-
Mashup Score: 2
Virtual consultations hold the potential to transform patient care; however, their capacity to fully replace face-to-face interactions remains uncertain. ten Haaft and colleagues present findings from a randomised controlled trial, VIDEOGO, that compared face-to-face consultations with online video consultations for individuals who required surgical discussions with their doctors before major abdominal procedures. Their findings suggest that both patient and surgeon satisfaction were similar between video consultations and in-person meetings.
Source: www.thelancet.comCategories: General Medicine News, Future of MedicineTweet
-
Mashup Score: 6
The use of online video consultation during surgical consultation for major abdominal surgery was non-inferior to face-to-face consultation in terms of patient satisfaction and did not substantially affect information recall. These findings suggest that online video consultation can be implemented confidently in surgical outpatient clinics.
Source: www.thelancet.comCategories: General Medicine News, Future of MedicineTweet
-
Mashup Score: 28Medical digital twins: enabling precision medicine and medical artificial intelligence - 1 month(s) ago
The notion of medical digital twins is gaining popularity both within the scientific community and among the general public; however, much of the recent enthusiasm has occurred in the absence of a consensus on their fundamental make-up. Digital twins originate in the field of engineering, in which a constantly updating virtual copy enables analysis, simulation, and prediction of a real-world object or process. In this Health Policy paper, we evaluate this concept in the context of medicine and outline five key components of the medical digital twin: the patient, data connection, patient-in-silico, interface, and twin synchronisation.
Source: www.thelancet.comCategories: General Medicine News, Future of MedicineTweet
-
Mashup Score: 66Importance of sample size on the quality and utility of AI-based prediction models for healthcare - 1 month(s) ago
Rigorous study design and analytical standards are required to generate reliable findings in healthcare from artificial intelligence (AI) research. One crucial but often overlooked aspect is the determination of appropriate sample sizes for studies developing AI-based prediction models for individual diagnosis or prognosis. Specifically, the number of participants and outcome events required in datasets for model training and evaluation remains inadequately addressed. Most AI studies do not provide a rationale for their chosen sample sizes and frequently rely on datasets that are inadequate for training or evaluating a clinical prediction model.
Source: www.thelancet.comCategories: General Medicine News, Future of MedicineTweet
-
Mashup Score: 1Refined selection of individuals for preventive cardiovascular disease treatment with a transformer-based risk model - 1 month(s) ago
TRisk enabled a more targeted selection of individuals at risk of cardiovascular disease in both the primary prevention population and cohorts with diabetes, compared with benchmark approaches. Incorporation of TRisk into routine care could potentially reduce the number of treatment-eligible patients by approximately one-third while preventing at least as many events as with currently adopted approaches.
Source: www.thelancet.comCategories: General Medicine News, Future of MedicineTweet
-
Mashup Score: 46Importance of sample size on the quality and utility of AI-based prediction models for healthcare - 1 month(s) ago
Rigorous study design and analytical standards are required to generate reliable findings in healthcare from artificial intelligence (AI) research. One crucial but often overlooked aspect is the determination of appropriate sample sizes for studies developing AI-based prediction models for individual diagnosis or prognosis. Specifically, the number of participants and outcome events required in datasets for model training and evaluation remains inadequately addressed. Most AI studies do not provide a rationale for their chosen sample sizes and frequently rely on datasets that are inadequate for training or evaluating a clinical prediction model.
Source: www.thelancet.comCategories: General Medicine News, Future of MedicineTweet
-
Mashup Score: 6
Read the current issue of The Lancet Microbe, providing a destination for the best microbiology-focused clinical research
Source: www.thelancet.comCategories: General Medicine News, Future of MedicineTweet
-
Mashup Score: 0Pathways to publication in oncology - 2 month(s) ago
This Lancet Webinar is now available to view on-demand. Access is free with registration. Are you thinking about submitting your oncology research to The Lancet Group? Join us for this Lancet Webinar where we explore the different pathways to publication for oncology content, whether you choose to submit your paper to The Lancet or one of the Lancet specialty, Regional Health, or Discovery Science journals. Our expert editorial team will guide you through the process of finding the best home for your
Source: www.bigmarker.comCategories: General Medicine News, Future of MedicineTweet
-
Mashup Score: 1Overlooked and under-reported: the impact of cyberattacks on primary care in the UK National Health Service - 2 month(s) ago
Rapid digitisation and interconnectivity of the UK National Health Service (NHS) among hospital trusts, general practices, and patients help to streamline patient care across sectors.1 However, this increased connectivity also raises the NHS’s vulnerability to cyberattacks. Cyber threats targeting health-care systems are increasing on a global scale,2 but cybersecurity in health care has not advanced as fast as in other critical sectors such as energy, finance, and transportation. As bad actors become more sophisticated in perpetrating further attacks, discussions regarding the NHS’s resilience to cyberattacks have intensified.
Source: www.thelancet.comCategories: General Medicine News, Future of MedicineTweet
-
Mashup Score: 0When data disappear: public health pays as US policy strays - 2 month(s) ago
Presidential actions on Jan 20, 2025, by President Donald Trump, including executive orders, have delayed access to or led to the removal of crucial public health data sources in the USA. The continuous collection and maintenance of health data support public health, safety, and security associated with diseases such as seasonal influenza. To show how public health data surveillance enhances public health practice, we analysed data from seven US Government-maintained sources associated with seasonal influenza.
Source: www.thelancet.comCategories: General Medicine News, Future of MedicineTweet
New Comment from Lars Henrik Jensen - Video in the clinic: advancing care for patients, professionals, and the planet. https://t.co/JPrWfr6xqw