AI and Machine Learning

Improving Psychotherapy With AI: From the Couch to the Keyboard by Summer Allen

Improving Psychotherapy With AI: From the Couch to the Keyboard

Improving Psychotherapy With AI: From the Couch to the Keyboard 768 432 IEEE Pulse
Enhancing quality, expanding access, and measuring outcomes with the aid of artificial intelligence means better care for patients. read more
Finding New Ways to Analyze the Microbiome by Leslie Mertz

Finding New Ways to Analyze the Microbiome

Finding New Ways to Analyze the Microbiome 768 432 IEEE Pulse
The gut microbiome is a key contributor to human health, but untangling how this happens is still a challenge. Bioinformatics, software, and machine learning could help. read more
Comprehensive Database and Machine Learning Put Focus on Gut Microbiome by Leslie Mertz

Comprehensive Database and Machine Learning Put Focus on Gut Microbiome

Comprehensive Database and Machine Learning Put Focus on Gut Microbiome 768 432 IEEE Pulse
A technology company in Gaithersburg, MD, USA, has developed a three-pronged approach to help researchers analyze microbiome samples. read more

AI, Virtual Reality, and Robots Advancing Autism Diagnosis and Therapy

Author(s): Leslie Mertz
AI, Virtual Reality, and Robots Advancing Autism Diagnosis and Therapy 500 315 IEEE Pulse
Autism spectrum disorder (ASD) is a challenge in multiple ways. Just getting diagnosed can take months of visits to doctors and specialists. After the diagnosis, children are often put on long waiting lists to begin therapy, which itself consists of frequent sessions that while helpful, are usually quite taxing for both the children and their parents. And while child-directed therapies are available, adults who are on the spectrum often find little continuing support. Recent technologies are using artificial intelligence (AI), machine learning (ML), virtual reality (VR), and other advanced methods to address all of those issues with faster and easier diagnostics, and in-home therapeutic approaches designed for all ages. read more

Medical Care in the Digital Era

Author(s): Leslie Mertz
Medical Care in the Digital Era 2309 1299 IEEE Pulse
Electronic health records (EHRs), virtual office visits, and health-related apps are priming the path toward a future vision of medical care in the digital age. That future includes streamlining patient-provider interactions, making good use of the wealth of collected data, and ultimately improving all levels of care from prevention to diagnosis, treatment, and outcomes. read more

Predictive Models on the Rise, But Do They Work for Health Care?

Author(s): Leslie Mertz
Predictive Models on the Rise, But Do They Work for Health Care? 1000 500 IEEE Pulse
Predictive models are designed to remove some of the subjectivity inherent in medical decision-making and to automate certain health-related services with the idea of improving the accuracy of diagnosis, providing personalized treatment options, and streamlining the health care industry overall. More and more of these models using approaches including machine learning are showing up for use in doctor’s offices and hospitals, as well as in telemedicine applications, which have become prevalent with the growing demand for online alternatives to office visits. read more

AI-Driven COVID-19 Tools to Interpret, Quantify Lung Images

Author(s): Leslie Mertz
AI-Driven COVID-19 Tools to Interpret, Quantify Lung Images 2560 1440 IEEE Pulse
Qualitative interpretation is a good thing when it comes to reading lung images in the fight against coronavirus 2019 disease (COVID-19), but quantitative analysis makes radiology reporting much more comprehensive. To that end, several research groups have begun looking to artificial intelligence (AI) as a tool for reading and analyzing X-rays and computed tomography (CT) scans, and helping to diagnose and monitor COVID-19. read more

Artificial Intelligence and the Future of Psychiatry

Author(s): Summer Allen
Artificial Intelligence and the Future of Psychiatry 1364 750 IEEE Pulse
An estimated 792 million people live with mental health disorders worldwide—more than one in ten people—and this number is expected to grow in the shadow of the Coronavirus disease 2019 (COVID-19) pandemic. Unfortunately, there aren’t enough mental health professionals to treat all these people. Can artificial intelligence (AI) help? While many psychiatrists have different views on this question, recent developments suggest AI may change the practice of psychiatry for both clinicians and patients. read more

Detecting Faces, Saving Lives How facial recognition software is changing health care

Detecting Faces, Saving Lives How facial recognition software is changing health care IEEE Pulse
Your phone scans your face to unlock its screen. A social media app offers suggestions of friends to tag in photos. Airline check-in systems verify who you are as you stare into a camera. These are just a few examples of how facial recognition technology (FRT) is now ubiquitous in everyday lives. The industries of law enforcement, Internet search engines, marketing, and security have long harnessed FRT, but the technology is becoming increasingly explored in the health care setting, where its potential benefit—and risks—are much greater. read more