Our fathers, forefathers always wanted us to become weather a doctor or an engineer or a scientist or professors. But how can we children of today's generation live within this boundary??? Obviously we want more than this isn’t it? How can we just get satisfied being a scientist or a doctor being precised only in a particular field, rather we want innovate more for today's world. For that huge innovations wont the idea of collaboration be the best? Yes, collaboration has been a sensational example for today's world. In this blog I am going to share one of the tremendous collaboration example.
AIM(Artificial Intelligence
in Medicine) is an example of such collaboration between computer
scientist and health care professionals. Medical Artificial
Intelligence is primarily concerned with the construction of AI
programs that perform diagnosis and make therapy recommendations.
From the very earliest moment in modern history scientist and
doctors alike were captivated by the potential of such a technology
might have in medicine. With intelligent computers able to store and
process vast stores of knowledge, the hope was that they would become
perfect “doctor in box”, assisting or surpassing clinicians with
various challenges in medical science.
AIM system is expected to
occupy as many branch as it can in medical treatment. Starting with
generating alerts and reminders i.e. an expert system attached to a
monitor that can warn of changes in patients condition in less acute
circumstances it might scan laboratory test results or drug orders
and send reminders or warnings through an e-mail system.
Diagnostic assistance is the
next and most important expectation from AIM. When a patient case is
complex, rare or the person making the diagnosis is simply
inexperienced an expert system i.e AI can help come up with likely
diagnosis based on patient data. In the first decade of AIM most
research systems are developed to assist clinicians in the process of
diagnosis, typically with the intention that it would be used during
a clinical encounter with a patient. But it is clear that some of the
psychological basis for developing this type of support is now
considered to be less compelling given that situation assessment
seems to be a bigger issue than diagnostic formulation.
Dxplain is one of the
example of one of these clinical decision support system, developed
at the Massachusetts General Hospital. It is used to assist in the
process of diagnosis, taking set of clinical findings including
signs, symptoms, laboratory data and then produces a ranked list of
diagnosis. It provides justification for each differential diagnosis
and suggests further investigation. This system contain a data base
of crude probabilities for over 4500 clinical manifestations that are
associated with over 2000 different diseases.
Artificial Intelligence in
Medicine (AIM) is enhancing in which interactions with the outside
world are not only natural but mandatory. Although the basic research
topics in AIM maybe those of artificial intelligence the applied
issue touch more more generally on the board field of medical
informatics.
Source: Openclinical.org
Hello, my name is Jack Sparrow. I'm a 50 year old self-employed Pirate from the Caribbean.