Artificial intelligence (AI) has the potential to fundamentally alter the way medicine is
practised. AI platforms excel in recognizing complex patterns in medical data and provide a …

The use of data from the real world to address clinical and policy-relevant questions that
cannot be answered using data from clinical trials is garnering increased interest. Indeed …

Radiotherapy is a critical and inseparable component of comprehensive cancer treatment
and care. For many of the most common cancers in low-income and middle-income …

Purpose To provide evidence-based, resource-stratified global recommendations to
clinicians and policymakers on the management and palliative care of women diagnosed …

Recognizing the increase in cancer incidence globally and the need for effective cancer
control interventions, several organizations, professional bodies, and international …

The number of patients with cancer in Africa has been predicted to increase from 844 279 in
2012 to more than 1· 5 million in 2030. However, many countries in Africa still lack access to …

The global cervical cancer burden falls disproportionately upon women in low and middle-
income countries. Insufficient infrastructure, lack of access to preventive HPV vaccines …

Recent years have seen various reviews on the lack of access to radiotherapy often based
on geographic regions of the world such as Africa, Asia Pacific, Europe, Latin America and …

Artificial intelligence (AI) has demonstrated great progress in the detection, diagnosis, and
treatment of diseases. Deep learning, a subset of machine learning based on artificial neural …

More than 14 million new cases of cancer are diagnosed globally each year; radiation
therapy (RT) has the potential to improve the rates of cure of 3.5 million people and provide …