DeepHealth, tecnologie Ai per affrontare sfide in radiologia

DeepHealth, Ai technologies to address challenges in radiology The integrated portfolio of solutions at the Milan Congress (Milan). Interview with Niccolò Stefani, Giovanni Capobianco, Marco Guazzaroni (Riccardo Fani/alanews) --- Automatically generated transcript --- leveraging advanced algorithms artificial intelligence to improve operational efficiency clinical trust results for skin patients represents the first joint congress of the radiology area underway in Milan its portfolio Integra solutions to address the challenges of radiology up to the work process of interpretation by technicians we want to address the problems that concern the use of artificial intelligence in the clinical field So how can we support the clinic Diagnostics of the patient for example in the prostate lung and breast screens but we want to do a little more We want to ensure that artificial intelligence does not only help the clinical exam itself but how can we optimize the entire patient flow So from when the patients are contacted when the patient has to follow their follow-ups So our solution does not stop only in the clinical part but also in the operational part of the patient itself because statistics today every doctor spends 40 50% of his time in the administrative field therefore that is not spent on the patient therefore if we can help the administrative part become less we will have a greater dedication to the patient and this is our main goal at the ASL Roma 2 where there is a center for cognitive disorders and dementia for which they are responsible we have observed 226 patients with subjective memory disorder I have with me the cognitive impairment an initial condition of cognitive decline that you owe me the money initial or mild cognitive clinical the interesting element of this study was to bring to a common factor on the one hand the unavoidable clinical narrative these patients therefore the multidimensional geriatric evaluation On the other hand the second level neurological neuropsychological tests an obviously important element in these patients and finally the advanced technology of brain magnetic resonance supported by an artificial intelligence software that has allowed us to measure the volume of Some strategic regions in cognitive disorders The overbearing entry of technology and artificial intelligence into the medical field and seen in a sometimes polarized way some are very afraid of it taking refuge let's say in a purity of the acts of care others are I use this word a a little fanatics thinking that the technology All Curie I think that we need to maintain a balance Our experience has shown that artificial intelligence is useful and gives great advantages when it rests on the legs of man and people They use it Behind every biological data of artificial intelligence or let's say of the digital world there is always the strength and courage of medicine in the world in the radiological field artificial intelligence is entering significantly as we have the possibility with our technology to absolutely combine this type of technique which is a mathematical technique substantially to be able to represent mathematical models on which to then subsequently make a clinical evaluation and relate the morphological aspect with the mathematical evaluation and subsequently the clinical framework found that we are going to find Basically in our experimentation we have performed magnetic resonances in over 260 patients who presented initial states of cognitive decline And with this artificial intelligence system we have managed to evaluate the cerebral morphology we have managed to identify brain areas that presented initial phenomena of focal atrophy that are closely related to phenomena of decay cognitive also because brain atrophies are not all the same and each brain atrophy corresponds to a different cognitive decline. Therefore this quantitative evaluation that we obtain through mathematical algorithms allows us to crystallize the patient's pathology in that phase for possible evolution -