Health & Care

[ad_1] Abstract Objectives To explore the views of intensive care professionals in high-income countries (HICs) and lower-to-middle-income countries (LMICs) regarding the use and implementation of artificial intelligence (AI) technologies in intensive care units (ICUs). Methods Individual semi-structured qualitative interviews were conducted between December 2021 and August 2022 with 59 intensive care professionals from 24 countries. […]

[ad_1] Abstract Objectives To explore the views of intensive care professionals in high-income countries (HICs) and lower-to-middle-income countries (LMICs) regarding the use and implementation of artificial intelligence (AI) technologies in intensive care units (ICUs). Methods Individual semi-structured qualitative interviews were conducted between December 2021 and August 2022 with 59 intensive care professionals from 24 countries.

[ad_1] At 6am, when much of Chennai experiences its last few REM cycles, a handful of rowers at the Madras Boat Club (MBC) can be seen dragging their boats out of the dock and entering the Adyar river. In twos, fours, eights and sometimes the rare single scull, they splice through the ripples of the

[ad_1] Introduction Biomarkers are defined as a set of characteristics that are objectively measured and used as indicators of normal biological processes, pathogenic processes or biological responses that appear due to exposure or therapeutic interventions.1 This comprises physiological, molecular, histologic and radiographic measurements.2 The US Food and Drug Administration (FDA) subclassifies susceptible/risk, diagnostic, monitoring, prognostic,

[ad_1] Discussion This study conducted a comprehensive and robust analysis to investigate the influence of the pandemic of COVID-19 on the medical services utilisation of middle-aged and older adults in multiple countries. The results indicated that the pandemic shock has significantly increased the risk of unmet medical needs of middle-aged and older adults, regardless of

[ad_1] Introduction Biomarkers are defined as a set of characteristics that are objectively measured and used as indicators of normal biological processes, pathogenic processes or biological responses that appear due to exposure or therapeutic interventions.1 This comprises physiological, molecular, histologic and radiographic measurements.2 The US Food and Drug Administration (FDA) subclassifies susceptible/risk, diagnostic, monitoring, prognostic,

[ad_1] Discussion This study conducted a comprehensive and robust analysis to investigate the influence of the pandemic of COVID-19 on the medical services utilisation of middle-aged and older adults in multiple countries. The results indicated that the pandemic shock has significantly increased the risk of unmet medical needs of middle-aged and older adults, regardless of

[ad_1] Abstract Objectives The objective of this study was to explore the feature of generative artificial intelligence (AI) in asking sexual health among cancer survivors, which are often challenging for patients to discuss. Methods We employed the Generative Pre-trained Transformer-3.5 (GPT) as the generative AI platform and used DocsBot for citation retrieval (June 2023). A

[ad_1] Collaborators: Dimitri Raptis (Liver Transplant and HPB Surgery, Organ Transplant Center of Excellence, King Faisal Specialist Hospital and Research Center, Riyadh, Saudi Arabia); Sebastian Staubli (Department of HPB Surgery and Liver Transplant, Royal Free Hospital, London, UK); Michael Spiro (Department of Anaesthesia and Intensive Care, Royal Free Hospital, London, UK); Saleh Al Qahtani, (H.E.

[ad_1] Results Across the three workshops, 51 clinicians from multiple professions and three consumer representatives participated in the codesign process (table 1). After the initial contextual inquiry, the project scope was limited to where health technology can support perioperative care occurring between the initial decision for surgery and admission to the hospital. Improving clinical decisions

[ad_1] Discussion We conducted a bibliometric analysis of the intersection of ophthalmology and AI between January 2018 and August 2021. Many aspects of the dataset were analysed in order to gain both quantitative and qualitative insights. In particular, investigation into countries of publication and their correlation (or lack thereof) with literature quality was performed, and

[ad_1] Discussion We conducted a bibliometric analysis of the intersection of ophthalmology and AI between January 2018 and August 2021. Many aspects of the dataset were analysed in order to gain both quantitative and qualitative insights. In particular, investigation into countries of publication and their correlation (or lack thereof) with literature quality was performed, and

[ad_1] In any research, regardless of whether it is conducted by an individual researcher, clinician or collaborative research team, it is imperative to determine the nature of the consent obtained from a patient for the secondary use of their data. This assessment should consider the risks and the potential for psychological, social, economic and legal

[ad_1] Puran Da Dhaba is located on the 9th floor of The Pride Hotel | Photo Credit: Special Arrangement Dinner begins with chicken shorba, recommended by executive chef Sheik Abdul Rab. It is soothing, served at the perfect temperature for a on a windy February evening. We also try an assortment of tikkas, of which

[ad_1] Results The individual responses of all 21 sessions of the seven LLMs are summarised in figure 1. We noticed marked differences in the qualitative performance summary between different LLMs and to a lesser extent also between different sessions of individual LLMs. The response consistency ranged from 53% to 85%. LLMs with low numbers of

[ad_1] Introduction Breast cancer is the first and most common type of cancer in women.1 2 Anatomically, the breast consists of healthy blood vessels, connective tissue, ductal lobules and lymph nodes.3 Breast cancer is a problem with abnormal growth of the breast cells. By 2040, the burden of breast cancer is predicted to increase to

[ad_1] Results The individual responses of all 21 sessions of the seven LLMs are summarised in figure 1. We noticed marked differences in the qualitative performance summary between different LLMs and to a lesser extent also between different sessions of individual LLMs. The response consistency ranged from 53% to 85%. LLMs with low numbers of

[ad_1] Introduction Breast cancer is the first and most common type of cancer in women.1 2 Anatomically, the breast consists of healthy blood vessels, connective tissue, ductal lobules and lymph nodes.3 Breast cancer is a problem with abnormal growth of the breast cells. By 2040, the burden of breast cancer is predicted to increase to

[ad_1] In the bustling streets of Mumbai’s Colaba with numerous restaurants to choose from, the recently-launched Araku stands out for its dedication to regenerative agriculture produce. Located on the ground floor of Sunny House, built by the Nawab of Surat in 1897, Araku is spread across 2,800 square feet, across two levels, and seats 55 diners.

[ad_1] Abstract Objective Data-driven innovations are essential in strengthening disease control. We developed a low-cost, open-source system for robust epidemiological intelligence in response to the COVID-19 crisis, prioritising scalability, reproducibility and dynamic reporting. Methods A five-tiered workflow of data acquisition; processing; databasing, sharing, version control; visualisation; and monitoring was used. COVID-19 data were initially collated

[ad_1] Abstract Objective Data-driven innovations are essential in strengthening disease control. We developed a low-cost, open-source system for robust epidemiological intelligence in response to the COVID-19 crisis, prioritising scalability, reproducibility and dynamic reporting. Methods A five-tiered workflow of data acquisition; processing; databasing, sharing, version control; visualisation; and monitoring was used. COVID-19 data were initially collated

[ad_1] Methods Study design We conducted a cluster randomised controlled trial designed to assess the effectiveness and safety of an EHR-based intervention to encourage use of NSAIDs for adult inpatients, with the ultimate goal of improving NSAID use without adding ineffective EHR burden for clinicians. Clinicians were the unit of randomisation, and outcomes were compared

[ad_1] Methods Study design We conducted a cluster randomised controlled trial designed to assess the effectiveness and safety of an EHR-based intervention to encourage use of NSAIDs for adult inpatients, with the ultimate goal of improving NSAID use without adding ineffective EHR burden for clinicians. Clinicians were the unit of randomisation, and outcomes were compared

[ad_1] Healthcare is a unique and complex mix of expert practitioners, small businesses, major providers, professional and semiprofessional contributors. It is highly regulated and procedural, but also an area where ethical issues are regularly tested. It encompasses cutting-edge research and pioneering techniques, as well as large scale applications of well proven treatments and procedures. It

[ad_1] Core concepts Explainability of AI has become one of the most debated topics, with implications that extend far beyond technical aspects. AI already outperforms humans in several analytics.15 While neural networks and associated deep learning approaches are popular due to their powerful performance, they typically act as ‘black boxes’, not providing users with insights

[ad_1] Discussion This study explored various EMR data-based case definitions for diabetes, uncovering algorithms with excellent performance. We used chart review labels as our gold standard. While the validated administrative data-based ICD-code algorithm demonstrated strong performance, the findings support our hypothesis that harnessing free-text notes can yield comparable or superior results to existing standard methods.

[ad_1] People-centred integrated care, with an emphasis on ensuring healthcare services are well coordinated around people’s needs,1 is regarded as a global strategy towards universal health coverage.2 Underutilisation of information technology and lack of interoperability are identified as the main organisational barriers to advancing integrated care.3 Thus, the incorporation of digital health technologies in healthcare

[ad_1] Clinical cognition is central to a clinician’s daily tasks, such as making diagnostic and therapeutic decisions. For example, doctors rely on their memory to recall relevant facts, concepts and experiences that can help them diagnose and treat their patients. Memory is needed for clinicians to accumulate and update their evidence-based knowledge from prior cases.1

[ad_1] Discussion The results demonstrate that ChatGPT achieved an excellent mark in the examination, surpassing the pass mark by a significant margin. This indicates that ChatGPT has the potential to accurately answer medical-related MCQs and perform well in different question types, including basic science evaluation, diagnosis and decision-making. The superior performance of ChatGPT in decision-making

[ad_1] In the development and evaluation of medical artificial intelligence (AI) programmes, there is a tendency to focus the work on the system’s decision-making performance. This is natural, since the typical goal is to develop software that can assist physicians or other clinicians with decision tasks that they encounter when caring for patients. Yet it

[ad_1] Discussion The results demonstrate that ChatGPT achieved an excellent mark in the examination, surpassing the pass mark by a significant margin. This indicates that ChatGPT has the potential to accurately answer medical-related MCQs and perform well in different question types, including basic science evaluation, diagnosis and decision-making. The superior performance of ChatGPT in decision-making

[ad_1] As there are so many food outlets at night, Kora Karnival focuses more on entertainment. It has battery-operated cars and mini-trains, besides a space for skating. A cricket pitch and football turf are coming up. | Photo Credit: B. Velankanni Raj For night crawlers looking for good food and games in Chennai, a new

[ad_1] Abstract Background Health information technology (HIT) is increasingly used to enable health service/system transformation. Most HIT implementations fail to some degree; very few demonstrate sustainable success. No guidelines exist for health service leaders to leverage factors associated with success. The purpose of this paper is to present an evidence-based guideline for leaders to test

[ad_1] Abstract Objectives Digital health inequality, observed as differential utilisation of digital tools between population groups, has not previously been quantified in the National Health Service (NHS). Deployment of universal digital health interventions, including a national smartphone app and online primary care services, allows measurement of digital inequality across a nation. We aimed to measure

[ad_1] On an average, 1,000 people visit Food Mall on weekdays. At weekends, the number exceeds 4,000. Over 10 brands operate at the place developed on a 2.5-acre property. | Photo Credit: R. Ravindran It was around 12.15 a.m. Two cabs with employees working in a nearby tech company stopped at Food Mall, a food

[ad_1] Abstract Objectives To overcome the barriers of interoperability by sharing simulated patient data from different electronic health records systems and presenting them in an intuitive timeline of events. Methods The ‘Patient Story’ software comprising database and blockchain, PS Timeline Windows interface, PS Timeline Web interface and network relays on Azure cloud was customised for

[ad_1] Over 200 health journals call on the United Nations (UN), political leaders and health professionals to recognise that climate change and biodiversity loss are one indivisible crisis and must be tackled together to preserve health and avoid catastrophe. This overall environmental crisis is now so severe as to be a global health emergency. The

[ad_1] Abstract In 2020, we published an editorial about the massive disruption of health and care services caused by the COVID-19 pandemic and the rapid changes in digital service delivery, artificial intelligence and data sharing that were taking place at the time. Now, 3 years later, we describe how these developments have progressed since, reflect on

[ad_1] Modern health systems must embrace digital technologies to address challenges like ongoing shortages in the global health and care workforce, significant diagnostic backlogs and the requirements of diverse and ageing populations. The COVID-19 pandemic and the exceptional advances in artificial intelligence (AI) and machine learning (ML) have accelerated the drive towards digitalisation of health

[ad_1] Abstract In 2020, we published an editorial about the massive disruption of health and care services caused by the COVID-19 pandemic and the rapid changes in digital service delivery, artificial intelligence and data sharing that were taking place at the time. Now, 3 years later, we describe how these developments have progressed since, reflect on

[ad_1] Abstract Introduction Amid clinicians’ challenges in staying updated with medical research, artificial intelligence (AI) tools like the large language model (LLM) ChatGPT could automate appraisal of research quality, saving time and reducing bias. This study compares the proficiency of ChatGPT3 against human evaluation in scoring abstracts to determine its potential as a tool for

[ad_1] Results Data about the keywords associated with loneliness were collected during October 2022 through the developer API of Twitter. The purpose of this paper is not to find the number of people with loneliness in a particular area or country. That kind of study would require collecting billions of tweets. Rather the purpose in

[ad_1] Results A total of 25 men and 35 women were included, with a total time of procedure average of 109.62 min. Regarding the EEG analysis and CBI, the results show a high Pearson correlation between the CBI and the indices of the entropy module. Nevertheless, a high Pearson correlation does not necessarily imply that the behaviour

[ad_1] System overview SLE-T2T web-based system was developed. The processing of the system takes place on the user’s computer, and, since no data is stored, the architecture of this decision support system is essentially composed of: (1) an input scheme consisting in the diverse set of index and scores existing for the measurement of SLE

[ad_1] Abstract Objective The study aimed to measure the validity of International Classification of Diseases, 10th Edition (ICD-10) code F44.5 for functional seizure disorder (FSD) in the Veterans Affairs Connecticut Healthcare System electronic health record (VA EHR). Methods The study used an informatics search tool, a natural language processing algorithm and a chart review to

[ad_1] Abstract Objective The study aimed to measure the validity of International Classification of Diseases, 10th Edition (ICD-10) code F44.5 for functional seizure disorder (FSD) in the Veterans Affairs Connecticut Healthcare System electronic health record (VA EHR). Methods The study used an informatics search tool, a natural language processing algorithm and a chart review to

[ad_1] Discussion From a cohort of pre-COVID-19 pandemic patients on mechanical ventilation, we developed and validated an LSTM model to identify patients at risk for ARDS or in-hospital mortality. This model was successfully integrated into EHR and identified patients at risk for ARDS or in-hospital mortality in all adults hospitalised with and without COVID-19 infection,

[ad_1] To organise a successful event, several important points should be well thought through before the event (figure 1). The checklist provided below should help any organiser in this process. We further elaborate on some of these key points reflecting on our more mature experience. Datathon check list Venue: Physical/virtual/hybrid, dates, location. Logistics: catering, strong

[ad_1] To organise a successful event, several important points should be well thought through before the event (figure 1). The checklist provided below should help any organiser in this process. We further elaborate on some of these key points reflecting on our more mature experience. Datathon check list Venue: Physical/virtual/hybrid, dates, location. Logistics: catering, strong

[ad_1] I read the article by Haemmerli et al on the performance of ChatGPT-3.5 in generating treatment recommendations for central nervous system (CNS) tumours, which were then evaluated by tumour board (TB) experts. While the study did illuminate promising aspects of the Artificial Intelligence (AI) model, the design of the prompt used to interact with

[ad_1] The need for an online glaucoma education course Glaucoma is the most common cause of irreversible visual impairment and its prevalence is on the rise, with the number of people affected estimated to be over 100 million by 2040.1 It is a chronic condition characterised by progressive damage to the optic nerve with characteristic visual

[ad_1] Discussion According to the MoH,26 it is becoming increasingly evident that many developing countries, including Ghana, would struggle to meet all the global targets required to improve their health sector. As a result, a national e-health system, the LHIMS, was necessary for the health sector to improve service efficiency and function as the country’s

[ad_1] Abstract Objectives Digital adaptation kits (DAKs) distill WHO guidelines for digital use by representing them as workflows, data dictionaries and decision support tables. This paper aims to highlight key lessons learnt in coding data elements of the antenatal care (ANC) and family planning DAKs to standardised classifications and terminologies (CATs). Methods We encoded data

[ad_1] Abstract Objectives Digital adaptation kits (DAKs) distill WHO guidelines for digital use by representing them as workflows, data dictionaries and decision support tables. This paper aims to highlight key lessons learnt in coding data elements of the antenatal care (ANC) and family planning DAKs to standardised classifications and terminologies (CATs). Methods We encoded data

[ad_1] Abstract Background Predictive models have been used in clinical care for decades. They can determine the risk of a patient developing a particular condition or complication and inform the shared decision-making process. Developing artificial intelligence (AI) predictive models for use in clinical practice is challenging; even if they have good predictive performance, this does

[ad_1] Abstract Background Predictive models have been used in clinical care for decades. They can determine the risk of a patient developing a particular condition or complication and inform the shared decision-making process. Developing artificial intelligence (AI) predictive models for use in clinical practice is challenging; even if they have good predictive performance, this does

[ad_1] Introduction COVID-19, caused by the SARS-CoV-2 virus, was first identified in China in December 2019 and later became a pandemic.1 2 When this manuscript was finalised (12 June 2022), globally, the total number of infected cases had reached 540 318 million and over 6.331 million people had died.3 Telehealth refers to the delivery of healthcare particularly

[ad_1] Introduction COVID-19, caused by the SARS-CoV-2 virus, was first identified in China in December 2019 and later became a pandemic.1 2 When this manuscript was finalised (12 June 2022), globally, the total number of infected cases had reached 540 318 million and over 6.331 million people had died.3 Telehealth refers to the delivery of healthcare particularly

[ad_1] Results Table 1 provides sample characteristics of the 16 SVIs and COVID-19 cases and COVID-19 rates per 100 000 population after 30 days of the first COVID-19-positive cases in all counties in the 11 states of the US South (1086 counties). On average, 85.3 COVID-19 cases were reported after 30 days of the first

[ad_1] Results Table 1 provides sample characteristics of the 16 SVIs and COVID-19 cases and COVID-19 rates per 100 000 population after 30 days of the first COVID-19-positive cases in all counties in the 11 states of the US South (1086 counties). On average, 85.3 COVID-19 cases were reported after 30 days of the first

[ad_1] Discussion Here, we aimed to evaluate the adherence of RCTs investigating the use of AI within ophthalmology to the guidelines set by CONSORT-AI checklist for reporting standards for RCTs. Our study found a total of five RCTs that evaluated AI applications in ophthalmology. These articles looked at the utility of AI in diabetic retinopathy

[ad_1] Discussion Delays in the OR can be costly to hospital systems, and one area where known delays occur is during room turnover. One study describes each minute of time running an OR in California hospitals costing approximately US$37 for inpatient settings and US$36 for ambulatory settings.15 Another study describes a methodology for surgical centres

[ad_1] Discussion Delays in the OR can be costly to hospital systems, and one area where known delays occur is during room turnover. One study describes each minute of time running an OR in California hospitals costing approximately US$37 for inpatient settings and US$36 for ambulatory settings.15 Another study describes a methodology for surgical centres