2024-10-13 23:00:00
THE artificial intelligence (AI) is transforming the present of medical diagnoses through innovative applications that promise a future in which the healthcare sector will be more efficient, precise and accessible to the entire population. But what does the future look like for 2025?
The incorporation of this technology has caused the estimated value of AI in the healthcare market to reach $164 million by 2029, with an average annual growth rate of 42.4%, according to the report by Business of luck.
“The growth of artificial intelligence in medicine depends on multiple factors, one of the most relevant is the adoption of technology accompanied by training in digital skills for healthcare workers. Without a doubt, retraining is essential to manage automation and ensure that doctors remain responsible for key decisions,” said Pedro López Chaltelt, Director of Metaworld Congress LATAM.
Artificial intelligence applied to the development of medical treatments and diagnoses
In this context, training in artificial intelligence becomes a priority for healthcare professionals. The rapid evolution of artificial intelligence is revolutionizing the methods of diagnosis, treatment and management of clinical data.
To ensure that AI is used optimally and ethically, it is essential that doctors, nurses and specialists acquire new technological skills that allow them to effectively integrate these tools into their daily practices. This will not only improve clinical outcomes but also strengthen informed decision making for the benefit of the patient.
How is artificial intelligence transforming medical diagnoses?
According to the expert, by overcoming the challenges posed by the integration of this technology, there is a high potential that will undoubtedly continue to revolutionize the healthcare sector. Some of these applications are:
- Drug development: Artificial intelligence is significantly accelerating the development of new drugs. According to the Mexican Association of Pharmaceutical Research Industries (AMIIF), this technology has reduced drug development times from decades to just 1 or 2 years, optimizing costs and improving access to innovative treatments.
- Faster diagnoses and personalized treatments: One of the great advantages of Artificial Intelligence is the ability to analyze large amounts of clinical data, medical records and genomic data quickly and accurately, surpassing human capabilities. One example is its use to detect cancer in early stages by analyzing radiological images, allowing doctors to offer more personalized treatments.
- Chatbots and medical robots: Currently, “AI Health Coaching” intelligences have already been developed that promote healthy habits and help prevent diseases. While not intended to offer diagnoses, this system will improve the accessibility and management of medical visits, optimizing patient care.
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