BEGIN:VCALENDAR VERSION:2.0 PRODID:-//wp-events-plugin.com//7.3.3//EN TZID:Pacific/Auckland X-WR-TIMEZONE:Pacific/Auckland BEGIN:VEVENT UID:10134@gleanreport.com DTSTART;TZID=Pacific/Auckland:20251210T120000 DTEND;TZID=Pacific/Auckland:20251210T130000 DTSTAMP:20251126T074837Z URL:https://www.gleanreport.com/events/lars-egevad/ SUMMARY:Artificial intelligence in prostate pathology. A seminar by Lars Eg evad *IN PERSON or ONLINE* DESCRIPTION:Malaghan Institute seminar\n\nArtificial intelligence in prosta te pathology\nArtificial intelligence (AI) is an emerging tool in many fie lds of diagnostic pathology including the assessment of prostate biopsies. Several commercially available AI systems designed specifically for prost ate biopsy reporting have been launched. They have the potential to assist in both diagnosis and grading of prostate cancer and also in the assessme nt of other prognostic factors. A possible benefit of the use of AI is a g reater degree of standardization of e.g. grading. AI may also help patholo gists by avoiding the accidental underdiagnosis of small lesions. However\ , it is important that pathologists are aware of the limitations and risks of these tools. AI for clinical use needs to be trained on large\, high-q uality datasets that have been assessed by experienced pathologists. The q uality of AI-generated reports will not be better than that of the trainin g datasets. A problem in prostate pathology is the plethora of benign mimi cs of prostate cancer and unusual morphological variants of cancer. It is difficult to find case collections that are large enough for the training of the most unusual morphologies. Another problem that has been underestim ated in the development of AI for histopathology is the interlaboratory va riability of cutting and staining of sections and the variation in data ou tput from different scanners used to produce digital slides. A commercial system developed in a specific setting may not be valid in another hospita l. There is a risk that clinicians will be impressed by the precision in A I-based reports of e.g. tumor extent and grade percentages\, which may exc eed the actual precision of the AI systems and also the clinical relevance of the generated information. We also need to be aware of the risk that u sers will rely too much on the output of a technical system and lose their confidence as diagnostic pathologists. It is ultimately the responsibilit y of the reporting pathologist to accept or reject the diagnosis proposed by AI.\n\nBio: Prof Lars Egevad\n• Consultant at Dept of Pathology at th e Karolinska University Hospital\, Stockholm since 1998.\n• Scientist/gr oup head IARC/WHO\, Lyon 2006-2008\n• Professor of Pathology\, the Karol inska Institute\, Stockholm since 2010\n• Secretary of the International Society of Urological Pathology (ISUP) 2005-2013\, President 2015-2017\n • Co-author of the 3rd\, 4th and 5th editions of the WHO Classification of Tumours of the Urinary System and Male Genital Organs\n• Member of th e organizing committee of 6 ISUP consensus meetings on urological cancer 2 005-2015 and 3 WHO consensus meetings 1999-2010\n• Invited presentations \, lectures and platform presentations in 47 countries\n• Organizer and/ or lecturer of more than 50 post-graduate courses in prostate pathology in Sweden\, Japan\, United Kingdom\, Singapore\, Germany and USA\n• Peer-r eviewed publications: 432 (Scopus 2025). Number of citations 39747\, H ind ex 92 (Google scholar)\n• Awarded The Koss medal 2008 and the Grawitz me dal 2022 (ISUP)\n• Honorary Fellow of the New Zealand Society of Patholo gy (HonFNZSP) 2016\n• Honorary Fellow of the Royal College of Australasi an Pathologists (HonFRCPA) 2022\n\n\nMicrosoft Teams\nJoin the meeting now \nMeeting ID: 428 790 497 847 18\nPasscode: XZ9YT7DU\n\nNote that if you a re coming from outside the Malaghan Institute\, please allow time to sign- in at reception for their start at 12pm. \n CATEGORIES:Online,Wellington LOCATION: Seminar Room\, Malaghan Institute\, VUW\, Central Services Build ing\, Victoria University\, Wellington\, New Zealand GEO:-41.2911028;174.76845720000006 X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=Central Services Building\ , Victoria University\, Wellington\, New Zealand;X-APPLE-RADIUS=100;X-TITL E=Seminar Room\, Malaghan Institute\, VUW:geo:-41.2911028,174.768457200000 06 END:VEVENT BEGIN:VTIMEZONE TZID:Pacific/Auckland X-LIC-LOCATION:Pacific/Auckland BEGIN:DAYLIGHT DTSTART:20250928T030000 TZOFFSETFROM:+1200 TZOFFSETTO:+1300 TZNAME:NZDT END:DAYLIGHT END:VTIMEZONE END:VCALENDAR