Clinical AI

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Almanac Health Launches AI Workspace for Clinical and Medical Research Tasks

Almanac Health, the clinical AI company founded by physician-researcher Cyril Zakka, launched Almanac Chat on 23 September 2026 as an AI workspace for clinical work. It combines cited clinical answers, patient workspaces with memory, dictation and encounter capture, an Epic connection over FHIR, reusable skills for research tasks and document creation. This article covers each feature, the permission controls, the Free, Pro and Max pricing, the NEJM AI and Almanac Copilot research behind it, and what UK organisations should check before adopting it.

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AI Has Human Doctors Asking: What’s Left for Us?

Physician AI use went from 38% to 81% in three years, and 88% of the same doctors now report concern about losing clinical skill. This piece separates the benchmark results from the clinical ones: why Microsoft’s 85.5% versus 20% comparison barred its physicians from colleagues and textbooks, what the Lancet colonoscopy deskilling study actually found, how much time ambient scribes really save, what UK regulators decided about AI scribes in July 2026, and which parts of clinical work no deployed system touches.

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Why Clinics Are Moving Away from Cloud AI: Private AI for Healthcare

Why Clinics Are Moving Away from Cloud AI: Private AI for Healthcare

Private AI for Healthcare is rapidly becoming one of the most important strategies for hospitals, clinics, diagnostic laboratories, and healthcare innovators seeking to balance artificial intelligence with strict patient privacy requirements. While cloud-based AI platforms have accelerated innovation across many industries, healthcare organizations increasingly recognize that medical information demands a fundamentally different security model. As […]

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New framework improves clinical reasoning and decision making in AI systems

New framework improves clinical reasoning and decision making in AI systems

New framework improves clinical reasoning and decision making in AI systems, introducing a significant advancement in the development of medical artificial intelligence. Traditional healthcare AI tools have often excelled at narrow tasks such as image classification, pattern recognition, or data retrieval, but they have struggled with the deeper reasoning processes that clinicians use when evaluating […]

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