{"id":22624,"date":"2019-07-12T17:59:44","date_gmt":"2019-07-12T17:59:44","guid":{"rendered":"http:\/\/medgoo.com\/?p=22624"},"modified":"2019-07-12T17:59:49","modified_gmt":"2019-07-12T17:59:49","slug":"these-3-ai-tools-will-soon-disrupt-medicine","status":"publish","type":"post","link":"https:\/\/medgoo.com\/index.php\/2019\/07\/12\/these-3-ai-tools-will-soon-disrupt-medicine\/","title":{"rendered":"These 3 AI Tools Will Soon Disrupt Medicine"},"content":{"rendered":"\n

AI (Almost Impossible)<\/strong><\/p>\n\n\n\n

Tractica, a market intelligence firm focused on human interaction with technology, predicts that artificial intelligence (AI) software, hardware, and services specific to healthcare, will likely surpass $34 billion worldwide by 2025.(1)<\/sup><\/p>\n\n\n\n

Below are three AI tools predicted to soon disrupt the medical landscape:<\/p>\n\n\n\n

Facing Reality<\/strong><\/p>\n\n\n\n

It\u2019s a face-off between clinical geneticists and DeepGestalt, AI technology created by the Boston-based tech company FDNA. This facial analysis framework, still in the study phase, begins with a photograph of a person\u2019s face. The technology applies a deep learning algorithm to analyze finely defined facial characteristics and then deduces if this person has any facial characteristics proven to be associated with specific genetic disorders. For the record, DeepGestalt is programmed to diagnose more than 200 genetic disorders\u00a0linked to facial characteristics. (2)<\/sup> \u00a0<\/p>\n\n\n\n

Enter the physician, who takes a positive find and identifies genetic diseases triggered by the identified genetic abnormality. Because DeepGestalt technology uses a wide range of genotypic information associated with more than 10,000 diseases, this could mean earlier medical diagnoses and treatments.(2)<\/sup> <\/p>\n\n\n\n

This novel AI needs to be further studied and privacy issues loom large, with DeepGestalt critics saying the technology could lead to discrimination against those with pre-existing conditions. However, Dekel Gelbman, CEO of FDNA, feels that facial analysis technology will play a key role in the future of precision medicine.<\/p>\n\n\n\n

\u201cFor years, we\u2019ve relied solely on the ability of medical professionals to identify genetically linked disease,\u201d Gelbman says. \u201cWe\u2019ve finally reached a reality where this work can be augmented by AI, and we\u2019re on track to continue developing leading AI frameworks using clinical notes, medical images, and video and voice recordings to further enhance phenotyping in the years to come.\u201d<\/p>\n\n\n\n

The three-year DeepGestalt study was recently published in the journal Nature Medicine<\/em>, January 07, 2019. (2)<\/sup> Spoiler Alert<\/strong>: The article reports that DeepGestalt correctly identified a person\u2019s unique genetic disorder 91 percent of the time. <\/p>\n\n\n\n

Hold the Phone!<\/strong><\/p>\n\n\n\n

Did you see the latest meme that pokes fun at virtual assistants? <\/p>\n\n\n\n

\"Image<\/figure>\n\n\n\n

LOLs aside, there is one artificially\nintelligent assistant, currently being tested in Copenhagen, that everyone would welcome as an\nappreciated \u201ceavesdropper\u201d if calling 911 about possible cardiac arrest. To be more specific, the assistant goes\nby Corti AI, a real-time,\nAI-powered decision support system that relies on sound-recognition software to\nhelp emergency dispatchers identify patterns of anomalies or conditions of\ninterest in a conversation with a caller. Sounds being analyzed include words\nas well as background noises \u2013 like a victim\u2019s unusual breathing, even\nif that person is not the caller. Corti AI alerts the emergency dispatcher if it identifies\npatterns that indicate cardiac arrest in progress.<\/p>\n\n\n\n

According to studies conducted by Corti AI\u2019s creator, a Denmark-based startup also named Corti, the tool has bragging rights to some life-saving stats:(3)<\/sup><\/p>\n\n\n\n