AWS Machine Learning Blog Analyzing medical images plays a crucial role in diagnosing and treating diseases. The ability to automate this process using machine learning (ML) techniques allows healthcare professionals to more quickly diagnose certain cancers, coronary diseases, and ophthalmologic conditions. However, one of the key challenges faced by clinicians and researchers in this field […]Continue reading

AWS Machine Learning Blog Explainability of machine learning (ML) models used in the medical domain is becoming increasingly important because models need to be explained from a number of perspectives in order to gain adoption. These perspectives range from medical, technological, legal, and the most important perspective—the patient’s. Models developed on text in the medical […]Continue reading

Coronavirus | The Guardian Case brought against General Medical Council for failure to look into claimed links to heart problems and deathsThe regulator charged with upholding professional standards in UK medical practice is being sued by a junior doctor over its refusal to investigate a cardiologist for spreading allegedly “harmful misinformation” about Covid vaccines.Dr Matt […]Continue reading

MIT News – Artificial intelligence Medical researchers are awash in a tsunami of clinical data. But we need major changes in how we gather, share, and apply this data to bring its benefits to all, says Leo Anthony Celi, principal research scientist at the MIT Laboratory for Computational Physiology (LCP).  One key change is to […]Continue reading

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