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Tag: diagnosis

Premio a La Javeriana Enorgullece a Caldas

Article Excerpt: Los premios anuales de la Academia Nacional de Medicina (ANM) tocan este 2021 a Caldas. El galardón a un proyecto con enfoque clínico, de la Pontificia Universidad Javeriana, expuso el trabajo como investigador principal de Carlos Gómez-Restrepo, que tiene familia en Manizales. El estudio que él comandó tiene por nombre Escalando intervenciones en salud mental para la depresión y el uso riesgoso de alcohol en Colombia – Proyecto DIADA (Detección y Atención Integrada de la Depresión y Uso de Alcohol en Atención Primaria).

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Article Source: La Patria


The FDA Should Better Regulate Medical Algorithms

Article Excerpt: Medical algorithms are used across the health care spectrum to diagnose disease, offer prognosis, monitor patients’ health and assist with administrative tasks such as scheduling patients. But recent news in the U.S. is filled with stories of these technologies running amok. From sexual trauma victims being unfairly labeled as “high-risk” by substance-abuse-scoring algorithms to diagnostic algorithms failing to detect sepsis cases in more than 100 health systems nationwide to clinical decision support (CDS) software systematically discriminating against millions of Black patients by discouraging necessary referrals to complex care—this problem abounds.

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Article Source: Scientific American


How Machine Learning Systems Help EHR Usabilty, Mitigate Burden

Article Excerpt: Machine learning systems can aid EHR (electronic health record) usability and cut burden for disease phenotyping to support clinical research, according to a recent Mount Sinai study published in the journal Patterns.The machine learning-based algorithm diagnosed patients as accurately as the standard set of disease phenotyping algorithms for conditions like dementia, sickle cell anemia, and multiple sclerosis.

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Article Source: EHR Intelligence


Machine Learning 101: Promise, Pitfalls and Medicine’s Future

Article Excerpt: You’ve heard the term “machine learning” as it’s becoming recognized as a valuable tool to help physicians in diagnosing and managing patients, as well as other aspects of medicine. But do you understand what that buzzword really means? Two experts recently explained the fundamentals of machine learning, what it means in the clinical setting and the possible risks of using the technology during an education session—“Machine Learning: An Introduction and Discussion of Medical Applications”—that took place during the June 2021 AMA Sections Meetings and was hosted by AMA Medical Student Section.

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Article Source: AMA


Putting Digital Therapeutics to Work for Mental Health

Article Excerpt: National Institute of Mental Health data shows that more than 17.3 million U.S. adults have suffered from an episode of major depression in the past year, and one in three are afflicted by an anxiety disorder. Mental health conditions often go underdiagnosed and undertreated. People also are facing added pressures from COVID-19, which is causing isolation, fear of the virus and financial pressures. When Milwaukee, Wisconsin-based Froedtert & the Medical College of Wisconsin health network instituted routine depression screenings with its patients, it needed options for providers to meet patients’ mental health needs. It expanded its ability to deliver behavioral health services by implementing a digital health app and platform that its primary care and behavioral health caregivers can prescribe as part of a treatment program directly from their EHR workflow.

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Article Source: HealthcareITNews


Machine Learning Could Aid Mental Health Diagnoses: Study

Article Excerpt: In order to accurately identify patients with a mix of psychotic and depressive symptoms, researchers from the University of Birmingham recently developed a way of using machine learning to do so.

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Article Source: ET Healthworld


Reddit Could Tell Us How The Coronavirus Is Affecting Mental Health

Article Excerpt: A team of researchers from MIT and Harvard is working to understand the link between language and mental health during the pandemic — and they’ve turned to Reddit for answers. In a study, published in The Journal of Medical Internet Research this month, the group used machine learning to analyze the text from more than 800,000 Reddit posts coming from 15 subreddits devoted specifically to topics like health anxiety, bipolar disorder, schizophrenia and depression, spanning from January to April.

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Article Source: CNET


Facebook Activity Can Help Identify People with Mental Illnesses

Article Excerpt: Facebook activity can be used to identify people with mood disorders and schizophrenia spectrum disorders more than a year prior to their first psychiatric hospitalization, according to research published in npj Schizophrenia. Although these findings are not meant to substitute for clinical psychiatric assessments, the results suggest that social media data can be used in addition to clinical assessment to support decision-making.

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Article Source: MobiHealthNews


Inferring Psychiatric Illness Based on Digital Activity Crosses Milestone

Article Excerpt: In a sense, the field of psychiatry is stuck in the past; as clinicians, we are reliant on patients’ self-reports and asking family and friends to let us know if their loved one is showing signs of psychiatric illness. This often contributes to delays in effective care. We need to break free of our antiquated ways and pay more attention to the digital era we live in… Now, in two separate research studies, we have been able to accurately predict a patient’s first psychiatric hospitalization and diagnosis more than a year before it happened.

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Article Source: Psychology Today