Large language models generate plausible text responses to medical questions, but inaccurate responses pose significant risks in medical decision-making. Grading LLM outputs to determine the best model or answer is time-consuming and impractical in…
Continue Reading
If you have a condition that's led you to seek care at multiple organizations, collecting that data and getting it all in one place where you can actually operate on it is an enormous…
Continue Reading
Small language models (SLM) offer promise for medical applications by addressing the privacy and hardware constraints of large language models; however, their limited parameters (often fewer than ten billion) hinder multi-step reasoning for complex…
Continue Reading
While holding great promise for improving and facilitating healthcare through applications of medical literature summarization, large language models (LLMs) struggle to produce up-to-date responses on evolving topics due to outdated knowledge or hallucination. Retrieval-augmented…
Continue Reading
Digital chronic condition management company DarioHealth announced it closed a debt financing facility for up to $50 million by Callodine Group and Rand Capital. The new funding restructures the company’s prior credit facility and will…
Continue Reading
The integration of patient-reported outcomes (PROs) in digital health (DH) trials for cardiovascular diseases (CVDs) remains unknown. We searched ClinicalTrials.gov for randomized trials that tested DH interventions in CVDs from 2004 to 2024. The…
Continue Reading
The Digital Medicine Society (DiMe) announced it is partnering with Alcohol and Drug Services (ADS), Duke University, Google Fitbit, Morse Clinics, North Carolina Central University, Ōura, ProofPilot, Triangle CERSI and the University of North…
Continue Reading
Welcome to the April edition of Digital Health Digest, where we bring you the latest breakthroughs and trends transforming healthcare technology.In this episode, we’ll cover cutting-edge innovations—from advanced AI solutions and strategic partnerships to…
Continue Reading
The growth in digitization of health data provides opportunities for using algorithmic techniques for data analysis. This systematic review assesses whether quantum machine learning (QML) algorithms outperform existing classical methods for clinical decisioning or…
Continue Reading
More than half of the British public (54%) have not heard of AI being used in healthcare, according to a survey of public attitudes to AI in healthcare.
The research, conducted by J.L. Partners on…
