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Engineering and clinical use of artificial intelligence (AI) with machine learning and data science advancements: radiology leading the way for future.
Hameed, B M Zeeshan; Prerepa, Gayathri; Patil, Vathsala; Shekhar, Pranav; Zahid Raza, Syed; Karimi, Hadis; Paul, Rahul; Naik, Nithesh; Modi, Sachin; Vigneswaran, Ganesh; Prasad Rai, Bhavan; Chlosta, Piotr; Somani, Bhaskar K.
Afiliação
  • Hameed BMZ; Department of Urology, Father Muller Medical College, Mangalore, Karnataka, India.
  • Prerepa G; Department of Electronics and Communication, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal, Karnataka, India.
  • Patil V; Department of Oral Medicine and Radiology, Manipal College of Dental Sciences, Manipal, Manipal Academy of Higher Education, Manipal, Karnataka 576104, India.
  • Shekhar P; Department of Computer Science and Engineering, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal, Karnataka, India.
  • Zahid Raza S; Department of Urology, Dr. B.R. Ambedkar Medical College, Bengaluru, Karnataka, India.
  • Karimi H; Manipal College of Pharmaceutical Sciences, Manipal Academy of Higher Education, Manipal, Karnataka, India.
  • Paul R; Department of Radiation Oncology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
  • Naik N; International Training and Research in Uro-oncology and Endourology (iTRUE) Group, Manipal, India.
  • Modi S; Department of Interventional Radiology, University Hospital Southampton NHS Foundation Trust, Southampton, UK.
  • Vigneswaran G; Department of Interventional Radiology, University Hospital Southampton NHS Foundation Trust, Southampton, UK.
  • Prasad Rai B; International Training and Research in Uro-oncology and Endourology (iTRUE) Group Manipal, India.
  • Chlosta P; Department of Urology, Jagiellonian University in Kraków, Kraków, Poland.
  • Somani BK; International Training and Research in Uro-oncology and Endourology (iTRUE) Group, Manipal, India.
Ther Adv Urol ; 13: 17562872211044880, 2021.
Article em En | MEDLINE | ID: mdl-34567272

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Guideline Idioma: En Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Guideline Idioma: En Ano de publicação: 2021 Tipo de documento: Article