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You could make the case there will be no industry more significantly impacted by advances in artificial intelligence than healthcare and medicine. If we think about artificial intelligence as a tool that can emulate human behavior, then there is no limit its applications in a field that requires constant human involvement.

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Can Artificial Intelligence Map Our Moods?

Can Artificial Intelligence Map Our Moods?

Stanford University Human-Centered AI | Jan 25, 2021

Researchers showed long ago that artificial intelligence models could identify a person’s basic psychological traits from their digital footprints in social media. A new study provides strong evidence that machine-learning models can also map a person’s mood swings and volatility from week to week. Using AI tools to analyze Facebook posts, the new machine-learning model infers both how happy or sad a person is feeling at any given time as well as how aroused or lackadaisical. Over time, this algorithm can even produce a video out of a person’s emotional ups and downs. The findings could spark new worries about privacy or the use of social media to market to people.
Machine Learning Boosts Cancer Prognosis

Machine Learning Boosts Cancer Prognosis

Stanford University Human-Centered AI | Jan 19, 2021

Among the most pressing matters cancer patients and doctors discuss is how serious the disease is and how long the patient can expect to live. These are tough conversations that affect how the patient is treated. And for most of medical history, life-expectancy predictions have mainly been educated guesses based on the physician’s knowledge and experience, among other information. Recently, however, significant improvements have been made to the accuracy of these important predictions by turning to artificial intelligence. A new algorithm could lead to greater accuracy in cancer prognosis and, ultimately and most importantly, to better care for patients.
Augmenting Psychotherapy with AI

Augmenting Psychotherapy with AI

Stanford University Human-Centered AI | Jan 14, 2021

With regards to mental health services, AI — in particular, natural language processing (NLP) tools — could improve care as well as increase access to it. For example, NLP could help researchers figure out what makes some psychotherapists more effective than others — information that could then be used to improve training for new clinicians. NLP systems could also listen in on therapy sessions to provide feedback to clinical trainees or experienced clinicians, create a first draft of necessary clinical documentation, or spot changes in a patient’s speech patterns that might be an early indicator of a worsening condition. More advanced AI might even converse with patients and be available at all hours of the day — increasing access to care.
Using artificial intelligence to find new uses for existing medications

Using artificial intelligence to find new uses for existing medications

Ohio State News | Jan 4, 2021

Scientists have developed a machine-learning method that crunches massive amounts of data to help determine which existing medications could improve outcomes in diseases for which they are not prescribed. The goal of this is to speed up "drug repurposing" -- the idea of using an already developed drug to treat another symptom. Figuring out what other ailments can be treated by an existing drug is no small task, though: it takes an enormous amount of time, data, and experimentation. That's where AI comes in. AI can be used to significantly speed up the process. Drug repurposing is an attractive pursuit because it could lower the risk associated with safety testing of new medications and dramatically reduce the time it takes to get a drug into the marketplace for clinical use.
My Coach, the Artificial Intelligence

My Coach, the Artificial Intelligence

ISPO.com | Dec 10, 2020

Five guiding principles for responsible use of AI in healthcare and healthy living

Five guiding principles for responsible use of AI in healthcare and healthy living

Philips | Nov 19, 2020

The idea of relying on artificial intelligence to make important medical decisions about patients can be a little scary. Can we really rely on AI to understand our health? The short answer: yes, but with oversight. The use of AI in healthcare needs to be driven by ethical standards. For instance, AI should always benefit the health and wellbeing of individuals. AI should never be left alone; it should be overseen and regulated. AI should never do harm. AI should be developed using data represented of all peoples, not only the people who program it. And lastly, the healthcare industry needs to be transparent about the ways in which it is using AI.
Using Artificial Intelligence to Improve Prostate Biopsies

Using Artificial Intelligence to Improve Prostate Biopsies

docwirenews | Nov 17, 2020

Google Health researchers have been using AI to help review prostate biopsies, improving the quality, efficiency, and consistency of cancer detection and grading. Researchers ran studies comparing the quality of analysis with AI and without AI; they found that not only did AI-assisted analyses have higher quality results, they also improved tumor detection, among other benefits.
Artificial Intelligence Fuels Unprecedented Neurosurgical Progress, with Broad Potential Impact

Artificial Intelligence Fuels Unprecedented Neurosurgical Progress, with Broad Potential Impact

NYU Langone Health | Nov 17, 2020

The operating room is getting a lot of attention from artificial intelligence — especially in neurosurgery. In one example from recent research, an algorithm is being developed that could predict tumor treatment responses based on a patient’s genetics. If information like this became available to surgeons and clinicians, their rate of success could increase dramatically.
Easing the Lives of Mental Health Patients Via Artificial Intelligence

Easing the Lives of Mental Health Patients Via Artificial Intelligence

Analytics Insight | Nov 8, 2020

AI has seemingly infinite applications in the world of healthcare, and mental health is no exception. Digital mental health resources are all the rage these days, with smartphone apps that can hook you up with a therapist for convenient counseling. AI is already being used to analyze hospital admissions data to predict the likelihood that someone may take their own life. It is helping therapists increase emotional awareness for patients and clients. And it’s found in chatbots that are available 24/7, offering relevant and helpful responses.
AI-Driven Fitness: Making Gyms Obsolete?

AI-Driven Fitness: Making Gyms Obsolete?

Forbes | Aug 4, 2020

Artificial intelligence is helping fitness apps create tailormade exercise regimens for their users. Apps create a short profile of you then compare you to other similar users. From there, AI can be used to recommend workouts for you, making note of your reactions and results. Using that data, it can adjust the workouts, even taking into consideration what equipment you have at your disposal.
Artificial Intelligence and Hypertension: Recent Advances and Future Outlook

Artificial Intelligence and Hypertension: Recent Advances and Future Outlook

American Journal of Hypertension | Jul 2, 2020

Artificial intelligence is allowing healthcare professionals to more accurately and efficiently treat hypertension. AI-integrated technology can give physicians specific information about each of their patients in order to better help them identify the right medication and treatments.
The primary use of artificial intelligence in cardiovascular diseases: what kind of potential role does artificial intelligence play in future medicine?

The primary use of artificial intelligence in cardiovascular diseases: what kind of potential role does artificial intelligence play in future medicine?

Journal of Geriatric Cardiology | Aug 1, 2019

There is no limit to the ways in which artificial intelligence can be beneficial in healthcare. For instance, AI is already in use scheduling remote follow-up appointments, sending reminders to fill prescriptions or take a daily medicine dosage, facilitating real-time disease counseling, and identifying early symptoms of more serious issues. From the perspective of healthcare professionals, AI helps collect patient information (such as medical history) and can connect and organize electronic medical records. In the future, AI technology will help clinicians make more accurate diagnoses and more successfully predict patient outcomes. AI can help a doctor make a more specialized, more personal medical plan for each patient.

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