# Applications of Artificial Intelligence in Medicine

Applications of Artificial Intelligence in Medicine

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In this field of artificial intelligence technology, the ability to collect, analyze information, and draw logical conclusions is particularly relevant. AI can be used to make diagnoses, record data, and act as a physician's assistant. Additionally, AI can be tasked with determining a patient's predisposition to specific pathologies, predicting the course of chronic diseases, and detecting diseases early.

IBM's Watson supercomputer, Google's DeepMind Healthot, and the Face2Gene application from FDNA (which identifies genetically transmitted diseases from photographs) have already launched such programs. The RF is also working on an AI-enabled decision support system called Third Opinion, while cancer centers are using Botkin.Al. Some systems have a voice communication function that allows patients to be questioned about their symptoms and receive a recommendation for treatment or a referral to see a specialist. Mobile versions of Ada and Your.MD can be downloaded from the internet.

AI also plays a special role in the creation of new drugs. According to Judy Suards, a top manager at Pfizer, it takes about twelve years to develop and launch a modern drug. Thanks to AI, the time it takes to build the molecular structure and simulate the drug is greatly reduced while improving quality. Atomwise and Berg Health are among the first supercomputers capable of solving this problem and creating specialists.
