Florian Soudan

Students’ voices on generative AI: perceptions, benefits, and challenges in higher education

A comparison of deep learning performance against health-care professionals in detecting diseases from medical imaging: a systematic review and meta-analysis

Real-time automatic detection system increases colonoscopic polyp and adenoma detection rates: a prospective randomised controlled study

A deep learning algorithm using CT images to screen for Corona virus disease (COVID-19)

AI in health and medicine

Classification for invasion depth of esophageal squamous cell carcinoma using a deep neural network compared with experienced endoscopists

Development and validation of a deep-learning algorithm for the detection of polyps during colonoscopy

Magnitude, Risk Factors, and Factors Associated With Adenoma Miss Rate of Tandem Colonoscopy: A Systematic Review and Meta-analysis

High-performance medicine: the convergence of human and artificial intelligence

Designing deep learning studies in cancer diagnostics

Deep learning in histopathology: the path to the clinic

Contrast-enhanced computed tomography image assessment of cervical lymph node metastasis in patients with oral cancer by using a deep learning system of artificial intelligence

Artificial intelligence versus clinicians: systematic review of design, reporting standards, and claims of deep learning studies

Key challenges for delivering clinical impact with artificial intelligence

Artificial intelligence in health care: preparing for the fifth Industrial Revolution

Attitudes and perceptions of dental students towards artificial intelligence

Machine Learning in Medicine

Can AI Help in Screening Viral and COVID-19 Pneumonia?

Actions and approaches for enabling Industry 5.0‐driven sustainable industrial transformation: A strategy roadmap

Real-time differentiation of adenomatous and hyperplastic diminutive colorectal polyps during analysis of unaltered videos of standard colonoscopy using a deep learning model