Sage Clinical Medicine & Research
Jul 15, 2026 · 11 min · 8 segments
Read the issue here: https://journals.sagepub.com/toc/hvsa/3/2
Indeed, we are living in an era of AI and computational modeling, simulation, And the role and contribution of these tools will rapidly expand in the near future and will have major implications in research and in the clinical management of patients with valvular heart disease.
So we previously published in the journal several articles dealing with these topics of AI, computational modeling, etc.
But today, we present a full issue that is dedicated in large part to the role of AI and computational modeling in the context of valve intervention.
I do not think that AI will replace the clinicians or the scientists in this field, but it will certainly enhance and complement them.
And Ginni Rometty, who was actually the former chief executive officer at IBM, stated, Some people call this artificial intelligence, but the reality is this technology will enhance us.
So instead of artificial intelligence, I think, well, Ginni Rometty think, will augment our intelligence.
So I think this is very well said and reflect, I think, what AI should be and what role it should fulfill for us.
So AI and mathematical modeling will, I think, simplify, accelerate, and enhance the determination of the severity of valvular heart disease, the risk stratification, and will help to individualize and optimize the timing of a type of intervention.
Also, importantly, AI will help to reduce disparity and inequity in access to care for patients with valvular heart disease.
And this has been already demonstrated in the context of several randomized trials, including the DETECT-AS.
So the articles published in this issue of the Journal of Advanced Society provides a compelling overview of the great potential of AI in the context of VAVA intervention.
Indeed, we are living in an era of AI and computational modeling, simulation, And the role and contribution of these tools will rapidly expand in the near future and will have major implications in research and in the clinical management of patients with valvular heart disease.
So we previously published in the journal several articles dealing with these topics of AI, computational modeling, etc.
But today, we present a full issue that is dedicated in large part to the role of AI and computational modeling in the context of valve intervention.
I do not think that AI will replace the clinicians or the scientists in this field, but it will certainly enhance and complement them.
And Ginni Rometty, who was actually the former chief executive officer at IBM, stated, Some people call this artificial intelligence, but the reality is this technology will enhance us.
So instead of artificial intelligence, I think, well, Ginni Rometty think, will augment our intelligence.
So I think this is very well said and reflect, I think, what AI should be and what role it should fulfill for us.
So AI and mathematical modeling will, I think, simplify, accelerate, and enhance the determination of the severity of valvular heart disease, the risk stratification, and will help to individualize and optimize the timing of a type of intervention.
Also, importantly, AI will help to reduce disparity and inequity in access to care for patients with valvular heart disease.
And this has been already demonstrated in the context of several randomized trials, including the DETECT-AS.
So the articles published in this issue of the Journal of Advanced Society provides a compelling overview of the great potential of AI in the context of VAVA intervention.
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