J Hellig,C Nieuwoudt,M Conradie-Smit et al.
J Hellig et al.
RECOMMENDATIONS 1. HCPs should assess their own attitudes and beliefs regarding obesity and consider how their attitudes and beliefs may influence care delivery (Level 1a, Grade A). 2. HCPs should recognise that internalised weight bias (bi...
The ethics and law of medical AI in South Africa: Balancing innovation with responsibility [0.03%]
南非医学人工智能的伦理与法律：平衡创新与责任
M Ngcobo
M Ngcobo
The rapid integration of artificial intelligence (AI) into medical practice presents both transformative opportunities and profound ethical and legal challenges. In South Africa, a country with a dual healthcare system and significant dispa...
S Mahomed
S Mahomed
The concept of keeping health data private is constantly being tested, as what constitutes health data has grown significantly, now including massive amounts of personal information from a variety of sources, such as genomic data, radiologi...
A E Daryanani,J M Ehrenfeld
A E Daryanani
Artificial intelligence (AI) is rapidly transforming healthcare, with applications ranging from diagnostics and predictive analytics to administrative automation. AI holds immense potential to enhance clinical efficiency and improve patient...
AI and its application within UK healthcare: British Medical Association perspective [0.03%]
人工智能及其在英国医疗保健领域的应用：英国医学协会视角
D Norcliffe-Brown,F McCartney
D Norcliffe-Brown
This paper is based on a talk given by Dominic Norcliffe-Brown of the British Medical Association (BMA) to the South African Medical Association on 28 November 2024, which explained the BMA policy paper 'Principles for Artificial Intelligen...
W Janneker
W Janneker
South Africa's healthcare system struggles with resource constraints, workforce gaps, and rising disease burdens. Artificial intelligence (AI) offers a scalable solution - enhancing diagnostics, drug discovery, and clinical decision-making ...
Bridging the gap in rural and underserved areas through AI-enabled solutions [0.03%]
通过AI驱动的解决方案弥合农村和医疗资源匮乏地区之间的差距
L J Mnyaka
L J Mnyaka
Healthcare disparities between urban and rural populations remain one of the most pressing challenges in global health. In underserved areas, patients face numerous obstacles, including a lack of healthcare infrastructure, long distances to...
Maternal near miss and maternal mortality and their determinants among pregnant women at a rural tertiary centre in the Eastern Cape Province, South Africa: A cross-sectional study [0.03%]
南非东开普省农村三级中心孕妇的孕产妇死神和孕产妇死亡及其决定因素：一项横断面研究
A Kama,G Buga,M Nanjoh
A Kama
Background: Maternal near miss (MNM) is a significant entity in the assessment of the quality of obstetric care, particularly at institutional level. It renders possible the assessment of events surrounding a woman surviv...