AI in healthcare: New tech in diagnosis and patient care
Artificial intelligence (AI) is no longer a concept confined to science fiction; instead, it has become a part of our everyday lives, driving advancements in various sectors, from finance to transportation. However, one of the most profound impacts of AI is being felt in the healthcare industry.
AI’s ability to learn from vast amounts of data and make predictions is changing healthcare by enhancing patient care and medical research. From diagnosing diseases with remarkable accuracy to managing patient care and pioneering personalized medicine, AI is not just an auxiliary tool for medical professionals but a game-changer in the healthcare landscape.
Moreover, the ongoing integration of AI in healthcare is not merely a trend but a significant shift toward more efficient, patient-centric care. It is transforming how we understand diseases, develop treatments and deliver care, thus reshaping the future of healthcare.
AI has shown immense potential in disease diagnosis, particularly in radiology. Studies have demonstrated that AI systems can now match or even outperform radiologists in diagnosing certain conditions using chest X-rays.
Once trained using a large data set of X-rays, AI models can identify a range of diseases — including lung cancer and tuberculosis — with a high degree of accuracy. Speaking on the subject of AI-based disease detection, Dimitry Mihaylov, co-founder and chief science officer for AI-based medical diagnosis platform Acoustery, said:
Moreover, AI has been instrumental in the ongoing fight against COVID-19. AI algorithms formulated after 2020 have been deployed to predict the likelihood of a patient developing severe symptoms, helping doctors prioritize care for those most at risk. AI models have also
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