Search Tag: digital medicine
2025 09 Nov
Large language models (LLMs) are moving into clinical decision support, yet their value for personalised recommendations remains uncertain. A new benchmark focused on longevity interventions examines how different models perform when asked to generate advice based on biomarker profiles. Using synthetic cases that mirror common scenarios in geroscience,...Read more
2025 09 Nov
Large language models (LLMs) are moving into clinical decision support, yet their value for personalised recommendations remains uncertain. A new benchmark focused on longevity interventions examines how different models perform when asked to generate advice based on biomarker profiles. Using synthetic cases that mirror common scenarios in geroscience,...Read more
2025 09 Nov
Large language models (LLMs) are moving into clinical decision support, yet their value for personalised recommendations remains uncertain. A new benchmark focused on longevity interventions examines how different models perform when asked to generate advice based on biomarker profiles. Using synthetic cases that mirror common scenarios in geroscience,...Read more
2025 07 Nov
Artificial intelligence is accelerating progress across biotechnology and digital medicine by linking genomic, clinical and imaging data to generate more comprehensive insights than any single source alone. Multimodal approaches are now informing target identification, molecule design, clinical trial optimisation and imaging-based diagnosis, with...Read more
2025 07 Nov
Artificial intelligence is accelerating progress across biotechnology and digital medicine by linking genomic, clinical and imaging data to generate more comprehensive insights than any single source alone. Multimodal approaches are now informing target identification, molecule design, clinical trial optimisation and imaging-based diagnosis, with...Read more
2025 07 Nov
Artificial intelligence is accelerating progress across biotechnology and digital medicine by linking genomic, clinical and imaging data to generate more comprehensive insights than any single source alone. Multimodal approaches are now informing target identification, molecule design, clinical trial optimisation and imaging-based diagnosis, with...Read more
2025 07 Nov
Artificial intelligence is accelerating progress across biotechnology and digital medicine by linking genomic, clinical and imaging data to generate more comprehensive insights than any single source alone. Multimodal approaches are now informing target identification, molecule design, clinical trial optimisation and imaging-based diagnosis, with...Read more
2025 07 Nov
Artificial intelligence is accelerating progress across biotechnology and digital medicine by linking genomic, clinical and imaging data to generate more comprehensive insights than any single source alone. Multimodal approaches are now informing target identification, molecule design, clinical trial optimisation and imaging-based diagnosis, with...Read more
2025 06 Oct
Health systems face persistent pressure to reduce hospital readmissions, yet outcomes from post-discharge programmes vary across settings and target conditions. An integrated approach evaluated whether causal machine learning could help allocate care coordination resources to patients most likely to benefit despite being at lower baseline risk....Read more
2025 23 Sep
Clinical AI is moving quickly from operational use into decision support, bringing a growing array of predictive and generative tools to the bedside. Yet expecting every clinician to select, apply and interpret complex models reliably is unrealistic. Evidence shows that handing model outputs directly to physicians does not consistently improve...Read more
2025 23 Sep
Clinical AI is moving quickly from operational use into decision support, bringing a growing array of predictive and generative tools to the bedside. Yet expecting every clinician to select, apply and interpret complex models reliably is unrealistic. Evidence shows that handing model outputs directly to physicians does not consistently improve...Read more
2025 23 Sep
Clinical AI is moving quickly from operational use into decision support, bringing a growing array of predictive and generative tools to the bedside. Yet expecting every clinician to select, apply and interpret complex models reliably is unrealistic. Evidence shows that handing model outputs directly to physicians does not consistently improve...Read more
2025 23 Sep
Clinical AI is moving quickly from operational use into decision support, bringing a growing array of predictive and generative tools to the bedside. Yet expecting every clinician to select, apply and interpret complex models reliably is unrealistic. Evidence shows that handing model outputs directly to physicians does not consistently improve...Read more
2025 06 Jul
The implementation of artificial intelligence in healthcare holds significant promise for enhancing care delivery, operational efficiency and patient outcomes. However, many health systems face challenges when evaluating vendor-provided AI tools, particularly in determining their long-term value and sustainability. Most existing AI governance...Read more
2025 06 Jul
The implementation of artificial intelligence in healthcare holds significant promise for enhancing care delivery, operational efficiency and patient outcomes. However, many health systems face challenges when evaluating vendor-provided AI tools, particularly in determining their long-term value and sustainability. Most existing AI governance...Read more
2025 14 Jun
The integration of wearable devices into modern healthcare enables continuous patient monitoring and data-driven treatment. Yet, with this digital transformation comes significant cybersecurity risk. Once isolated threats are now global concerns as the Internet of Medical Things (IoMT) becomes a critical infrastructure in healthcare. Vulnerabilities...Read more
2025 14 Jun
The integration of wearable devices into modern healthcare enables continuous patient monitoring and data-driven treatment. Yet, with this digital transformation comes significant cybersecurity risk. Once isolated threats are now global concerns as the Internet of Medical Things (IoMT) becomes a critical infrastructure in healthcare. Vulnerabilities...Read more
2024 15 Apr
Artificial intelligence (AI) holds promise for revolutionising healthcare by enhancing outcomes, patient safety, and accessibility while addressing workforce shortages and burnout. However, current efforts are insufficient due to issues like non-standardised health data and concerns about monitoring AI tools. The Future of Health (FOH), in collaboration...Read more
2024 15 Apr
Artificial intelligence (AI) holds promise for revolutionising healthcare by enhancing outcomes, patient safety, and accessibility while addressing workforce shortages and burnout. However, current efforts are insufficient due to issues like non-standardised health data and concerns about monitoring AI tools. The Future of Health (FOH), in collaboration...Read more
2023 16 Nov
In a recently published perspective in npj Digital Medicine, a team of researchers from Duke-National University Singapore Medical School concluded that achieving fair AI in healthcare necessitates collaboration among experts from various disciplines. The persistent concern regarding bias looms large, highlighting the need for careful consideration...Read more