An artificial intelligence-powered, patient-centric digital tool for self-management of chronic pain: a prospective, multicenter clinical trial.

Barreveld, Antje M; Rosén Klement, Maria L; Cheung, Sophia; Axelsson, Ulrika; Basem, Jade I; Reddy, Anika S; Borrebaeck, Carl A K; Mehta, Neel

Barreveld, Antje M; Rosén Klement, Maria L; Cheung, Sophia; Axelsson, Ulrika; Basem, Jade I; Reddy, Anika S; Borrebaeck, Carl A K; Mehta, Neel.

Afiliação

Barreveld AM; Department of Anesthesiology, Tufts University School of Medicine, Newton-Wellesley Hospital, Newton, MA 02462, United States.
Rosén Klement ML; Department of Immunotechnology, Lund University, Lund 221 00, Sweden.
Cheung S; PainDrainer AB, Sheeletorget, Medicon Village, Lund 223 81, Sweden.
Axelsson U; Office of Clinical Research, Newton-Wellesley Hospital, Newton, MA 02462, United States.
Basem JI; PainDrainer AB, Sheeletorget, Medicon Village, Lund 223 81, Sweden.
Reddy AS; Department of Anesthesiology, Division of Pain Management, Weill Cornell Medicine, New York, NY 10065, USA.
Borrebaeck CAK; Department of Anesthesiology, Division of Pain Management, Weill Cornell Medicine, New York, NY 10065, USA.
Mehta N; Department of Immunotechnology, Lund University, Lund 221 00, Sweden.

Pain Med ; 24(9): 1100-1110, 2023 09 01.

Article em En | MEDLINE | ID: mdl-37104747

Assuntos

Dor Crônica; Autogestão; Adulto; Humanos; Dor Crônica/terapia; Estudos Prospectivos; Inteligência Artificial; Assistência Centrada no Paciente

Palavras-chave

ACT; chronic pain; digital tool; patient-centric; self-management

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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Dor Crônica / Autogestão Tipo de estudo: Clinical_trials / Observational_studies Limite: Adult / Humans Idioma: En Revista: Pain Med Assunto da revista: NEUROLOGIA / PSICOFISIOLOGIA Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Estados Unidos

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