As scientists gain a deeper understanding of cancer, we have begun to tailor treatments to specific types of the disease. By putting a cancer tumor through advanced molecular testing, we can find out what proteins and genes are specific to this particular tumor and match it to the most effective treatment. The results are significant improvements in the survival rates of those patients fortunate enough to have a type of cancer for which a treatment is available. The trouble is, too few patients are so fortunate. Despite a great deal of cancer research conducted over the past few decades, only a handful of targeted therapies have reached clinical practice--between 8-and-15 percent of cancer patients in the US are eligible to receive targeted therapy.
It's time to personalize mental health and optimize physical training -- and I don't want to wait around for appointments with six-figure graduate students using decades-old technology to give me one-size-fits-all treatment options. The current applications for AI tech include a myriad of tools that are going to revolutionize medicine, mental health, and physical therapy. Machine-learning can and should replace traditional patient treatment methods. Whether addressing physical therapy motivation or mental health stigma – anything that allows people to feel better about beginning the road to recovery and staying on it is a wonderful thing.
Future AI systems are ramped up into medical research and evolving the best practices in the healthcare sector. With constant improvement in a different paradigm, patient-centered service is a leading focus. This aims for improving between good health care and the healthcare that people actually receive. Using advanced human-generated data devices, multiple office visits for checkups, and routine treatment are replaced with remote monitoring. Providers can save time and increase the accuracy of their diagnoses when this tracking is combined with online consultations, driven by AI.
Artificial Intelligence (AI) is one of the most exciting and controversial developments in science and technology. While the recognised applications of AI are limited, think Google and Siri, many believe it is poised to make significant contributions to organizations as it is used to advance and accelerate decision-making. Can we apply cognitive technology to amplify our intelligence and improve the effectiveness and efficiency of medicine? To enhance the patient experience and improve engagement? To improve diagnostic accuracy and personalize treatment with remarkable precision?
Here in Southern California, where I live, AT&T is teaming up with end-of-life care provider VITAS Healthcare to study whether virtual reality and augmented reality can help reduce chronic pain and anxiety for some hospice patients. Utilizing newly available 5G in the trial areas, the study's aim is to test low-latency connectivity and on-demand streaming AR & VR content can be leveraged toward alternative therapies administered to keep patients comfortable, calm, and mentally engaged. It's the latest in a growing number of efforts to use mixed reality technologies to deliver medical care to patients. By one estimate, the global market for AR & VR in healthcare will top $6 billion by 2025. A more robust body of evidence will be needed, however, for healthcare providers to outlay big money on alternative treatments in the long run.