Intelligence; Computers; Humans; Intelligence; Tuberculosis/diagnosis

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Tuberculosis / Global Health Type of study: Diagnostic study Limits: Humans Language: English Journal: Lancet Digit Health Year: 2022 Document Type: Article

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