I’m a believer in science overtaking mortality figures and there is evidence of that already happening when you read the latest survival figures. But too many are still succumbing to this killer disease. I also believe that artificial intelligence (AI) has the potential to help.
Even with cancers of the lung, where known causes are heavily linked to death rates, are decreasing but that is mainly due to preventative measures such as stopping smoking. However, not all cancers of the lung are caused by smoking. Most low-grade Lung NETs is a good example, there are others.
I’ve had a flurry of initiatives appear in my inbox in the last month or two and wanted to document those here. These may not have an impact on you currently but a sign that things are getting better, and these tools such as these could soon be available in all hospitals. Three examples below, all of which have either a preventative or earlier diagnosis angle (or both).
Note: where it says “Lung Cancer”, there is no reason why this cannot be applied to all types of cancer where the primary site is the lung. Read more about the types of Lung Neuroendocrine Neoplasms by clicking here.
Often, benign looking nodules present doctors with difficult decisions. Using special scans and bronchoscopy devices, a camera-equipped catheter can give surgeons a much better view in the lungs.
This sounds amazing!
Read more by clicking here or below
Promising new AI can detect early signs of lung cancer that doctors can’t see. The tool, Sybil, looks for signs of where cancer is likely to turn up so doctors can spot it as early as possible.
Read more by clicking here
Another AI tool. A team of researchers from the University of Oxford and the University of Nottingham have developed a new tool, called ‘CanPredict’, able to identify the people most at risk of developing lung cancer over the next 10 years, and put them forward for screening tests earlier, saving time, money and, most importantly, lives.
Read more by clicking here
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