Hippocratic

Find the latest for Hippocratic company news

HMS Researchers Find Open-Source AI Tool As Accurate As GPT-4 In Diagnosing Patient Case Studies

Researchers at Harvard Medical School found that a new open-source artificial intelligence tool is diagnosing patients as accurately as leading proprietary models — like OpenAI's GPT-4 — for the first time.

YC-backed Taxo raises $5M to slash healthcare admin with its AI 'reasoning engine'

Founded last year and based in San Francisco, Taxo tells TechCrunch it passed $1 million ARR six months after its launch. It now serves about 15 customers, ranging from clinics to government providers.

AI-based GPT to offer real-time validated health content to counter misinformation

Healthcare professionals, marketers and institutions spend nearly 40 per cent of their time creating and publishing content, which diverts resources from patient care, research and innovation.

AI can never replace physicians: Dr Bhargava

Visakhapatnam: Artificial intelligence (AI) is revolutionising healthcare, but it can never replace a compassionate physician, said Dr Balram Bhargava.

Hippocratic AI to launch upgraded AI models

In the past few weeks, several health tech companies have launched AI tools to help organizations complete time intensive functions more efficiently.

Princeton Precision Health: An interdisciplinary, AI-driven approach to tackling big questions about health and disease

PPH researchers apply cutting-edge AI and computational models to massive datasets to develop a deep understanding of the factors that shape health and illness.

AI nurses: Staffing solution for hospitals or a threat to quality care?

"Hospitals have been waiting for the moment when they have something that appears to have enough legitimacy to replace nurses," said Michelle Mahon of National Nurses United. "The entire ecosystem is designed to automate, de-skill and ultimately replace caregivers."

Cybersecurity 7month
Healthcare's AI dilemma: Faster diagnoses, but at what cost?

The use of LLMs in healthcare involves sensitive patient data, making privacy a critical concern. Data leakage, unauthorized information retention, and vulnerabilities to adversarial attacks pose significant risks to patient confidentiality.