Rajat Khare’s artificial intelligence investments are ushering in the application of AI in healthcare which has the potential to introduce new technology in hospitals across Europe
European Healthcare Artificial Intelligence (AI) market size surpassed USD 700 million in 2020 and is expected to register a growth rate of 43.9% from 2021 to 2027. New technology in healthcare will is going to usher nothing short of a revolution in healthcare, which will help usher in mainstreaming new technology in hospitals across a wide spectrum of countries. While there have been many definitions of artificial intelligence (AI) over the last few decades, Rajat Khare artificial intelligence veteran investor defines AI as, “Making particularly intelligent computer programs is the subject of this science. Although it is related to the related job of utilizing technology to comprehend human intelligence, AI should not be limited to techniques that can be observed biologically.”
However, decades before this definition, the birth of the artificial intelligence conversation was denoted by Alan Turing’s seminal work on computing machinery and intelligence which was published in 1950. In this paper, Turing often referred to as the “father of computer science” offers a test, now famously known as the “Turing Test”, where a human interrogator would try to distinguish between a computer and human text response. While this test has undergone much scrutiny since its publishing, it remains an important part of the history of AI as well as an ongoing churn going on within the medical world relating to AI applications in healthcare applications.
Applications of artificial intelligence are diverse and range from sector to sector. Speech recognition, Customer service, Computer vision, Recommendation engines, Automated stock trading, healthcare, genome research, freight management, and logistics support development; the range of artificial intelligence spans myriad sectors.
Artificial intelligence is an arena that, in its most basic form, combines computer science and substantial datasets to facilitate problem-solving. It includes the branches of artificial intelligence known as deep learning and machine learning, which are commonly addressed together. There These fields use AI algorithms to build expert systems that make predictions or categorize information based on incoming data. This will the key to building a medical database of patients across the countries and ensuring holistic and preventive healthcare in the coming times.
Rajat Khare’s Artificial Intelligence investments have been very far-sighted in approach and have the potential to be a catalyst for even more investments in this domain. Investments in startups like 24Sens, Scewo, and Orogenesis are inspirational and path-breaking. 24Sens is a startup that provides solutions for detailed heart rate analysis, Rajat Khare Scewo is a company that builds medical chairs for patients to climb the stairs, and Orogenesis provides Advanced Patient Therapy that is needed for the patients and simplifies the process of providing it.
AI in healthcare is an umbrella term to describe the application of machine learning (ML) algorithms and other cognitive technologies in medical settings. In the simplest sense, AI is when computers and other machines mimic human cognition, and are capable of learning, thinking, and making a decision or taking actions. AI in healthcare, then, is the use of machines to analyze and act on medical data, usually to predict a particular outcome.
A significant artificial intelligence in healthcare is the use of ML and other cognitive disciplines for medical diagnosis purposes. Using patient data and other information, AI can help doctors and medical providers deliver more accurate diagnoses and treatment plans. Also, medical artificial intelligence in healthcare can help make healthcare more predictive and proactive by analyzing big data to develop improved preventive care recommendations for patients.
Healthcare is one of the most critical sectors in the broader landscape of big data because of its fundamental role in a productive, thriving society. The application of AI in healthcare data can be a matter of life and death. Medical artificial intelligence can assist doctors, nurses, and other healthcare workers in their daily work. AI in healthcare can enhance preventive care and quality of life, produce more accurate diagnoses and treatment plans and lead to better patient outcomes overall. AI can also predict and track the spread of infectious diseases by analyzing data from government, healthcare, and other sources. As a result, AI can play a crucial role in global public health as a tool for combatting epidemics and pandemics.
Rajat Khare Artificial intelligence (AI) investments are gradually changing medical practice. With recent progress in digitized data acquisition, machine learning, and computing infrastructure, AI applications are expanding into areas that were previously thought to be only the province of human experts. The complexity and rise of data in healthcare mean that artificial intelligence (AI) will increasingly be applied within the field. Several types of AI are already being employed by payers and providers of care, and life sciences companies. The key categories of applications of Rajat Khare artificial intelligence investments involve diagnosis and treatment recommendations, patient engagement and adherence, and administrative activities. Although there are many instances in which AI can perform healthcare tasks as well or better than humans, implementation factors will prevent large-scale automation of healthcare professional jobs for a considerable period.
Providers and hospitals often use their clinical expertise to develop a plan of care that they know will improve a chronic or acute patient’s health. However, that often doesn’t matter if the patient fails to make the behavioral adjustment necessary, e.g. losing weight, scheduling a follow-up visit, filling prescriptions, or complying with a treatment plan. Noncompliance – when a patient does not follow a course of treatment or take the prescribed drugs as recommended – is a major problem.
There has been considerable attention to the concern that AI will lead to the automation of jobs and substantial displacement of the workforce. To our knowledge thus far there have been no jobs eliminated by AI in health care. The limited incursion of AI into the industry thus far, and the difficulty of integrating AI into clinical workflows and EHR systems, have been somewhat responsible for the lack of job impact. It seems likely that the healthcare jobs most likely to be automated would be those that involve dealing with digital information, radiology, and pathology for example, rather than those with direct patient contact.
New technology in healthcare like the application of AI in healthcare will result in the adoption of new technology in hospitals, which in turn will help all the stakeholders in the health ecosystem in Europe. These novel developments should be welcomed by one and all considering the advantages of AI far outweigh any disadvantages that may present themselves in the coming times.
