With new AI models from Google and Anthropic emerging, studies highlight GPT-4o’s leading performance, though other models also show strong capabilities.
Elsevier’s study which surveyed nearly 3,000 people globally working in research and healthcare shows that while 95% believe that it is a great source of knowledge, 87% think that using
Additionally, available as an NVIDIA NIM inference microservice, Meta Llama 3 supports a wide range of applications, including surgical planning, digital assistants, drug discovery, and clinical trial optimisation.
Large language models are being extensively used to build AI healthcare solutions; however, their glaring limitations are pushing companies to reconsider this approach.
The extended approval time cycle for AI-enabled medical devices, such as DermaSensor for detecting skin cancer, sheds light on the hindrances to innovation
Numerous top hospitals have adopted Oracle in various capacities, but the cloud giant is pushing for innovation in Indian healthcare
“While Google is building for the US, August’s focus on India and its empathetic conversation will be key differentiators for us.”
Google at its annual event called “The Check Up”, announced the latest version of its medical large language model called MedPaLM — along with new health initiatives and partnerships. According
BioGPT achieves SOTA results on end-to-end relation extraction tasks.
AIIMS Jodhpur will also deliver mixed reality enabled remote healthcare services in the district of Sirohi to strengthen medical facilities delivered to underserved locations.
Our AI algorithms are constantly evaluated using objective performance metrics.
Qure.ai’s automated medical imaging tools can shorten the time to diagnosis.
Using AI, it is possible to have a stroke CT scan performed in Boston reported within 15 minutes from across the globe.
The students have developed AI models to fight cyberbullying, help people on the autism spectrum and offer medical assistance in remote locations.
The Work Trend Index Special Report survey was conducted by Edelman Data x Intelligence.
The Second-generation AI systems focus on progress where rather than analysing data for diagnosis assistance, prediction, or tailoring therapy, the second-generation platforms help in improving the biological processes.
Explainability is emerging for many domains such as medical imaging, assisted driving, and manufacturing defect detection.
Due to the abundance of sensor data, sensor fusion is in high demand. AI-enabled sensor fusion has a wide range of applications.
The World Health Organization (WHO) recently issued its first global report on artificial intelligence in healthcare and six guiding principles for its design and use. The report titled ‘Ethics and
Deep Imbalanced Regression, DIR, helps effectively perform regression tasks in deep learning models with imbalanced regression data
“Digital transformation since the pandemic has been massive. Telehealth has gone from being a novelty to a necessity. Having said that, we need to be reliant on healthcare institutions to
COVID-19 has hit businesses like never before, and organisations have found it very hard to cope with this sudden change in reality. While all the sectors were impacted, healthcare was
Proteomics is a field of study that deals with the analysis of the protein component of a cell or a tissue under a set of defined conditions. It is used
Machine learning has shown significant improvement in healthcare. Researchers have developed models that can diagnose critical conditions like diabetic eye disease or metastatic breast cancer. The computer vision has been
“A disproportionate amount of power lies with research teams who, after determining the research questions.” The improved methods of collecting high-quality data, coupled with advancements of machine learning models fueled
Healthcare is under the microscope this year like never before. Hospitals are being asked to do more with less, and researchers are working around the clock to answer pressing questions.
According to a report published last year, the cost of finding a new medicine is a whopping $2.5 billion, which is up from $1.8 billion in 2010. A popular drug
Back in 2016, Google’s AI team have burdened themselves with tackling one of the fastest-growing illnesses of our time — diabetic eye diseases. Diabetic retinopathy (DR) — an eye condition,
Boston Dynamics has released a payload and application architecture for their mobile robot in order to protect healthcare workers amid COVID-19. In a recent blog post, the robotics firm stated
Similar to CDC in the US, does India’s health ministry also need a chief data officer skilled at getting the best out of the current epidemiological data? India has been
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