AI in medicine: hospitals optimization, disease diagnostics, and drug development

AI in medicine: hospitals optimization, disease diagnostics, and drug development

As anticipated by Frost & Sullivan, 90% of American clinics and 60% of the world’s largest hospitals would use AI products and solutions by 2025. According to the experts, almost 70% of the global population would be applying intelligent medical systems.

In 2019, artificial intelligence technologies diagnose diseases, prescribe treatment, and even develop new drugs. Read on to find out more about the AI-fueled systems use in medicine and their benefits.

AI possibilities in medicine

AI possibilities in medicine

Hundreds of companies, including heavyweights IBM, Google, Apple, and Microsoft, currently develop AI-powered services and smart devices in the field of medicine. As estimated by Frost & Sullivan, revenues of AI-focused corporations would reach $6.1 bn in 2021 with an IBM’s share of 45%.

AI products help solve the following tasks:

  • diagnose diseases;

  • prescribe treatment;

  • structure and analyze medical records’ data;

  • detect patients in need of first aid;

  • monitor doctors’ and patients’ location in medical institutions;

  • plan clinics’ work;

  • visualize ultrasonography images, CT scans, MRI;

  • develop drugs.

Due to AI introduction into medicine, the service quality at hospitals rises and medical aid becomes more customized.

Disease diagnostics and therapy assignment

Disease diagnostics and therapy assignment

To make a diagnosis, a doctor has to scan tests, images, examinations’ results, and medical history. At best, it’s a large collection of unstructured information. However, it frequently lacks some data. That is the reason why doctors cannot see the big picture of a disease and make the right diagnosis. Artificial intelligence solves this problem.

AI-embedded systems are currently capable of analyzing medical data taking into account all the records. Being trained on millions of medical histories and scientific literature, artificial intelligence diagnoses various diseases: multiple kinds of cancer, heart diseases, vision impairments, and tuberculosis. Besides, AI may give treatment recommendations basing on a diagnosis.

Examples

DeepMind Health from Google scrutinizes patients’ symptoms and comes up with therapy recommendations. A supervising doctor may use this information to prescribe treatment.

IBM has developed Watson Health. Due to the access to millions of scientific articles, encyclopedias, and anonymous medical histories, it diagnoses a heart attack, cancer, and venous thrombosis.

AI solution MedyMatch from the eponymous Israeli startup helps detect a heart attack. The algorithms compare a patient’s brain image with hundreds of other images. AI recognizes the slightest irregularities overlooked by a doctor.

mHealth products for patients

mHealth products for patients

AI systems not only ease the burden on doctors but also help us monitor health. Various companies create mobile apps allowing to process and correctly interpret medical data. Besides, users may get advice from chatbots.

Examples

AliveCor has developed smart device AliveCor Mobile ECG and a special related app. The program processes data collected by the gadget that performs electrocardiography imaging. Artificial intelligence decrypts this information and consults on cardiac problems. If a system detects a heart attack risk, it advises to see a doctor.

Sense.ly offers a dialog with a virtual medical assistant who asks about a health state and any related complaints. If needed, the chatbot may clarify these or those symptoms. Besides, the program acts as a medication reminder and can organize a video conference with a doctor.

Chatbot ADA analyzes user information: asks to detail pain and offers several possible diagnoses.

Intelligent system Your.MD works on a base of messengers and processes the information about symptoms. It classifies a disease and provides a user with several treatment variants. In the event of emergencies, Your.MD recommends seeing a doctor.

AI in the work of medical establishments

AI in the work of medical establishments

Artificial intelligence technologies also optimize the work of clinics. They help lower waiting times, monitor patients at hospitals as well as identify those in need of first aid.

Examples

University College London Hospital (UCLH) will use an AI program to assess the most urgent patients’ cases. It analyzes the symptoms and tests of a patient. Based on this data, the system identifies the level of danger. This information helps a clinic organize a queue.

What is more, artificial intelligence will monitor doctors’ and patients’ location in this medical institution thus preventing mounting waiting times and lack of equipment.

A lot of American hospitals use AI product Qventus that monitors patients at hospital. It foresees a bad health state, which makes medical aid timely.

New drugs development

New drugs development

Pharmaceutical companies spend lots of time on drugs development and their clinical trials. However, the majority of tests does not guarantee a positive effect.

Artificial intelligence systems can predict which molecules of a substance will have a positive effect thus granting safety and simplifying the appearance of new drugs on the market.

Examples

BenevolentBio utilizes software based on deep learning algorithms. Artificial intelligence processes and analyzes various patents, genome data, and scientific articles. Due to AI-enabled technologies, specialists develop molecules of drugs that may combat certain diseases.

Conclusions

Artificial intelligence is one of the most prospective spheres in medicine. AI implementation into healthcare benefits patients, doctors, and medical establishments. Smart developments save doctors’ time, help them make the right diagnosis, and assign a timely therapy. Due to AI-powered programs, patients get more effective medical services.

( 90 votes, average: 3.78 out of 5. )
Subscribe to get breaking news