Mass General Brigham-led study found that large language models (LLMs) often fail to challenge illogical medical prompts due to sycophantic behavior, posing risks for misinformation. The researchers ...

New York, NY – Oct 17, 2025 – The Global AI In Cardiology Market was valued at the USD 1.5 Billion in 2024 and is projected ...

Abstract: The paper aims to evaluate and provide a comparative analysis of the performance and fine-tuning cost of various Large Language Models (LLMs) such as GPT-3.5, GPT-4, PaLM, Bard, and Llama in ...

A highly touted partnership between Broward Health and Florida Atlantic University to collaborate for clinical training and ...

Area elementary students are getting a hands-on experience on the work and education health care workers receive.

By leveraging machine learning, the platform translates intricate medical terminology into actionable insights.

Harvard experts reveal screen-free habits vital for children's brain growth. Family meals, outdoor play, reading and hands-on ...

Abstract: Semi-supervised learning methods, compared to fully supervised learning, offer significant potential to alleviate the burden of manual annotations on clinicians. By leveraging unlabeled data ...

One of the primary concerns identified in this paper is the LLMs’ self-referential learning loops, where AI-generated content feeds into the learning algorithms, threatening the diversity of the data ...

The authors have declared no conflicts of interest. This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors. The work was supported ...

This is the official PyTorch implementation of LLMDet. Recent open-vocabulary detectors achieve promising performance with abundant region-level annotated data. In this work, we show that an ...