BEGIN:VCALENDAR VERSION:2.0 PRODID:IEEE vTools.Events//EN CALSCALE:GREGORIAN BEGIN:VTIMEZONE TZID:Europe/Madrid BEGIN:DAYLIGHT DTSTART:20250330T030000 TZOFFSETFROM:+0100 TZOFFSETTO:+0200 RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=3 TZNAME:CEST END:DAYLIGHT BEGIN:STANDARD DTSTART:20241027T020000 TZOFFSETFROM:+0200 TZOFFSETTO:+0100 RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=10 TZNAME:CET END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTAMP:20250119T091507Z UID:69D1C35E-849E-46DC-9B14-EF6A6EDE0EE0 DTSTART;TZID=Europe/Madrid:20250115T121500 DTEND;TZID=Europe/Madrid:20250115T133000 DESCRIPTION:I&M Society Distinguished Lecturer Program\n\nMedicine today ha s the availability of advanced technologies and new devices for diagnosis. Telemedicine gives a new scenario that allows remote diagnosis\, control and treatment of patients at home without physical contact with the doctor . Routine checkups can be outsourced to small care facilities or even to t he patient's own home. In Europe the elderly are more than the young but t he funds for the health system are decreasing. The medicine paradigm must be rethought. E-Health can be the solution to support for the delocalizati on of some medical services: new micro and nano electronic circuits\, IOT for pervasive and efficient communication\, Artificial Intelligence to sol ve problems where models are not easy to apply but a lot of data is availa ble. The ability to combine the power of AI algorithms and data from diffe rent sensors and databases can greatly increase the reliability of the fin al choice of the right therapy. This is the new Medicine 4.0. The digitali zation of the processes and the improvement of technology allow interfacin g the human body with computers and Artificial Intelligence allows you to work with a large amount of data (big data) and identify unknown correlati ons between the parameters to allow a new diagnosis.\n\nCo-sponsored by: E UGLOG University of Alcala\n\nSpeaker(s): Eros Pasero\n\nRoom: Sala de Gra dos (zona Este\, primera planta)\, Bldg: Edificio Politécnico\, Campus Un iversitario S/N.\, Politechnical School. University of Alcalá\, Alcala de Henares\, Madrid\, Spain\, 28805\, Virtual: https://events.vtools.ieee.or g/m/459940 LOCATION:Room: Sala de Grados (zona Este\, primera planta)\, Bldg: Edificio Politécnico\, Campus Universitario S/N.\, Politechnical School. Universi ty of Alcalá\, Alcala de Henares\, Madrid\, Spain\, 28805\, Virtual: http s://events.vtools.ieee.org/m/459940 ORGANIZER:jesus.urena@uah.es SEQUENCE:35 SUMMARY:Intelligent Healthcare: Prospects and Limits of Generative Artifici al Intelligence for Medical Systems URL;VALUE=URI:https://events.vtools.ieee.org/m/459940 X-ALT-DESC:Description: <br /><p>I&amp\;M Society Distinguished Lecturer Pr ogram</p>\n<p>Medicine today has the availability of advanced technologies and new devices for diagnosis. Telemedicine gives a new scenario that all ows remote diagnosis\, control and treatment of patients at home without p hysical contact with the doctor. Routine checkups can be outsourced to sma ll care facilities or even to the patient's own home. In Europe the elderl y are more than the young but the funds for the health system are decreasi ng. The medicine paradigm must be rethought. E-Health can be the solution to support for the delocalization of some medical services: new micro and nano electronic circuits\, IOT for pervasive and efficient communication\, Artificial Intelligence to solve problems where models are not easy to ap ply but a lot of data is available. The ability to combine the power of AI algorithms and data from different sensors and databases can greatly incr ease the reliability of the final choice of the right therapy. This is the new Medicine 4.0. The digitalization of the processes and the improvement of technology allow interfacing the human body with computers and Artific ial Intelligence allows you to work with a large amount of data (big data) and identify unknown correlations between the parameters to allow a new d iagnosis.&nbsp\;</p> END:VEVENT END:VCALENDAR