Artificial Intelligence, apart from breaking the internet by replacing a million different jobs through its effective data processing and remarkable benefits is now all set to serve humanity. This time the google health care company has launched AI in fields of health care services which has really turned out to be worth the effort that clinicians and AI technicians did over the past years to make it possible.
The Google team has decided to open AI centers across the world. Health care will be one of the most important fields AI will transform.
Let us have a look at the two most progressed areas in this field.
1. Ophthalmology (Diagnosis and treatment of eye-related disorders)
In the field of Ophthalmology, AI is all set to do computer-aided diagnosis of the eye disease called diabetic retinopathy. This disease is caused due to diabetes and it is characterized by loss of eyesight in patients that have had diabetes for 20 years or more. It is important to note that this disease, if left untreated can lead to permanent blindness.
AI has turned out to be a cure to this. The google AI technicians collaborated with U.S board certified ophthalmologists and developed algorithms to diagnose the images of the retina of the eye, successfully. This technology is brought to areas where trained doctors are scarce. Astonishing is the fact that when the same retinal scans were done using AI, there were things those humans were not aware to look for. This retinal eye scan detects whether the patient with diabetes is suffering from diabetic retinopathy or not. Alongside this, the retinal scan helps detect the risk of cardiovascular event (heart attack or strokes) in humans that may come in their lives in near future. More than what the doctors could learn the eye scan; machine learning gave newer insights in this.
2. Digital Pathology
The other astounding work the google AI did is in digital pathology. AI workers and teams have created algorithms that may help the pathologists of the era to detect one of the most alarming diseases; breast cancer in lymph node biopsies.
Inspecting pathology slides is a perplexing errand that requires long periods of preparing, aptitude, and experience. Indeed, even with this broad preparing, there can be generous changeability in the findings given by various pathologists for a similar patient. This is not surprising, given the gigantic measure of data that pathologists must audit to make an exact analysis.
In order to improve the above-mentioned issues, the google AI team has developed a robotized identification calculation that can normally supplement pathologists' work process. The detailing of the algorithms is done with close analysis to make it simpler for pathologists to discover even little occasions of bosom malignant growth metastasis in lymph hub biopsies.
Computer based intelligence helped specialists anticipate therapeutic occasions. Doctors can be notified ahead of time say 24 to 48 hours before a patient is probably going to become extremely ill. This data has a colossal contrast in their result, so google has given AI frameworks something to do utilizing de-distinguished therapeutic records, and things being what they are, it examinations more than hundred beyond what any single specialist could break down. This can very anticipate the opportunity of re confirmation 24 to 48 hours prior or sooner than customary strategies. Thus, giving specialists more opportunity to act.
The google health care strategy will undoubtedly turn out to be a treat to the humanity. According to the google team, it is only the beginning of this effort. In near future, there will be fair opportunities to make further improvements and beneficial criticalities in this context as the results of the Google team efforts have been satisfactory.
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