Scientists have used an implanted sensor to record the brain signals associated with handwriting, and used those signals to create text on a computer in real time.
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Professor Dr Henning Windhagen is a great fan of semi-automatic systems in the OR that help with implants but leave the surgeon in the driver’s seat.
Deep learning-based system enables dermatologist-level identification of suspicious skin lesions from smartphone photos, allowing better screening.
Researchers have demonstrated a novel multifunctional ultrathin contact lens sensor layer with transistors that may revolutionise the manufacture of smart contact lenses.
Researchers have examined how mobile technologies have been used in monitoring and mitigating the effects of the Covid-19 pandemic.
Researchers have developed a way for deep learning neural networks to rapidly estimate confidence levels in their output.
Artificial intelligence is developing at an enormous speed and intelligent instruments will profoundly change surgery and medical interventions.
Researchers have developed a surgical robot that improves precision and control of teleoperated surgical procedures.
Engineers are developing a massive fluid dynamics simulator that can model blood flow through the full human arterial system at subcellular resolution.
Scientists have developed the world's first fully integrated bionic arm prosthesis that is ready to use – in keeping with the motto "Plug and Play".
Researchers used robots to study how our brains adjust to changes in our walking strides, gaining insights that could be used to develop better physical rehabilitation programs.
Biomedical engineers developed a handheld 3D bioprinter that could revolutionize the way musculoskeletal surgical procedures are performed.
During its latest keynote presentation, tech giant Apple announced cooperations for health studies. The latest model of their smartwatches are to be key in their execution.
Machine enhanced humans – or cyborgs as they are known in science fiction – could be one step closer to becoming a reality.
A machine learning method discovered a clue in people’s language predictive of the emergence of psychosis — the frequent use of words associated with sound.
A team of experts led by two University of Michigan researchers calls for attention to this shadow record.
Researchers have created a novel 3D printing workflow that allows cardiologists to evaluate how different valve sizes will interact with each patient's unique anatomy, before the medical procedure is actually performed.