Read article – Nicholas Jacobson, an assistant professor of biomedical data science and psychiatry, is quoted in a newsletter about the latest news in AI. Dartmouth researchers created an app, MoodCapture, that can identify cues associated with depression. “We think that MoodCapture opens the door to assessment tools that would help detect depression in the moments before it gets worse,” Jacobson said.

Read article – Andrew Campbell, a professor of computer science; Nicholas Jacobson, an assistant professor of biomedical data science and psychiatry; and Subigya Nepal, Guarini, are featured in an article about their newly developed app that uses AI to detect signs of depression in the user’s face. “Our goal is to capture the changes in symptoms that people with depression experience in their daily lives,” Jacobson said.

Read article – Features Andrew Campbell, a professor of computer science, in an article about his co-authored study wherein he, alongside Arvind Pilla, Guarini; Subigya Nepal, Guarini; and Nicholas Jacobson, an assistant professor of biomedical data science and psychiatry, developed an app powered by AI to detect signs of depression using cell phone facial recognition software. “The model focuses on a myriad of facial features, including expressions stemming from muscle activations, eye gaze, head pose, and the 2D/3D locations of various face landmarks such as lips and eyes,” Campbell said. “AI is used to derive meaningful insights from each image, including factors like lighting conditions, the number of people in the image, dominant colors, photo location, and background objects.” (Picked up by Yahoo! News.)

Read article – Debra Monticciolo, a professor of radiology, is featured in an article about her study into breast cancer screening. “There is an ongoing debate over the recommendations for breast cancer screening, specifically about when to start and the frequency of screening,” Monticciolo said. (Similar coverage in Oncology News.)

Read article – Subigya Nepal, Guarini, and Andrew Campbell, a professor of computer science, are featured in an article about their study in which they developed an app that uses AI that detects depression from facial cues before the user even knows something is wrong. “We undertook this study to address critical gaps in traditional methods of monitoring and detecting depression. Traditional approaches often involve self-reports and clinical assessments, which can be biased and may not capture the complexity of an individual’s mental state continuously,” Nepal said.

Read article – Debra Monticciolo, a professor of radiology, is featured in an article about her study into breast cancer screening. “It comes down to valuing women’s lives,” Monticciolo said. “I am hoping that primary care physicians see that the risks of screening are manageable, and the benefits are tremendous. We need to do this for women.”

Read article – Debra Monticciolo, a professor of radiology, is featured in an article about her research into the benefits of screening for breast cancer from the age of 40. “The biggest takeaway point of our study is that annual screening beginning at 40 and continuing to at least age 79 gives … the most cancer deaths averted, and the most years of life gained,” Monticciolo said. (Picked up by U.S. News & World Report, Medical Xpress, VTCNG.)