Artificial intelligence assisted endoscopic ultrasound for detection of pancreatic space-occupying lesion: a systematic review and meta-analysis.

Autor: Dhali A; NIHR Academic Clinical Fellow in Gastroenterology, University of Sheffield; Internal Medicine Trainee, Sheffield Teaching Hospitals NHS Foundation Trust, Sheffield, UK., Kipkorir V; School of Medicine, Faculty of Health Sciences, University of Nairobi, Nairobi, Kenya., Srichawla BS; University of Massachusetts Chan Medical School, Worcester, MA., Kumar H; Dow University of Health Sciences, Karachi, Pakistan., Rathna RB; University Hospitals Birmingham, Birmingham, UK., Ongidi I; School of Medicine, Faculty of Health Sciences, University of Nairobi, Nairobi, Kenya., Chaudhry T; School of Medicine, Faculty of Health Sciences, University of Nairobi, Nairobi, Kenya., Morara G; School of Medicine, Faculty of Health Sciences, University of Nairobi, Nairobi, Kenya., Nurani K; School of Medicine, Faculty of Health Sciences, University of Nairobi, Nairobi, Kenya., Cheruto D; School of Medicine, Faculty of Health Sciences, University of Nairobi, Nairobi, Kenya., Biswas J; College of Medicine and Sagore Dutta Hospitals., Chieng LR; NIHR Academic Clinical Fellow in Gastroenterology, University of Sheffield; Internal Medicine Trainee, Sheffield Teaching Hospitals NHS Foundation Trust, Sheffield, UK., Dhali GK; School of Digestive and Liver Diseases, Institute of Postgraduate Medical Education and Research, Kolkata, India.

Publikováno v: International journal of surgery (London, England) [Int J Surg] 2023 Dec 01; Vol. 109 (12), pp. 4298-4308. Date of Electronic Publication: 2023 Dec 01.