Search Tag: Artifical Intelligence
2023 25 Oct
Artificial intelligence (AI) and its latest offering, ChatGPT, is increasingly used in medicine to enhance disease diagnosis treatment and reduce unnecessary patient screenings. However, an international task force, including a bioethicist from the University of Rochester Medical Center, has cautioned that AI medical devices could potentially harm...Read more
2023 20 Sep
A recent study from the Karolinska Institute, published in The Lancet Digital Health, reveals that a single radiologist aided by AI detected more cases of breast cancer in screening mammography compared to the combined efforts of two radiologists. The findings were reported in the ScreenTrustCAD study conducted by the Institute. The team revealed that...Read more
2023 30 Aug
The scale of destruction wreaked on human life and happiness by cancer hardly needs any illustration. Significant disparities exist between countries, caused primarily by differences in national wealth and income. OncoSeek provides good accuracy in detection and diagnosis and will be a game-changing and life-saving multi-cancer early detection test....Read more
2023 30 Aug
Artificial intelligence (AI) has made significant advancements in various fields, including medical imaging, such as ultrasound (US). AI methods can be employed to enhance the analysis and interpretation of ultrasound images. The trustworthiness of AI in ultrasound depends on various factors and AI algorithms should undergo ongoing monitoring and...Read more
2023 30 Aug
Artificial intelligence (AI) has made significant advancements in various fields, including medical imaging, such as ultrasound (US). AI methods can be employed to enhance the analysis and interpretation of ultrasound images. The trustworthiness of AI in ultrasound depends on various factors and AI algorithms should undergo ongoing monitoring and...Read more
2023 30 Aug
In a world where AI and robotics are reshaping the landscape of healthcare, the need for close collaboration and sharing among healthcare providers, medical device companies, tech startups, patients, payers, and regulatory bodies becomes paramount. By adopting a co-era healthcare approach, where collaboration and collective effort drive innovation,...Read more
2023 30 Aug
In a world where AI and robotics are reshaping the landscape of healthcare, the need for close collaboration and sharing among healthcare providers, medical device companies, tech startups, patients, payers, and regulatory bodies becomes paramount. By adopting a co-era healthcare approach, where collaboration and collective effort drive innovation,...Read more
2023 22 Aug
The entire value chain of medical care, product development and manufacture in focus at one location The medical technology market is in worldwide motion and the signs ahead of MEDICA 2023 and COMPAMED 2023 in Düsseldorf as the internationally leading trade fairs for the medical technology industry and related suppliers (trade fair 13–16 November)...Read more
2023 02 Aug
A new study published in The Lancet Oncology showed that AI is safe to use in breast cancer detection and could assist doctors with finding cancer more effectively. The new research is believed to be the first-ever randomized control trial comparing AI-assisted breast cancer detection with detection solely performed by experienced humans....Read more
2023 01 Aug
Computer-based technologies, including artificial intelligence (AI) applications like ChatGPT and DALL-E, are being increasingly used and can mimic human capabilities, even passing medical board examinations. Retrospective studies have shown that machine learning (ML) applications are especially valuable in the ICU due to their diagnostic and prognostic...Read more
2023 01 Aug
Computer-based technologies, including artificial intelligence (AI) applications like ChatGPT and DALL-E, are being increasingly used and can mimic human capabilities, even passing medical board examinations. Retrospective studies have shown that machine learning (ML) applications are especially valuable in the ICU due to their diagnostic and prognostic...Read more
2023 11 Jul
Artificial intelligence (AI) can revolutionise medical publishing. The advantages of AI can be observed in three key areas: content, peer review, and post-publication. AI can enhance each process's speed, accuracy, and efficiency. AI can streamline content creation. It can assist researchers in analysing vast amounts of data, extracting relevant...Read more
2023 11 Jul
Artificial intelligence (AI) can revolutionise medical publishing. The advantages of AI can be observed in three key areas: content, peer review, and post-publication. AI can enhance each process's speed, accuracy, and efficiency. AI can streamline content creation. It can assist researchers in analysing vast amounts of data, extracting relevant...Read more
2023 14 Jun
Experts discuss cutting-edge case studies in AI, dig deeper into the ethical and legal issues, and engage in discussing methods to maximise AI’s potential in the health ecosystem. Where are you getting your quality data and how do you track the records? It is important to provide the need to identify individuals in order to detect patterns...Read more
2023 28 Mar
LumineticsCore™ (Formerly IDx-DR)’s New Look Adds a Human Touch to Technology Digital Diagnostics – a leading AI diagnostics company on a mission to transform global healthcare – has rebranded its flagship product, the AI diagnostic system formerly known as IDx-DR, to LumineticsCore™. The name references the words “illuminate”, which...Read more
2023 28 Mar
IMO Solutions published a recent survey uncovering the most pressing needs faced by U.S. provider organisations and the bold changes they are planning to improve patient care. More than 300 provider leaders were involved in the survey who are responsible for implementing and purchasing technology at healthcare provider organisations. ...Read more
2023 15 Mar
In early 2023, a new research project establishing an Open Consortium for Decentralized Medical Artificial Intelligence (ODELIA) began. It is funded by the EU with the aim of using Swarm Learning (SL) to transform artificial intelligence in healthcare. Over the next several years, partners will work together to train AI models without...Read more
2023 01 Mar
AI is transforming the world and it already has become a large part of the everyday activities in radiology. However, it is critical that we are aware that the positive changes it brings in healthcare holds possibility to have negative impacts in society. Ever-rising amounts of data has given rise to the field of AI ethics, and at its core is sustainable...Read more
2023 01 Mar
AI is transforming the world and it already has become a large part of the everyday activities in radiology. However, it is critical that we are aware that the positive changes it brings in healthcare holds possibility to have negative impacts in society. Ever-rising amounts of data has given rise to the field of AI ethics, and at its core is sustainable...Read more
2023 01 Mar
AI is transforming the world and it already has become a large part of the everyday activities in radiology. However, it is critical that we are aware that the positive changes it brings in healthcare holds possibility to have negative impacts in society. Ever-rising amounts of data has given rise to the field of AI ethics, and at its core is sustainable...Read more
2023 11 Jan
A recent study tested whether artificial intelligence could pass the rapid reporting element of the Fellowship of the Royal College of Radiologists exam, which radiologists in the UK are required to pass before the completion of their training. The aim of the study was to test whether an AI candidate could pass the reporting exam and outperform...Read more
2022 22 Dec
A team of researchers from the university of Jyväskylä and the Central Finland Health Care District developed an AI based neural network, that can detect early knee osteoarthritis from x-ray images. This new method offers the potential to improve early detection, saving the patient from unnecessary examinations and treatments. Typically,...Read more
2022 04 Oct
A group of biomedical informaticists and computer scientists, from the universities of Harvard and Stanford, developed a new machine learning system that can detect diseases on chest X-rays, and requires no human annotations to learn. AI models need to be trained using relevant imaging data in order to learn to detect disease presented in medical...Read more
2022 29 Aug
Late-breaking research presented at the ESC Congress shows that an artificial intelligence (AI) algorithm accurately estimates the risk of heart disease caused by cumulative exposure to cholesterol and blood pressure levels and the benefits of lowering both, thus providing the information needed to make individual treatment decisions. Atherosclerotic...Read more
2022 19 Jul
A study was conducted to assess the diagnostic performance of an AI algorithm for detecting incidental pulmonary embolus (iPE) on conventional contrast-enhanced chest CT examinations. Results show that the AI tool had a high negative predictive value (NPV) and moderate positive predictive value (PPV) for detection and was able to find some iPEs that...Read more
2022 08 Jul
There is no doubt that Artificial Intelligence (AI) can transform how we deliver care. It can increase clinician productivity and improve efficiency and enable existing healthcare systems to provide care to more people than before. AI can also improve data analysis and utilisation, facilitate better decision-making and promote early diagnosis and...Read more
2022 08 Jul
Dr Anjum Ahmed is the Chief Medical Officer at Agfa HealthCare. He has played an essential role in steering the company’s innovation strategy for Enterprise Imaging and Artificial Intelligence. Dr Ahmed has over 23 years of global experience in solutions innovation, governance, change management and digital transformation. Before joining Agfa HealthCare,...Read more
2022 08 Jul
The purpose of this paper is to provide a growth path to AI development. It is based on principles learned from launching CT, MRI, Neuro Vascular, and PACS. Key Points Create a model (The Knowledge Model) that will build with additional concepts as they develop, resulting in synergistic thinking (Causal Knowledge...Read more