Keywords: Artificial intelligence
Background:
The last few years have seen a key change in healthcare. A new evolving concept is emerging that seeks to go beyond the norm of the average patient. The central idea, concerns the possibility of characterizing the disease phenotype, proposing a personalized treatment through the automatic analysis of polymorphic data with the support of artificial intelligence (A.I.).
Research question(s):
What will be the effects of using A.I. in general family medicine?
Methods:
This is an ongoing study as the research on A.I. is still evolving and new data are constantly arising. The project focused on the ways in which A.I. can improve health services. Innovative techniques include the use of medical equipment supported by artificial intelligence, remote patient monitoring through the use of technological tools that adapt to a continuous stream of data outside the doctor's office, and collaboration between doctors of different specialties through the sharing of tests and information relating to the patient.
Results:
Data were explored on the use of A.I. so far. It supports clinical decisions on personalized treatment protocols, prevention of prescription errors based on medical history, remote patient monitoring and care, quick access to patient information, timely diagnoses, while delivering healthcare in a cost-effective way.
Conclusion(s):
A.I. in medicine is a field of research that is constantly progressing, but to evolve, more general practitioners need to be trained in these new algorithmic models. Properly integrated, A.I. will dramatically improve both patient and physician needs and healthcare efficiency.
Points for discussion:
#96
