Search Tag: AI in Healthcare
2025 18 Nov
Cancers of the central nervous system (CNS) remain difficult to treat and insufficiently understood, with high morbidity and mortality. Artificial intelligence is moving into the neuro-oncological pathway, spanning prevention, diagnosis, treatment, prognostication and rehabilitation. Reported uses include image analysis, molecular characterisation,...Read more
2025 18 Nov
Cancers of the central nervous system (CNS) remain difficult to treat and insufficiently understood, with high morbidity and mortality. Artificial intelligence is moving into the neuro-oncological pathway, spanning prevention, diagnosis, treatment, prognostication and rehabilitation. Reported uses include image analysis, molecular characterisation,...Read more
2025 18 Nov
Cancers of the central nervous system (CNS) remain difficult to treat and insufficiently understood, with high morbidity and mortality. Artificial intelligence is moving into the neuro-oncological pathway, spanning prevention, diagnosis, treatment, prognostication and rehabilitation. Reported uses include image analysis, molecular characterisation,...Read more
2025 18 Nov
Artificial intelligence is reshaping healthcare by accelerating diagnostics and streamlining operations, yet its rapid adoption has expanded exposure to cyber threats. Patient data has long been a target for attackers and artificial intelligence depends on large volumes of such data to function and improve. Small manipulations of inputs can trigger...Read more
2025 18 Nov
Artificial intelligence is reshaping healthcare by accelerating diagnostics and streamlining operations, yet its rapid adoption has expanded exposure to cyber threats. Patient data has long been a target for attackers and artificial intelligence depends on large volumes of such data to function and improve. Small manipulations of inputs can trigger...Read more
2025 18 Nov
Artificial intelligence is reshaping healthcare by accelerating diagnostics and streamlining operations, yet its rapid adoption has expanded exposure to cyber threats. Patient data has long been a target for attackers and artificial intelligence depends on large volumes of such data to function and improve. Small manipulations of inputs can trigger...Read more
2025 18 Nov
Unnecessary treatment raises risks and costs without benefit. Evidence from a controlled decision task with practising clinicians shows that decision support from artificial intelligence reduces unnecessary prescribing and improves accuracy across common payment environments. Clinicians worked through realistic consultations with full histories...Read more
2025 17 Nov
Pharmaceutical launches frequently miss expectations or revenue targets despite progress in research and development. Persistent gaps in data integration, organisational alignment and trust in emerging technologies undermine execution from planning through commercial roll-out. An incomplete understanding of real-world market dynamics compounds...Read more
2025 07 Nov
Healthcare teams face growing administrative pressure and shrinking time for patient interaction. Conversational agents powered by generative artificial intelligence are being positioned to help bridge this gap by collecting histories, answering questions, supporting documentation and assisting decision-making through natural, context-aware dialogue....Read more
2025 07 Nov
Healthcare teams face growing administrative pressure and shrinking time for patient interaction. Conversational agents powered by generative artificial intelligence are being positioned to help bridge this gap by collecting histories, answering questions, supporting documentation and assisting decision-making through natural, context-aware dialogue....Read more
2025 07 Nov
Healthcare teams face growing administrative pressure and shrinking time for patient interaction. Conversational agents powered by generative artificial intelligence are being positioned to help bridge this gap by collecting histories, answering questions, supporting documentation and assisting decision-making through natural, context-aware dialogue....Read more
2025 07 Nov
Healthcare teams face growing administrative pressure and shrinking time for patient interaction. Conversational agents powered by generative artificial intelligence are being positioned to help bridge this gap by collecting histories, answering questions, supporting documentation and assisting decision-making through natural, context-aware dialogue....Read more
2025 04 Nov
Behavioural health services face sustained pressure from administrative burden, variable assessments and rising burnout. Interest in artificial intelligence has grown as providers look for tools that support documentation, surface risk and promote consistency without displacing clinical judgement. At the same time, concerns about unguided digital...Read more
2025 28 Oct
Lung cancer remains the leading cause of cancer-related deaths worldwide, yet advances in computed tomography (CT) screening and artificial intelligence are reshaping prospects for earlier detection and improved outcomes. Evidence from large screening programmes and long-term follow-up cohorts indicates that identifying disease at an early stage...Read more
2025 28 Oct
Lung cancer remains the leading cause of cancer-related deaths worldwide, yet advances in computed tomography (CT) screening and artificial intelligence are reshaping prospects for earlier detection and improved outcomes. Evidence from large screening programmes and long-term follow-up cohorts indicates that identifying disease at an early stage...Read more
2025 28 Oct
Sepsis remains the leading cause of death in burn care, yet early recognition is complicated by persistent hyperinflammatory responses and altered baseline physiology following major injury. A streamlined machine learning approach has been developed to identify patients at risk of sepsis using information available at admission to the intensive...Read more
2025 28 Oct
Sepsis remains the leading cause of death in burn care, yet early recognition is complicated by persistent hyperinflammatory responses and altered baseline physiology following major injury. A streamlined machine learning approach has been developed to identify patients at risk of sepsis using information available at admission to the intensive...Read more
2025 28 Oct
Sepsis remains the leading cause of death in burn care, yet early recognition is complicated by persistent hyperinflammatory responses and altered baseline physiology following major injury. A streamlined machine learning approach has been developed to identify patients at risk of sepsis using information available at admission to the intensive...Read more
2025 28 Oct
Sepsis remains the leading cause of death in burn care, yet early recognition is complicated by persistent hyperinflammatory responses and altered baseline physiology following major injury. A streamlined machine learning approach has been developed to identify patients at risk of sepsis using information available at admission to the intensive...Read more
2025 28 Oct
Sepsis remains the leading cause of death in burn care, yet early recognition is complicated by persistent hyperinflammatory responses and altered baseline physiology following major injury. A streamlined machine learning approach has been developed to identify patients at risk of sepsis using information available at admission to the intensive...Read more
2025 24 Oct
Healthcare organisations face sustained pressure from clinician burnout, staffing constraints and constrained budgets, while legacy systems slow the pace of modernisation. Administrative tasks continue to absorb time that could be spent with patients, contributing to stress and limiting capacity across services. Artificial intelligence offers...Read more
2025 24 Oct
Healthcare organisations face sustained pressure from clinician burnout, staffing constraints and constrained budgets, while legacy systems slow the pace of modernisation. Administrative tasks continue to absorb time that could be spent with patients, contributing to stress and limiting capacity across services. Artificial intelligence offers...Read more
2025 23 Oct
Hospitals frequently encounter delays when patients remain in beds after they are clinically ready to leave. Each additional hour can slow admissions from the emergency department (ED), reduce surgical throughput and increase pressure on staff, with implications for safety and quality. Longer-than-necessary stays are linked to complications, hospital-acquired...Read more
2025 23 Oct
Hospitals frequently encounter delays when patients remain in beds after they are clinically ready to leave. Each additional hour can slow admissions from the emergency department (ED), reduce surgical throughput and increase pressure on staff, with implications for safety and quality. Longer-than-necessary stays are linked to complications, hospital-acquired...Read more
2025 23 Oct
Rapid advances in large language models (LLMs) are reshaping conversational decision support in healthcare. An evaluation of eight contemporary systems on concise, single-turn clinical vignettes assessed diagnostic and triage performance with and without structured prompts. The work compared overall accuracy, examined safety-oriented behaviours...Read more
2025 23 Oct
Rapid advances in large language models (LLMs) are reshaping conversational decision support in healthcare. An evaluation of eight contemporary systems on concise, single-turn clinical vignettes assessed diagnostic and triage performance with and without structured prompts. The work compared overall accuracy, examined safety-oriented behaviours...Read more
2025 23 Oct
Rapid advances in large language models (LLMs) are reshaping conversational decision support in healthcare. An evaluation of eight contemporary systems on concise, single-turn clinical vignettes assessed diagnostic and triage performance with and without structured prompts. The work compared overall accuracy, examined safety-oriented behaviours...Read more
2025 21 Oct
Clinical decision support powered by large language models (LLMs) is moving from experimentation to evaluation, bringing both opportunity and risk into focus. Work in gastroenterology demonstrates how sociodemographic details embedded in patient presentations can steer LLM recommendations in different directions even when clinical symptoms are...Read more
2025 21 Oct
Clinical decision support powered by large language models (LLMs) is moving from experimentation to evaluation, bringing both opportunity and risk into focus. Work in gastroenterology demonstrates how sociodemographic details embedded in patient presentations can steer LLM recommendations in different directions even when clinical symptoms are...Read more
2025 21 Oct
Large language models (LLMs) are increasingly explored in mental health where speech and narrative often mirror symptom burden. A German BERT-based model was fine-tuned to estimate item-level scores on the Montgomery-Åsberg Depression Rating Scale (MADRS) using language alone from structured interviews. The approach predicted continuous scores...Read more