Search Tag: digital medicine
2025 27 Oct
Large language models (LLMs) can recall extensive medical facts yet still produce unsafe outputs when prompted in ways that conflict with basic logic. Researchers evaluated five frontier LLMs using drug prompts that deliberately misrepresented brand–generic equivalence, a setting where models already have the knowledge to recognise the flaw. The...Read more
2025 27 Oct
Large language models (LLMs) can recall extensive medical facts yet still produce unsafe outputs when prompted in ways that conflict with basic logic. Researchers evaluated five frontier LLMs using drug prompts that deliberately misrepresented brand–generic equivalence, a setting where models already have the knowledge to recognise the flaw. The...Read more
2025 21 Oct
Large language models (LLMs) are increasingly explored in mental health where speech and narrative often mirror symptom burden. A German BERT-based model was fine-tuned to estimate item-level scores on the Montgomery-Åsberg Depression Rating Scale (MADRS) using language alone from structured interviews. The approach predicted continuous scores...Read more
2025 21 Oct
Large language models (LLMs) are increasingly explored in mental health where speech and narrative often mirror symptom burden. A German BERT-based model was fine-tuned to estimate item-level scores on the Montgomery-Åsberg Depression Rating Scale (MADRS) using language alone from structured interviews. The approach predicted continuous scores...Read more
2025 24 Sep
Biomedical foundation models are increasingly being integrated into healthcare, but their evaluation methods often fail to reflect real-world conditions. Performance can deteriorate when data sources, clinical workflows or user interactions shift, creating risks for patient safety and clinical decision-making. An analysis of more than 50 biomedical...Read more
2025 22 Jun
Artificial intelligence (AI) holds considerable promise for transforming healthcare through earlier diagnoses, more efficient care delivery and tailored treatments. However, despite rapid technological advances, few AI systems are successfully integrated into clinical settings. This persistent translational gap is driven not by a lack of accuracy...Read more
2025 22 Jun
Artificial intelligence (AI) holds considerable promise for transforming healthcare through earlier diagnoses, more efficient care delivery and tailored treatments. However, despite rapid technological advances, few AI systems are successfully integrated into clinical settings. This persistent translational gap is driven not by a lack of accuracy...Read more
2025 22 Jun
Artificial intelligence (AI) holds considerable promise for transforming healthcare through earlier diagnoses, more efficient care delivery and tailored treatments. However, despite rapid technological advances, few AI systems are successfully integrated into clinical settings. This persistent translational gap is driven not by a lack of accuracy...Read more
2023 04 Dec
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2023 22 May
Medical digital algorithms are computer programs that use complex mathematical equations to analyse data and make predictions about medical conditions. These algorithms have the potential to revolutionise healthcare by improving accuracy, reducing costs, and providing personalised treatment plans. Despite their potential benefits to...Read more
2023 22 May
Medical digital algorithms are computer programs that use complex mathematical equations to analyse data and make predictions about medical conditions. These algorithms have the potential to revolutionise healthcare by improving accuracy, reducing costs, and providing personalised treatment plans. Despite their potential benefits to...Read more
2023 22 May
Medical digital algorithms are computer programs that use complex mathematical equations to analyse data and make predictions about medical conditions. These algorithms have the potential to revolutionise healthcare by improving accuracy, reducing costs, and providing personalised treatment plans. Despite their potential benefits to...Read more
2021 20 Oct
On the Way to the Prevention Age It is time to rethink the healthcare system from the principle of digital prevention. Value creation in healthcare should not be geared to diseases, but to prevention. Prevention should be the priority. Only in this way, we achieve crony health , digital sovereignty and sufficient success for all....Read more
2021 26 Apr
Ethical consideration of Greatness and Limits of data-driven smart medicine “The development of full artificial intelligence could spell the end of the human race. It would take off on its own, and re-design itself at an ever-increasing rate. Humans, who are limited by slow biological evolution, couldn’t compete and would be superseded.”...Read more
2019 02 Jul
Voice assistants are used for a variety of reasons, from helping users do simple web search to keeping track of business meetings (similar to an office assistant or secretary). The technology is also being used to help with some tasks related to healthcare. Some large hospitals, for example, have "chatbots" that patients can communicate with to...Read more
2018 23 May
With the advent of smart hospitals, the digital future of clinical medicine calls for a new ethical framework. Fact: whether you like digital medicine or not—it is already here. Also true: facts do not hold normative power—the presence of breathtaking technological progress A is by no means a pro-ethical argument to use A. Artificial intelligence...Read more