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Artificial Intelligence Health and Care Award Competition 2, Phase 3, Stage 1 Sub-Panel Meeting Minutes

Contents

Date and location

Held on Thursday 21 January 2021 via online virtual meeting.

In attendance:

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_AWARD02176: Real world testing of Mental Health enabled AI as an early intervention and support tool in the mental health referral care pathway
Outcome: Invite to Stage 2

AI_AWARD02177: Brave AI: Supporting Primary Care Networks to Prevent Emergency Admissions
Outcome: Invite to Stage 2

AI_AWARD02182: Clinical Decision Tool to Reduce Placental Disorders in Pregnancy - a multi-centre cluster RCT
Outcome: Invite to Stage 2

AI_AWARD02195: An NHS cloud based platform for diagnosing and staging liver biopsies from patients with NAFLD using Artificial Intelligence Deep Learning approach
Outcome: Invite to Stage 2

AI_AWARD02204: Real-world Implementation and Evaluation of an AI decision support software (ArtiQ.Spiro) into primary care respiratory diagnostic pathways
Outcome: Invite to Stage 2

AI_AWARD02253: Open-source AI to augment and accelerate radiotherapy workflows across the NHS
Outcome: Invite to Stage 2

AI_AWARD02257: Augmenting musculoskeletal radiology with the use of AI
Outcome: Invite to Stage 2

AI_AWARD02266: DOLCE: Determining the impact of the Optellum Lung Cancer Prediction (LCP) AI for risk stratification of lung nodules on service utilisation, health economics and patient outcomes
Outcome: Invite to Stage 2

AI_AWARD02272: Smarter Pathways – An AI-enabled toolkit for pathway management and decision support in complex care.
Outcome: Invite to Stage 2

AI_AWARD02283: Adoption of machine learning models to stratify risk and predict COPD exacerbation and mortality
Outcome: Invite to Stage 2

AI_AWARD02288: Clinical validation of an artificial intelligence system to improve the quality, efficiency and experience of breast cancer screening
Outcome: Invite to Stage 2

AI_AWARD02325: AI remote patient monitoring with seizure detection and analysis to improve the diagnosis and treatment of the epilepsies.
Outcome: Invite to Stage 2

AI_AWARD02354: Evaluation of qER as a triage system for acute head injury to improve patient outcomes and operational efficiency
Outcome: Invite to Stage 2

AI_AWARD02361: Cogstack Natural Language Processing (NLP) AI based clinical coding and data processing for transformation and improvement of research, planning and care
Outcome: Invite to Stage 2

AI_AWARD02366: The Tribe Project: Directly addressing social care inequality through the application of AI.
Outcome: Invite to Stage 2

AI_AWARD02411: The application of AI for assessing mammography clinical image quality and breast density to improve workflows and operational efficiencies, and cost-effectively deliver standardized and equitable breast cancer screening services in the NHS
Outcome: Invite to Stage 2

AI_AWARD02443: CaRi-HEART: Real-world impact of AI cardiovascular risk prediction from routine CT scans
Outcome: Invite to Stage 2

AI_AWARD02477: Real-world testing of BioMind: a study to evaluate clinical efficacy, safety, adoption pathways of an AI diagnostic support neuro-imaging solution
Outcome: Invite to Stage 2

AI_AWARD02493: Real-world validation of an AI stroke triaging and diagnosis solution across a full Scottish network
Outcome: Invite to Stage 2

AI_AWARD02181: Using natural language processing and intelligent automation to reduce the administrative burden on document triage, classification and coding within Primary Care.
Outcome: Reject

AI_AWARD02194: Real World Testing of Subcutaneous EEG with AI-Led analysis (SEAL)
Outcome: Reject

AI_AWARD02196: Promoting Independence through Prediction and Prevention (PIPP) - applying AI and Machine Learning to data analytics to make better decisions
Outcome: Reject

AI_AWARD02206: CancerAIR - Automated Triage for Oncology OPD & Follow up
Outcome: Reject

AI_AWARD02208: A study at Six NHS Trusts to assess efficacy and cost-effectiveness of the Ultramed MyPreOp digital preoperative assessment service using AI decision support
Outcome: Reject

AI_AWARD02212: Contactless screening for diabetic neuropathy- a new normal approach using artificial intelligence modelling.
Outcome: Reject

AI_AWARD02215: Serenus.AI: AI/ML solution to triage waiting lists and streamline referrals for NHS elective orthopaedic pathways
Outcome: Reject

AI_AWARD02261: Intellin- Diabetes Management Platform - Secondary Care Pilot
Outcome: Reject

AI_AWARD02263: OpenCARE - Delivery of world leading AI into Cardiac Centres
Outcome: Reject

AI_AWARD02328: Maximising Operational Efficiency and Patient Safety in the Cardiac Catheter Lab
Outcome: Reject

AI_AWARD02336: Patient Experience Platform: Real-world testing of Natural Language Processing (NLP) on cancer patients' “Digital Voices” to improve cancer triaging, care outcomes & patient experience through the application of real-time insights.
Outcome: Reject

AI_AWARD02339: AURA AI
Outcome: Reject

AI_AWARD02345: AI Autocontouring for Clinical Target Volumes on CT imaging in Radiotherapy
Outcome: Reject

AI_AWARD02358: Assessment of the potential to streamline the identification of Coronary Artery Disease in people referred to chest pain clinics and in primary care through the adoption of a novel, low cost AI-based ischaemia screening technology.
Outcome: Reject

AI_AWARD02368: SPOT: Digital Wound Management
Outcome: Reject

AI_AWARD02369: Man and Machine: PCD, a model to develop diagnosistics using interactive deep learning
Outcome: Reject

AI_AWARD02372: 24/7 Total Triage and redirection by Klinik AI - in depth evaluation across three UK regions
Outcome: Reject

AI_AWARD02377: Empowering Medical Applications (EMA)
Outcome: Reject

AI_AWARD02389: PASCAID : PAn Scotland Collaboration for the deployment and adoption of Artificial Intelligence in healthcare Diagnostics
Outcome: Reject

AI_AWARD02401: Real-world testing of a pre-hospital X-ray imaging and combined Lunit artificial intelligence platform to improve clinical decision-making and patient outcomes amongst frail and vulnerable patient cohorts in the community.
Outcome: Reject

AI_AWARD02419: NHS Impact of Implementation of a breakthrough AI-guided ultrasound acquisition device into Clinical Care workflow to improve patient access to echocardiography
Outcome: Reject

AI_AWARD02461: AI to support the automated processing of health information queries in to the Orb App
Outcome: Reject

AI_AWARD02468: Real-world evaluation of ART-Plan: using AI-Guided radiotherapy (RT) to improve quality and address NHS RT workforce challenges
Outcome: Reject

AI_AWARD02472: Improving the efficiency of investigation of carpal tunnel syndrome using an AI tool to triage patients presenting with hand symptoms.
Outcome: Reject

AI_AWARD02479: Staged real world evaluation and prospective trial of stand-alone reporting of normal CXR by AI in a DGH setting: Benefits to report turnaround time and survey of patient and referrer attitudes to autonomous AI reports.
Outcome: Reject