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Ai in Healthcare

How care for cough – one of the top medical complaints – can benefit from RPM and AI

The combined impact of respiratory illness such as COPD, asthma, chronic cough and pneumonia on individuals and health systems is staggering. COPD alone affects more than 15 million people and costs the healthcare system close to $50 billion each year. Effective daily maintenance therapy enables many people who suffer...

AI chatbot ChatGPT may not be accurate enough for self-diagnosis

ChatGPT, a sophisticated chatbot driven by artificial intelligence (AI) technology, has been increasingly used in health care contexts, one of which is assisting patients in self-diagnosing before seeking medical help. Although it seems very useful at...

Google’s chief clinical officer: Healthcare AI ‘should happen with clinicians, not to them’

Generative AI of the “large language” kind has been an attention hog over the past 10 or 11 months. The buzz has been so loud and constant that it’s all but asking to be dismissed as hype. That would be a mistake—especially in healthcare. Consider the pace of...

Harman the latest to launch LLM for healthcare

Harman announced this week that it has developed a private large language model trained on a variety of healthcare data sets. WHY IT MATTERSThe Samsung Electronics subsidiary's advanced deployment techniques using quantization to reduce model size and processing costs by up to one-tenth, according to Harman. The artificial intelligence model...

New contrastive learning method could improve voice pathology detection

Voice pathology refers to a problem arising from abnormal conditions, such as dysphonia, paralysis, cysts, and even cancer, that cause abnormal vibrations in the vocal cords (or vocal folds). In this context, voice pathology detection (VPD)...

AI model detects multiple heart issues in a single 10-second audio clip

The algorithm was tested 58 VHD patients and an additional 52 healthy patients, achieving a sensitivity of 93%, specificity of 98%, accuracy of 97% and positive predictive value of 93%. In fact, the group added, their AI model can identify up to five different valvular diseases from a...

Healthcare AI and HIPAA compliance: 5 key legal questions + answers

Training AI for clinical or research use in healthcare requires feeding algorithms patient data, and lots of it. This opens data custodians—typically hospitals—to various points of potential legal exposure. Tops among the worries are complying with HIPAA, de-identifying patient data and otherwise protecting patients from having their privacy...

Shaping the Future of Therapeutics with 3D Imaging Mass Cytometry

In this interview conducted at SLAS EU 2023 in Brussels, Belgium, we spoke to Laura Kuett, a Ph.D. student in Systems Biology, about the promise of 3D Imaging Mass Cytometry.  Please can you introduce yourself and tell us...

GE HealthCare gets $44M to create AI for mass casualty event preparedness

GE HealthCare announced it signed a $44 million contract with the Biomedical Advanced Research and Development Authority (BARDA) to develop AI-enabled point-of-care ultrasound technology to help clinicians diagnose and treat lung pathologies and traumatic injuries to the head, chest and abdomen. The medtech company will build off its existing...

Microsoft adds Cloud for Healthcare data and AI enhancements

New tools announced this week enable Microsoft Cloud for Healthcare users to access, analyze and visualize data-driven insights across their organization through Fabric architecture, find multi-language support for text analytics and leverage three new artificial intelligence models in Azure. The cloud provider also said more users will have the...