XII Jornada Mineira de Radiologia
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1º Dia - 6/19/26
2º Dia - 6/20/26

Como se envolver em inteligência artificial sendo apenas um radiologista abdominal Voltar

Ronaldo Baroni

Curso: Gastrointestinal e Geniturinário - Sessão 2 - Próstata e IA - Anna Gruber e Luciana Rugani

Artigo Autor(es) Referência
A concurrent, deep learning-based computer-aided detection system for prostate multiparametric MRI: a performance study involving experienced and less-experienced radiologists. Labus Sandra, Altmann Martin M, Huisman Henkjan, Tong Angela, Penzkofer Tobias, Choi Moon Hyung, Shabunin Ivan, Winkel David J, Xing Pengyi, Szolar Dieter H, Shea Steven M, Grimm Robert, von Busch Heinrich, Kamen Ali, Herold Thomas, Baumann Clemens European radiology. 2023 Jan; 33(Jan):64-76. doi: 10.1007/s00330-022-08978-y. pii: .
AI-Assisted vs Unassisted Identification of Prostate Cancer in Magnetic Resonance Images. Twilt Jasper J, Saha Anindo, Bosma Joeran S, Padhani Anwar R, Bonekamp David, Giannarini Gianluca, van den Bergh Roderick, Kasivisvanathan Veeru, Obuchowski Nancy, Yakar Derya, Elschot Mattijs, Veltman Jeroen, Fütterer Jurgen, Huisman Henkjan, de Rooij Maarten, JAMA network open. 2025 Jun; 8(Jun):e2515672. doi: 10.1001/jamanetworkopen.2025.15672. pii: e2515672.
Artificial Intelligence Compared to Radiologists for the Initial Diagnosis of Prostate Cancer on Magnetic Resonance Imaging: A Systematic Review and Recommendations for Future Studies. Syer Tom, Mehta Pritesh, Antonelli Michela, Mallett Sue, Atkinson David, Ourselin Sébastien, Punwani Shonit Cancers. 2021 Jul; 13(Jul):doi: 10.3390/cancers13133318. pii: 3318.
Artificial Intelligence for Clinical Diagnosis and Treatment of Prostate Cancer. Rabaan Ali A, Bakhrebah Muhammed A, AlSaihati Hajir, Alhumaid Saad, Alsubki Roua A, Turkistani Safaa A, Al-Abdulhadi Saleh, Aldawood Yahya, Alsaleh Abdulmonem A, Alhashem Yousef N, Almatouq Jenan A, Alqatari Ahlam A, Alahmed Hejji E, Sharbini Dalal A, Alahmadi Arwa F, Alsalman Fatimah, Alsayyah Ahmed, Mutair Abbas Al Cancers. 2022 Nov; 14(Nov):doi: 10.3390/cancers14225595. pii: 5595.
Artificial Intelligence in Magnetic Resonance Imaging-based Prostate Cancer Diagnosis: Where Do We Stand in 2021? Suarez-Ibarrola Rodrigo, Sigle August, Eklund Martin, Eberli Daniel, Miernik Arkadiusz, Benndorf Matthias, Bamberg Fabian, Gratzke Christian European urology focus. 2022 Mar; 8(Mar):409-417. doi: 10.1016/j.euf.2021.03.020. pii: S2405-4569(21)00099-7.
Artificial intelligence and radiologists in prostate cancer detection on MRI (PI-CAI): an international, paired, non-inferiority, confirmatory study. Saha Anindo, Bosma Joeran S, Twilt Jasper J, van Ginneken Bram, Bjartell Anders, Padhani Anwar R, Bonekamp David, Villeirs Geert, Salomon Georg, Giannarini Gianluca, Kalpathy-Cramer Jayashree, Barentsz Jelle, Maier-Hein Klaus H, Rusu Mirabela, Rouvière Olivier, van den Bergh Roderick, Panebianco Valeria, Kasivisvanathan Veeru, Obuchowski Nancy A, Yakar Derya, Elschot Mattijs, Veltman Jeroen, Fütterer Jurgen J, de Rooij Maarten, Huisman Henkjan, The Lancet. Oncology. 2024 Jul; 25(Jul):879-887. doi: 10.1016/S1470-2045(24)00220-1. pii: S1470-2045(24)00220-1.
Artificial intelligence for diagnosis and grading of prostate cancer in biopsies: a population-based, diagnostic study. Ström Peter, Kartasalo Kimmo, Olsson Henrik, Solorzano Leslie, Delahunt Brett, Berney Daniel M, Bostwick David G, Evans Andrew J, Grignon David J, Humphrey Peter A, Iczkowski Kenneth A, Kench James G, Kristiansen Glen, van der Kwast Theodorus H, Leite Katia R M, McKenney Jesse K, Oxley Jon, Pan Chin-Chen, Samaratunga Hemamali, Srigley John R, Takahashi Hiroyuki, Tsuzuki Toyonori, Varma Murali, Zhou Ming, Lindberg Johan, Lindskog Cecilia, Ruusuvuori Pekka, Wählby Carolina, Grönberg Henrik, Rantalainen Mattias, Egevad Lars, Eklund Martin The Lancet. Oncology. 2020 Feb; 21(Feb):222-232. doi: 10.1016/S1470-2045(19)30738-7. pii: S1470-2045(19)30738-7.
Artificial intelligence-assisted reading of non-contrast prostate MRI: application and concordance with expert interpretation in a screening population within the PROSA trial. Messina Emanuele, Borrelli Antonella, Mezzapesa Francesca, Laschena Ludovica, Lucciola Sara, Novelli Simone, Landini Nicholas, Pecoraro Martina, Sciarra Alessandro, Santini Daniele, Panebianco Valeria European radiology. 2026 Feb; doi: 10.1007/s00330-025-12269-7. pii: .
Deep learning-based artificial intelligence applications in prostate MRI: brief summary. Turkbey Baris, Haider Masoom A The British journal of radiology. 2022 Mar; 95(Mar):20210563. doi: 10.1259/bjr.20210563. pii: 20210563.
ESUR/ESUI position paper: developing artificial intelligence for precision diagnosis of prostate cancer using magnetic resonance imaging. Penzkofer Tobias, Padhani Anwar R, Turkbey Baris, Haider Masoom A, Huisman Henkjan, Walz Jochen, Salomon Georg, Schoots Ivo G, Richenberg Jonathan, Villeirs Geert, Panebianco Valeria, Rouviere Olivier, Logager Vibeke Berg, Barentsz Jelle European radiology. 2021 Dec; 31(Dec):9567-9578. doi: 10.1007/s00330-021-08021-6. pii: .
Evaluating Artificial Intelligence-Assisted Prostate Biparametric MRI Interpretation: An International Multireader Study. Gelikman David G, Yilmaz Enis C, Harmon Stephanie A, Huang Erich P, An Julie Y, Azamat Sena, Law Yan Mee, Margolis Daniel J A, Marko Jamie, Panebianco Valeria, Esengur Omer T, Lin Yue, Belue Mason J, Gaur Sonia, Bicchetti Marco, Xu Ziyue, Tetreault Jesse, Yang Dong, Xu Daguang, Lay Nathan S, Gurram Sandeep, Shih Joanna H, Merino Maria J, Lis Rosina, Choyke Peter L, Wood Bradford J, Pinto Peter A, Turkbey Baris AJR. American journal of roentgenology. 2025 Dec; 225(Dec):e2432399. doi: 10.2214/AJR.24.32399. pii: .
MRI-based Deep Learning Algorithm for Assisting Clinically Significant Prostate Cancer Detection: A Bicenter Prospective Study. Lee Young Joon, Moon Hyong Woo, Choi Moon Hyung, Eun Jung Seung, Park Yong Hyun, Lee Ji Youl, Kim Dong Hwan, Eun Rha Sung, Kim Sang Hoon, Lee Kyu Won, Choi Yeong-Jin, Lee Young Sub, Lee Woojoo, Lee Seungjae, Grimm Robert, von Busch Heinrich, Han Dongyeob, Lou Bin, Kamen Ali Radiology. 2025 Mar; 314(Mar):e232788. doi: 10.1148/radiol.232788. pii: .
Research progress on deep learning in magnetic resonance imaging-based diagnosis and treatment of prostate cancer: a review on the current status and perspectives. He Mingze, Cao Yu, Chi Changliang, Yang Xinyi, Ramin Rzayev, Wang Shuowen, Yang Guodong, Mukhtorov Otabek, Zhang Liqun, Kazantsev Anton, Enikeev Mikhail, Hu Kebang Frontiers in oncology. 2023 ; 13():1189370. doi: 10.3389/fonc.2023.1189370. pii: 1189370.
Tasks for artificial intelligence in prostate MRI. Belue Mason J, Turkbey Baris European radiology experimental. 2022 Jul; 6(Jul):33. doi: 10.1186/s41747-022-00287-9. pii: 33.
Nenhuma revista foi definida para este congresso.