Scroll to top
Tag: diagnosis
05/10/2022

How Wearables and Health Apps Can Help Diagnose and Treat Diseases

Article Excerpt: Wearable devices, such as fitness trackers and smartwatches, can measure a growing array of health indicators. Machine learning can filter that torrent of data to reveal a continuous, quantified picture of you and your health. But wearables linked to health apps are not only able to help diagnose diseases—they are beginning to treat them too.

Full Article: https://tinyurl.com/2p86ar2w

Article Source: The Economist

03/22/2022

Artificial Intelligence May Help to Classify Colorectal Polyps

Article Excerpt: Researchers at the Geisel School of Medicine at Dartmouth College in Hanover, New Hampshire, recruited 15 pathologists to analyze and classify specimens of the four most common types of colorectal polyps from 100 slides. In one session, about half the doctors used the AI-augmented digital system while the others used just a microscope. After a 12-week break, each group switched techniques and read the same slides again. The pathologists accurately classified the samples 73.9% of the time when using just a microscope and 80.8% when they used the AI-augmented digital system… “This is about helping pathologists make this subtype classification more accurately and more efficiently,” says Saeed Hassanpour, an associate professor at the Geisel School of Medicine who was the senior author of the study.

Full Article: https://tinyurl.com/yspmsfrn

Article Source: Cancer Today Magazine

03/02/2022

Doctors Using AI, Supercomputer To Predict And Prevent 50% Of Mental Illness

Article Excerpt: Almost a billion people globally suffer from some form of mental illness. But doctors from Cincinnati Children’s Hospital are using artificial intelligence and the world’s second most powerful supercomputer for early diagnosis. And that, they say, can make all the difference. “If we can identify this early … we can treat for and alleviate almost 50% of the mental illness that goes into adulthood,” Dr. John Pestian told me recently on the TechFirst podcast. “So catching it young, catching it early, and giving care is a very important part.”

Full Article: https://tinyurl.com/bddp425e

Article Source: Forbes

01/23/2022

New Predictive Computer Program Could Help Detect Individuals at High Risk of Depression

Article Excerpt: A team of scientists from Nanyang Technological University, Singapore (NTU Singapore) has developed a predictive computer program that could be used to detect individuals who are at increased risk of depression. In trials using data from groups of depressed and healthy participants, the program achieved an accuracy of 80 per cent in detecting those individuals with a high risk of depression and those with no risk.

Full Article: https://tinyurl.com/mvtmbc55

Article Source: News Medical

01/11/2022

Patient-Focused Technology Improving Women’s Healthcare

Article Excerpt: One of the most significant advances in patient-focused technology has been the advent of telehealth technologies. From the proliferation of wearable devices that allow round-the-clock patient monitoring to the rise in telemedicine, offering on-demand virtual consultations with healthcare providers, patients have greater access than ever before to the care, and the caregivers, they need. For women, this increased access to care through remote health technologies has profound implications for their overall quality of care. First, studies have shown that women are at significantly higher risk of being misdiagnosed or of failing to receive a timely diagnosis due to unconscious gender biases and the general lack of training in women’s health. With the dawn of wearable health tech and the integration of artificial intelligence (AI) systems into the care regimen, women are receiving faster and more accurate diagnoses than they would likely have been given in a brief clinical encounter.

Full Article: https://tinyurl.com/4x4m3t8d

Article Source: Innovation & Tech Today

11/09/2021

New AI Model Accurately Classifies Colorectal Polyps Using Slides from 24 Institutions

Article Excerpt: An artificial intelligence (AI) model for automated classification of colorectal polyps could benefit cancer screening programs by improving efficiency, reproducibility, and accuracy, as well as reducing access barriers to pathological services. In a new study out of Dartmouth’s and Dartmouth-Hitchcock’s Norris Cotton Cancer Center, a computer science and clinical research team led by Saeed Hassanpour, PhD, trained a deep neural network to do just that. Not only can their model distinguish the four major types of colorectal polyps at the level of practicing pathologists, as evaluated on a dataset across multiple external institutions, but also proves that a model designed using data from a single institution can achieve high accuracy on outside data.

Full Article: https://tinyurl.com/tduukm9b

Article Source: Dartmouth Cancer Center News

10/28/2021

Geisel School of Medicine and Dartmouth-Hitchcock Researchers Receive Prestigious Colombian National Academy of Medicine Award

Article Excerpt: Today, researchers from the Center for Technology and Behavioral Health (CTBH) at Dartmouth’s Geisel School of Medicine, Dartmouth-Hitchcock (D-H), and Pontificia Universidad Javeriana in Bogotá, Colombia, received an award—one of that country’s most prestigious in medicine—from Colombia’s National Academy of Medicine for their work implementing a new primary care model for widespread access to diagnosis and treatment of depression and unhealthy alcohol use. This care model harnesses mobile health technology to increase the reach of science-based mental health care.

Full Article: https://tinyurl.com/5h295edb

Article Source: Geisel School of Medicine News

Dartmouth-Hitchcock Psychiatry Chair and Team Receive Prestigious Colombian National Academy of Medicine Award

Article Excerpt: Researchers from Dartmouth-Hitchcock (D-H), the Center for Technology and Behavioral Health (CTBH) at Dartmouth’s Geisel School of Medicine, and Pontificia Universidad Javeriana in Bogotá, Colombia, have received an award from Colombia’s National Academy of Medicine for their work implementing a new primary care model for widespread access to diagnosis and treatment of depression and unhealthy alcohol use. This care model harnesses mobile health technology to increase the reach of science-based mental health care.

Full Article: https://tinyurl.com/4reb8tfe

Article Source: Dartmouth-Hitchcock News

10/27/2021

Una Nueva Ruta Para Mejorar La Atención De La Depresión Y El Alcoholismo

Article Excerpt: Un modelo de atención de depresión y al uso riesgoso de alcohol ganó la mayor distinción en los Premios Academia Nacional de Medicina a la Investigación Científica. DIADA, como se llama, fue diseñado e implementado por investigadores de la U. Javeriana y el Dartmouth College de EE. UU.

Full Article: https://tinyurl.com/hxrex6w

Article Source: El Espectador