Patients sought greater transparency over AI-mediated data processing, although more detailed consent controls did not significantly change usability or willingness to share information....
The approach retained most of the performance of centralised training while allowing three health systems to keep patient-level intensive-care data locally....
The proceedings examine clinical validation, patient safety, privacy and accountability as AI tools are integrated into oncology research and care....
The model identified five patient groups with different risks of cardiovascular disease, cognitive decline and death beyond conventional sleep apnoea measures....
AI is increasingly moving beyond routine productivity tasks to influence how MedTech sales teams prioritise opportunities and allocate their time...
The study collected more than 3,250 fresh biopsy specimens across seven medical centers...
Greater access to genomic testing, local population data and real-world evidence will be central to widening the clinical use of liquid biopsy and precision medicine across Asian healthcare systems....
Hospitals need secure deployment platforms, local validation, sustainable financing and clear governance to translate healthcare AI into safe, scalable clinical use....
The multi-omics tool combines genomic and clinical data and outperformed TNM staging in identifying patients at risk of hepatocellular carcinoma recurrence after surgery....
The upgraded service system is designed around risk prevention and proactive intervention, supporting a shift from traditional reactive healthcare towards preventive and personalised health management...
