Artificial General Intelligence (AGI) is reshaping radiation oncology, boosting precision and efficiency. AGI models like GPT-4, PaLM 2, and LVMs such as SAM excel in auto-segmentation, treatment planning, and outcome prediction. Their few-shot and…
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California-based virtual reality therapeutic company AppliedVR announced it secured an expanded contract with the U.S. Department of Veterans Affairs via its Office of Healthcare Innovation and Learning, dubbed VA Immersive, to provide veterans with…
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The promise of artificial intelligence in healthcare is enormous – with algorithms able to find answers to big questions in big data, and automation helping clinicians in so many other ways. On the other hand,…
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LUMA Vision’s VERAFEYE platform, backed by a $22 million Series A3 financing, revolutionizes cardiac imaging. Employing 4D technology and machine learning, it offers real-time soft tissue imaging for precise intracardiac navigation. With funding from…
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AI’s synergy with radiology reshapes healthcare by enhancing diagnostics, streamlining workflows, and amplifying precision. Evolving from early skepticism, AI, especially deep learning and radiomics, redefines diagnostics. AI’s integration spans the patient journey, optimizing processes…
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Gary Shorter – Head, AI and Data Science, IQVIA Technologies
In the healthcare ecosystem, automation and data intelligence continue to gain momentum as artificial intelligence (AI) and machine learning (ML) are integrated to streamline and accelerate processes.
The clinical trial space is one area where…
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LUMA Vision, maker of a 4D cardiac imaging and navigation platform that uses machine learning, announced it secured $22 million in Series A3 financing. The round was led by existing investors ABV Uni Fund, imec.xpand,…
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2024 will see a boom in artificial intelligence in healthcare that will lead to a greater scrutiny of AI’s various processes. The AI boom will result in a skills gap and a need for…
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Advanced stroke treatment is time-dependent and, therefore, relies on recognition by call-takers at prehospital telehealth services to ensure fast hospitalisation. This study aims to develop and assess the potential of machine learning in improving…
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By Shania Kennedy
December 19, 2023 – Researchers from the Smidt Heart Institute at Cedars-Sinai, Stanford University, and Columbia University have developed and validated a deep learning (DL) model capable of predicting postoperative mortality risk, according…
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