AI and Machine Learning

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

Updating Diagnoses for Speed and Accuracy: Using AI, Cameras, Assays, and More

Author(s): Leslie Mertz
Updating Diagnoses for Speed and Accuracy: Using AI, Cameras, Assays, and More 1365 768 IEEE Pulse
When it comes to their health, people want answers right now. But clinicians cannot always make snap judgments about ailments or injuries. One way to help both general practitioners and patients is to introduce technologies that deliver quick and accurate diagnoses in a standard clinical setting. read more

The Path to and Impact of Disease Recognition with AI

Author(s): Yaron Gurovich
The Path to and Impact of Disease Recognition with AI 1243 843 IEEE Pulse
The process of rare disease identification by clinical geneticists is closely associated with the ability to correlate the phenotype of a patient with the relevant genetic syndromes. In order to perform this correlation, the phenotype has to be described in a canonical form read more
Brain AI: Deep Learning for Brain Stimulation

Brain AI: Deep Learning for Brain Stimulation

Author(s): Essam A. Rashed, Takashi Sakai, Jose Gomez-Tames, Akimasa Hirata
Brain AI: Deep Learning for Brain Stimulation 620 375 IEEE Pulse

Other Languages Available: Ver en Español (Read Spanish Version) この記事の日本語翻訳を読む (Read Japanese Version) English A common application for brain stimulation is surgery planning used to identify brain regions before or…

read more