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Improving the transparency and reliability of observational studies through registration

Florian Naudet and colleagues argue that routine registration of observational research is needed and suggest how current processes can be adapted to facilitate it From the use of booster doses against covid-191 to approval of novel cancer therapies,2 health authorities and health technology assessment bodies are increasingly relying on non-randomised trials and observational studies. The methodological problems of observational studies, such as residual confounding,3 are difficult to resolve, b...
Florian Naudet Nicholasj Devito Chiragj Patel Alain Braillon Le Goff Ioanaa Cristea
Source: bmj.com

Generative AI for medical research

Protecting against misuse without forfeiting the potential benefits is key The global market for artificial intelligence (AI) for healthcare is booming. Currently valued at $15bn (£12bn; €14bn), it is expected to near $200bn by 2030.12 Public sector spending on AI for healthcare is also on the rise. The UK government, for example, has already invested more than £123m in AI for healthcare technologies.3 Of course, previous AI “summers” were followed swiftly by AI “winters,” when the g...
United Kingdom J Morley Jessica Nicholasj Devito Jessica Morley Joe Zhang
Source: bmj.com

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