Future of Artificial Intelligence - Smashers Hub

Artificial intelligence (AI) has been a hot matter in the medical field over the past few years, with many expecting it to become the norm in healthcare by 2025. It’s easy to see why; AI has already made its mark in numerous other sectors – from customer service to self-driving cars – and could be truly revolutionary when applied to healthcare.

By automating tasks, providing more accurate diagnoses, and making data analysis easier, AI could speed up decision-making and benefit doctors and patients alike. 

But how exactly will it change the medical field? And what are some of the biggest barriers to incorporating AI into healthcare?

What is Forthcoming artificial intelligence (AI)?

The future for AI is difficult to predict and very controversial as well. On the one hand, some say that by 2040 we will have more synthetic intelligence than human intelligence, which will be followed by a large decrease in employment due to machines taking our jobs. 

While on the other hand, some believe AI will help humans work smarter and faster; with better judgment, because it’s able to process so much data at once. 

What do you think about artificial intelligence? Does its future look bright or grim for humanity? Could you share your thoughts with us today?

How can artificial intelligence help in the medical sector?

It’s no mystery that artificial intelligence has created waves in just about every industry. And it’s not limited to Silicon Valley anymore—it’s being used to help patients and physicians alike. Physicians are currently using artificial intelligence to assist with diagnosing disease and making drug decisions, assisting physicians in spending more time on patient care and less time on data entry.

A recent report suggests that by 2022, Artificial Intelligence will be combined into 75 per cent of U.S healthcare organizations. And while use cases continue to evolve, there seems to be little question that AI can already save both time and money for physicians who implement it correctly.

One potential use case involves automating reading x-rays; right now, even after investing over 2 billion dollars in R&D, radiologists still miss 30 per cent of abnormalities on x-rays—and errors tend to have grave consequences for patients.

What is the Future of Artificial Intelligence in Medical?

Artificial intelligence (AI) technologies in modern medicine have increased exponentially over recent years. From industry-leading hospitals to AI companies, everyone wants a piece of it – but what exactly will AI look like in 2028, and what are some examples of how we’re already seeing its effects today?

Let’s take a closer look!

The Future of Artificial Intelligence in Medical:

As technological development for AI systems becomes increasingly sophisticated, advancements for each application have brought up their challenges, along with solutions and potential breakthroughs that may drastically impact healthcare and research programs as we know them.

Due to incredible developments in machine learning capabilities and big data collection from wearable devices such as Google Glass, smartphone apps, or Apple Watch, researchers are now able to collect petabytes of data on how we behave daily; which allows for better predictions about our health conditions based on large amounts of data.

Machine Learning & Deep Learning

Machine learning can be defined as an application of artificial intelligence techniques that allow computers to learn without being explicitly programmed. 

It provides great tools for interpreting and drawing insights from complex data sets, making predictions, finding patterns in data, etc. With deep learning technology, you can more clearly identify relationships within your complex variables by constructing deeper models perfect for healthcare when needing to make sense of patient information.

Medical professionals expect higher accuracy rates and improved reasoning skills using these new methodologies.

For example, here are a few areas where advances in artificial intelligence and machine learning will change healthcare forever:

1. Health records – In approximately 6 billion paper-based records worldwide, digitizing paper-based records alone would save $5 billion annually by reducing the space needed for storage and infrastructure improvements. That’s just one example of how automation could help improve efficiency and quality control across several different hospital departments, not just to save costs but also to improve care outcomes.

2. Diagnosis – Advancements in diagnostic software combined with networks of sensors embedded into self-diagnosing equipment may provide enormous opportunities towards reducing both false positives and unnecessary testing while increasing availability at lower costs around the world

3. Virtual reality and telemedicine – By creating simulations of virtual surroundings, augmented reality allows users to view and interact with digital objects in real-time. This immersive experience will allow doctors to use VR/AR applications while interacting remotely with patients, especially those who live in remote locations. This type of system also has other uses outside of healthcare — training for medical staff, sales presentations, and sports strategy planning, to name a few.

4. Wearable technologies – Wearable smart wristbands or arm patches allow healthcare providers access to constant heart rate monitoring and oxygen saturation levels via smartphones without taking blood samples. Research suggests huge potential for predictive algorithms linking ECG signals to provide additional insight into cardiovascular diseases.

5. Robotic surgeons – With AI surgical robots capable of performing procedures with high precision, less invasiveness, and greater visual clarity in complex surgeries, they are quickly becoming a mainstay in modern medicine. While currently available only for select procedures due to regulatory limitations, robotic surgery looks set to become widespread over the next ten years. Recent announcements from Soft Robotics show just how advanced surgical robotics has become. The future is almost here. Welcome to a New Age of Medicine!

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