Date and location
Friday 22 January 2021 via online virtual meeting
In attendance
Committee
Mr Dan Bamford
Mr Tahir Bockarie
Mrs Sharon De Sa
Miss Jo Denson
Miss Priya Ramanah
Miss Alex Tate-Smith
Miss Kayla Vuong
Miss Charlotte Westbrook
Mrs Freya Stansfield
Dr Michelle Edye
Dr Samantha Gan
Applications considered
Stage 1
AI_AWARD02169: Evaluating the clinical impact and cost-effectiveness of utilising an AI solution to increase the recruitment of patients into a dedicated vertebral fracture pathway, as part of an end-to-end fracture liaison service model of care to prevent osteoporotic fractures
Outcome: Invite to Stage 2
AI_AWARD02260: Stroke prevention through targeted atrial fibrillation (AF) detection in primary care using a machine learning approach
Outcome: Invite to Stage 2
AI_AWARD02269: Driving system-wide improvements with real world health economics evidence and subspecialist-led adoption guidelines for full workflow implementation of AI with Paige Prostate cancer detection, grading and quantification tool in Cellular Pathology departments
Outcome: Invite to Stage 2
AI_AWARD02280: eHub – Administrative triage and intelligent automation of online consultations to support Primary Care to plan workforce, work at scale and improve efficiency
Outcome: Invite to Stage 2
AI_AWARD02320: Real-world testing of an autonomous AI algorithm to fast track the diagnosis of lung cancers and rule-out normal chest X-rays to increase radiology capacity
Outcome: Invite to Stage 2
AI_AWARD02451: DERM.AI: Early adoption of AI skin cancer pathways
Outcome: Invite to Stage 2
AI_AWARD02480: Artificial Intelligence (AI) in Lung CT (Computerised Tomography): Evaluation of the ClearRead CT AI application embedded within imaging workflows in clinical practice and its impact on clinical decision support.
Outcome: Invite to Stage 2
AI_AWARD02481: Veye Suite: Delivering an AI-enabled lung cancer pathway to improve patient outcomes and reduce healthcare costs
Outcome: Invite to Stage 2
AI_AWARD02487: AI-Led Intelligent Workforce Solutions, Incorporating AI-Powered Infrastructure-Free Indoor Location Technology
Outcome: Invite to Stage 2
AI_AWARD02147: Fast decision making and better clinical outcomes through the Ethos AI-powered radiotherapy system.
Outcome: Reject
AI_AWARD02155: ColonFlag - High Risk Use Case
Outcome: Reject
AI_AWARD02287: Supporting the fast, accurate, automated identification of rare disease patients in primary care
Outcome: Reject
AI_AWARD02304: Reducing and preventing avoidable harm in hospital to deliver health economy-wide quality improvement and efficiency
Outcome: Reject
AI_AWARD02338: Intelligent Automation to drive efficiencies and savings within the NHS.
Outcome: Reject
AI_AWARD02344: Cloud-based AI autocontouring of Organs at Risk in Radiotherapy
Outcome: Reject
AI_AWARD02351: Improving consistency of care and reducing the cancer patient waiting list through the automated Rapidplan algorithm.
Outcome: Reject
AI_AWARD02362: Diagnosis Stratification (DST) for the Identification, using AI, of Patients with Undiagnosed LTCs or At Risk from LTCs
Outcome: Reject
AI_AWARD02370: Velieve: Smartphone Urinary Tract Infection (UTI) Testing and Treatment
Outcome: Reject
AI_AWARD02413: AI-guided screening, monitoring and coaching of chronically ill patients -system adoption study to support 18,350 patients and prevent 9,000 hospital admissions and 28,000 hospital bed days.
Outcome: Reject
AI_AWARD02415: An AI solution enabling integrated patient care in the community by the delivery of precise community-based monitoring, triage and management of disease.
Outcome: Reject
AI_AWARD02431: SYD for NHS staff - Lifestyle Companion and Population Analytics
Outcome: Reject
AI_AWARD02473: Technology-driven pain assessment in people with dementia: adoption and benefits in acute care.
Outcome: Reject