Here are some of the key applications of AI in healthcare and some recent breakthroughs:
They have shown significant success in detecting abnormalities and specific conditions like cancer, strokes, and other neurological disorders.
AI algorithms can predict how different molecules interact with targets, speeding up the identification of potential treatments for various diseases.
The drug, developed by Sumitomo Dainippon Pharma in collaboration with Exscientia, is intended for the treatment of obsessive-compulsive disorder (OCD).
By analyzing patient data, AI can predict the most effective treatment and potential side effects, leading to better outcomes and reduced adverse reactions.
AI, to assist pathologists in diagnosing breast cancer more accurately.
This proactive approach allows healthcare providers to intervene early and provide targeted interventions.
This helps in managing chronic conditions, improving patient engagement, and reducing hospital visits.
Nevertheless, the integration of AI in healthcare holds great promise for improving patient outcomes, reducing costs, and advancing medical research.