Sanità, Sabatini (Philips): “Futuro dell'healthcare legato al ruolo dell’AI”
(Adnkronos) - “Grazie al nostro software tempi per risonanza magnetica e per diagnosi più veloci. L’intelligenza artificiale nel mondo dell'healthcare ha una validità particolarmente importante per il fatto che permette di velocizzare, di fare meglio l'integrazione di una grande massa di dati che possono arrivare da tante fonti diverse, che siano le fonti della diagnostica, dello stile di vita piuttosto che della storia clinica. Di conseguenza il futuro dell'healthcare deve sicuramente partire dalla cognizione che l'intelligenza artificiale possa giocare un ruolo estremamente importante soprattutto per quel che riguarda il supporto alla decisione clinica e per quel che riguarda l'ottimizzazione dei flussi di lavoro''. Così Giovanni Sabatini, Solution Leader Philips Italia, Israele e Grecia, in occasione dell'evento 'Intelligenza Artificiale, rischi e opportunità', organizzato oggi da Adnkronos a Palazzo dell'Informazione.
Category
🗞
NewsTranscript
00:00 [no audio]
00:07 [speaking in Italian]
00:10 [speaking in Italian]
00:13 [speaking in Italian]
00:16 [speaking in Italian]
00:19 [speaking in Italian]
00:22 [speaking in Italian]
00:25 the sources of lifestyle, that are the sources of clinical history.
00:29 Consequently, the future of healthcare must certainly start with the recognition that
00:34 Artificial Intelligence must play an extremely important role, especially with regard to
00:40 clinical decision-making support and data integration, coming from many different sources.
00:47 The potentials of Artificial Intelligence in healthcare development are enormous, they are multiple.
00:54 Starting from what is already happening today, in the ability to integrate different information,
00:59 especially in the diagnostic phase, in the prevention phase, information that helps the clinic,
01:07 which obviously must always have the last word in the decision of what the therapeutic process can be,
01:13 but it certainly helps the clinic to identify more quickly diagnostic-character information,
01:21 to integrate information that can allow to obtain from the patient's clinical history
01:27 a trend, patterns that can also help prevention and can go in the direction of
01:34 a preventive medicine and a real population healthcare management,
01:41 but above all the fact that with Artificial Intelligence it will be possible to support the patient
01:46 from the moment he has to approach a health care system to the moment he returns home
01:51 and will have a structure, mechanisms that will help him to have a greater therapeutic adherence
01:58 to what is prescribed by the doctor.
02:00 The decisions of the clinic are always supported by a large mass of information.
02:06 The ability to integrate information derived above all from an increasingly evolved diagnostic process
02:13 in a quick and quality way is certainly an area in which Artificial Intelligence
02:19 is already bringing great advantages.
02:22 For example, in Philips a software has been recently developed that allows to speed up,
02:29 for example, the magnetic resonance tests, by integrating information that the machine,
02:35 through a machine learning process, has been able to acquire to go and do faster diagnoses
02:43 helping the patient to stay less time inside the machine and therefore prevent movements
02:49 that can create artifacts, but above all supporting the clinic to go and identify
02:55 more quickly the anatomical areas that require its attention.