The use of Artificial Intelligence (AI) in Medical Diagnosis is heading towards replacing real-medicine workers and transform medicine. The appearance of novel and more advanced solutions is now observed every year. This undoubtedly provides an entire slew of advantages such as reduced time in reaching a diagnosis, which helps medical workers in prioritizing cases of the patient.
At present, there is already an adequate number of successful developments. Deep learning and AI can analyze a lot more cases and elements as compared to the live-health workers. Precisely, we are now able to use AI for medical imaging, drug development, and genome research. A large number of information can be analyzed by the AI-based devices as they are faster than humans to learn and make decisions accordingly.
Let’s find out what does it mean by reviewing and looking at some of the startups and recent developments.
Deep Learning & AI: Current Status and Perceptions in Medicine
The Medical intuition is one of the most important things in medical practice. Whenever a patient makes a doctor visit, the doctor just by looking and asking few questions understands the patient’s problem and diagnose the disease.
Medical intuition is when a doctor uses his in-built neural network. A doctor has an experience in analyzing an adequate number of cases, which makes him capable in identifying a few additional factors. This helps the doctor in narrowing down the right solution space. Lastly, the doctor comes to suppositions, which is considered as a possible diagnosis.
Is Medical Intuition Inferior than AI?
Medical intuition is an automatic thing that can be achieved better by an automated machine. There is no doubt that machines can better formulate some diagnoses. Let’s take a look at the most pre-eminent cases by using top recent medical field startups as a model.
This service allows to give recommendations and directly communicate with a person. It is a medical application that communicates with the patient, and asks them about their complaints and symptoms. The application responds by giving recommendations such as suggesting best doctor, and also offers remote consultation.
Nearly 20% of breast and lung cancer goes overlooked in the diagnosis. A South Korean-based startup, Lunit is developing 3D visualization and deep learning software to aid in detecting diseases such as airway cancer, which is difficult-to-diagnose. The probability increases to 84% by using this software for detecting cancer. The technology will advance over time and the accuracy will improve.
In modern medicine, creation of new drugs is considered as one of the most significant tasks. In a research laboratory, the development of a single drug costs $ 2.6 billion. In total, nearly $ 150 billion is spent on the process of developing medicine. This was the major reason why in 2014, only 46 novel drugs were introduced. This startup creates AI, which aids in the creation of novel drugs, and helps in studying the mechanisms of aging.
This San Diego-based startup helps visually impaired and blind people “see” the world. The company does this by combining the capabilities of AI and the human body in smart glasses or an application. The AI development of the company named Chloe is still in its initial phase of capabilities. Simple tasks such as reading instructions from the drug package can be performed easily by Chloe.
This program helps in monitoring the patient’s condition who have formerly undertaken treatment for chronic diseases. This San Francisco based startup raised venture capital investment of 8 million in their initial stage. This application structures the data on the person’s state and recommends by sending the data to a specialist. The system also assists in reminding the dosages and notifies when to visit a doctor.
It can be said that Artificial intelligence is transforming the healthcare sector for better medical diagnosis. Moreover, there are several applications in AI for medical care. This means that we have great potential for further development in the healthcare sector.