Medical AI Vendors

Explore 10 Medical AI vendors, with source-linked deployment evidence where available.

Which banking AI vendors have documented deployment evidence?

Based on explicit links to published case studies with cited sources, the vendors with the most documented banking deployments in this directory are Aidoc (8), LeanTaaS (8), Notable Health (8). This is an evidence-count comparison, not a product-quality score or an exhaustive market ranking.

Published vendors: 10
Vendors with documented evidence: 10
Linked deployments: 49

Limitation: Outcomes remain source-reported and may be vendor-published. Missing vendor links, integration data, governance data, or source dates remain unknown and do not prove a vendor lacks capability.

Vendors

With Documented Evidence

Linked Deployments

Compare banking AI vendors by documented deployments

Results are ordered by qualifying published case studies, then vendor name. Paid listing tier never changes evidence eligibility, facts, filters, or comparison order.

Banking segmentUse case

Documented evidence only

Showing 10 of 10 published vendors

Banking AI vendors compared by explicit, source-linked deployment evidence
Vendor	Documented evidence	Segment and use case	Evidence dates	Integration and governance
Aidoc Clinical AI for radiology triage and detection	8 documented deployments View supporting evidence University Hospitals: University Hospitals deploys Aidoc AI platform across 13 hospitals for faster diagnosis of acute conditions Cited source: news.uhhospitals.org 13 Hospitals Covered 17 FDA-Cleared AI Algorithms Available University of Alabama at Birmingham: UAB AI triage system for intracranial hemorrhage detection shows no improvement in radiologist accuracy or turnaround times Cited source: radiologybusiness.com 99.5% Radiologist Accuracy Without AI 99.2% (decrease) Radiologist Accuracy With AI 149.9 minutes vs 147.1 without Report Turnaround Time (Positive Exams, With AI) Everlight Radiology: Everlight Radiology flags 200 monthly incidental PE cases and cuts read times up to 12% with Aidoc AI for NHS Trusts Cited source: www.aidoc.com 200 cases/month Monthly iPE Cases Flagged ~12% Read Time Reduction (Pulmonary Embolism) ~10% Read Time Reduction (Hemorrhagic Stroke) Advocate Health: Advocate Health deploys Aidoc AI imaging platform across 22 sites to benefit 63,000 patients annually with faster diagnoses Cited source: www.aidoc.com 63,000 Patients Benefiting Annually (Projected) 8 million Annual Imaging Studies Across System 22 Pilot Sites Three-Hospital Integrated Health System (unnamed): AI-Driven ICH Triage Reduces Radiologist Turnaround Time to 12.9 Minutes Across Three-Hospital System Cited source: www.aidoc.com 12.9 minutes Mean TAT for New ICH Cases 2.8 minutes faster TAT Reduction vs AI-Negative Cases 61% AI True Positive Rate Asklepios Group: Asklepios Group deploys Aidoc AI radiology platform across 28 hospitals, analyzing 35,000 images monthly Cited source: www.aidoc.com 28 Hospitals Deployed 35,000+ Monthly Images Analyzed Cedars-Sinai: Cedars-Sinai cuts PE intervention time by 40% and saves $500K annually with Aidoc AI-powered PERT workflow Cited source: www.aidoc.com $500,000+ Annual Cost Savings 40% (~7 hours) Time to Intervention Reduction 3 days per patient ICU Stay Reduction Large Academic Institution (unnamed): Large academic institution cuts incidental pulmonary embolism radiologist wait time by 78% with Aidoc AI triage Cited source: www.aidoc.com 78% Wait Time Reduction 37.7 minutes AI-Flagged Median Wait Time 168.5 minutes Standard (Non-Flagged) Median Wait Time	Segments: Hospital & Health System, Imaging & Radiology Use cases: Medical Imaging & Radiology, Patient Flow & Hospital Operations	Corpus published: Mar 28, 2026 Sources checked through: Jul 28, 2026 Per-source dates University Hospitals: source published Not available in structured evidence; link checked Jul 28, 2026 University of Alabama at Birmingham: source published Not available in structured evidence; link checked Jul 28, 2026 Everlight Radiology: source published Not available in structured evidence; link checked Jul 28, 2026 Advocate Health: source published Not available in structured evidence; link checked Jul 28, 2026 Three-Hospital Integrated Health System (unnamed): source published Not available in structured evidence; link checked Jul 28, 2026 Asklepios Group: source published Not available in structured evidence; link checked Jul 28, 2026 Cedars-Sinai: source published Not available in structured evidence; link checked Jul 28, 2026 Large Academic Institution (unnamed): source published Not available in structured evidence; link checked Jul 28, 2026	Integration: Not available in structured evidence Governance: Not available in structured evidence
LeanTaaS AI-driven OR, infusion center, and bed management optimization	8 documented deployments View supporting evidence Providence Health System: Providence captures 6,000 incremental surgical cases and improves block utilization by 5% with AI-powered OR management Cited source: leantaas.com 6,000 in 10 months Incremental Surgical Cases ~5% Block Utilization Improvement 30% Abandoned Block Time Reduction OSF HealthCare: OSF HealthCare cuts 87,000+ minutes of unused block time and grows case volume 4.5% with iQueue for Operating Rooms Cited source: leantaas.com 87,000+ minutes Unused Block Time Reduced 4.8% Prime Time Utilization Increase 4.5% Case Volume Increase MultiCare Health System: MultiCare Health System achieves 16% increase in staffed room utilization and 1,600 incremental cases with AI-powered OR scheduling Cited source: leantaas.com 16% Staffed Room Utilization Increase 1,600 Incremental Cases Generated Leading Indianapolis Health System: Leading Indianapolis Health System saves $1M/year and cuts patient moves 63% with AI-powered inpatient flow optimization Cited source: leantaas.com 63% Patient Move Reduction $1M Annual Savings 250 days/year Usable Capacity Created Baptist Health Arkansas: Baptist Health Arkansas increases patient transfers by 23% with LeanTaaS AI-powered inpatient flow optimization Cited source: leantaas.com 23% Patient Transfers Increase 32% Discharge Processing Time Reduction 34% GMLOS Variance Reduction MultiCare Health System: MultiCare Health System completes 3,200 more surgical cases in one year with 42% boost in case volume via AI-powered OR optimization Cited source: leantaas.com 3,200 Additional Surgical Cases (One Year) 42% Case Volume Increase 14% Prime Time Utilization Improvement Oregon Health & Science University: Oregon Health & Science University reduces abandoned OR blocks by 51% with LeanTaaS iQueue Cited source: leantaas.com 51% Reduction in Abandoned Blocks 25 Additional Cases Per Month in Prime Time 5x Increase in Block Utilization Health First: Health First eliminates 517 avoidable patient days per month with LeanTaaS iQueue Cited source: LeanTaaS 517/month Avoidable Days Eliminated 44% Floating Staff Reduction	Segments: Hospital & Health System Use cases: Patient Flow & Hospital Operations, Surgical & Perioperative Care	Corpus published: Mar 28, 2026 Sources checked through: Jul 28, 2026 Per-source dates Providence Health System: source published Not available in structured evidence; link checked Jul 28, 2026 OSF HealthCare: source published Not available in structured evidence; link checked Jul 28, 2026 MultiCare Health System: source published Not available in structured evidence; link checked Jul 28, 2026 Leading Indianapolis Health System: source published Not available in structured evidence; link checked Jul 28, 2026 Baptist Health Arkansas: source published Not available in structured evidence; link checked Jul 28, 2026 MultiCare Health System: source published Not available in structured evidence; link checked Jul 28, 2026 Oregon Health & Science University: source published Not available in structured evidence; link checked Jul 28, 2026 Health First: source published Not available in structured evidence; link checked Jul 28, 2026	Integration: Not available in structured evidence Governance: Not available in structured evidence
Notable Health AI patient engagement and administrative automation	8 documented deployments View supporting evidence Care New England: Care New England cuts authorization-related write-offs by 55% with Notable AI automation of radiology prior authorizations and NOA Cited source: www.notablehealth.com 55% Authorization Write-off Reduction 2,841 hours Staff Hours Saved $644,000 Projected Write-off & Cost Savings (12 months) Castell: Castell cuts daily chart review time from four hours to one hour with AI-powered population health automation Cited source: www.notablehealth.com 67% Reduction in Chart Time 34 Equivalent FTEs Saved 1.68 minutes Minutes Saved Per Chart North Kansas City Hospital and Meritas Health: North Kansas City Hospital and Meritas Health double new patient appointments with AI-powered intelligent scheduling Cited source: www.notablehealth.com 2x Increase in New Patient Appointments 96% Patient Satisfaction Rate 93% Online Appointments Booked Without Staff Intervention North Kansas City Hospital and Meritas Health: North Kansas City Hospital eliminates 80 open roles and cuts check-in time 90% with Notable AI automation Cited source: www.notablehealth.com 90%+ (4 min → 10 seconds) Check-in Time Reduction 80 open roles FTE Roles Avoided 34% No-Show Decrease Reid Health: Reid Health reduces no-show rates 8% and creates 1,318 additional visits with Notable AI patient engagement automation Cited source: www.notablehealth.com 8% Decrease in No-Show Rates 1,318 Additional Visits Created (6 months) $2M Projected Annual Cost Savings ThedaCare: ThedaCare closes 963 care gaps and saves 350 staff hours in 3 months with Notable AI automation Cited source: www.notablehealth.com 963 Care Gaps Closed (3 months) 350 Staff Hours Saved 89% Patient Satisfaction Rating Austin Regional Clinic: Austin Regional Clinic cuts documentation time by 50% with Notable AI-powered intelligent intake Cited source: www.notablehealth.com 50% Documentation Time Reduction 78% Touchless Registrations 94% Patient Satisfaction Rating Reid Health: Reid Health achieves 63% digital conversion rate and 30% geriatric no-show reduction with Notable automated pre-visit registration Cited source: www.notablehealth.com 63% Digital Conversion Rate 96% Patient Satisfaction Rating 30% Geriatric No-Show Reduction	Segments: Ambulatory & Outpatient, Hospital & Health System Use cases: Clinical Documentation & Patient Records, Medical Coding & Revenue Cycle, Patient Engagement & Access, Patient Flow & Hospital Operations	Corpus published: Mar 28, 2026 Sources checked through: Jul 28, 2026 Per-source dates Care New England: source published Not available in structured evidence; link checked Jul 28, 2026 Castell: source published Not available in structured evidence; link checked Jul 28, 2026 North Kansas City Hospital and Meritas Health: source published Not available in structured evidence; link checked Jul 28, 2026 North Kansas City Hospital and Meritas Health: source published Not available in structured evidence; link checked Jul 28, 2026 Reid Health: source published Not available in structured evidence; link checked Jul 28, 2026 ThedaCare: source published Not available in structured evidence; link checked Jul 28, 2026 Austin Regional Clinic: source published Not available in structured evidence; link checked Jul 28, 2026 Reid Health: source published Not available in structured evidence; link checked Jul 28, 2026	Integration: Not available in structured evidence Governance: Not available in structured evidence
Qventus AI for hospital operations — perioperative, patient flow, and capacity optimization	8 documented deployments View supporting evidence Southeast Health System: Southeast Health System boosts robotic surgical volume 15% YoY with Qventus AI optimization Cited source: www.qventus.com 15% YoY Robotic Procedure Growth 23% General Surgery Volume Increase 8.7% OBGYN Volume Increase Banner Health: Banner Health achieves 7x ROI and 2x block release with Qventus AI-powered OR scheduling Cited source: www.qventus.com 7x Return on Investment 2+ per month Additional Cases per OR 619 additional hours Robotic Capacity Unlocked HonorHealth: HonorHealth saves $69M and creates 181 beds of capacity with Qventus AI-powered care operations Cited source: www.qventus.com $69M Cost Savings from Reduced Excess Days 181 beds Additional Bed Capacity Created 224 Incremental Surgeries Added Per Month HonorHealth: HonorHealth saves $62M and cuts LOS by 0.65 days with Qventus AI-powered inpatient capacity management Cited source: www.qventus.com $62M Cost Savings from Excess Days 50,673 days Cumulative Excess Days Saved 0.65 days Average LOS Reduction per Patient OhioHealth: OhioHealth saves $1.7M in months with Qventus AI-powered discharge planning Cited source: www.fiercehealthcare.com $1.7M Total Cost Savings ~$500,000 First-Month Savings ~2× Decisions Automated vs. Prior Generation Erlanger: Erlanger adds 220 surgical cases per month with Qventus AI-powered surgical growth platform Cited source: www.qventus.com 220 Additional Surgical Cases Per Month 5x Annualized ROI ~25% Robotic Surgical Volume Growth (YoY) Jackson Health: Jackson Health reduces mean excess days by 0.42 days with Qventus AI-powered inpatient capacity automation Cited source: www.qventus.com 0.42 days Mean Excess Days Reduction Erlanger: Erlanger selects Qventus AI to drive strategic surgical growth and maximize OR utilization Cited source: www.qventus.com 11x ROI 220 Surgical Cases Added Per Month	Segments: Hospital & Health System Use cases: Patient Flow & Hospital Operations, Surgical & Perioperative Care	Corpus published: Mar 28, 2026 Sources checked through: Jul 28, 2026 Per-source dates Southeast Health System: source published Not available in structured evidence; link checked Jul 28, 2026 Banner Health: source published Not available in structured evidence; link checked Jul 28, 2026 HonorHealth: source published Not available in structured evidence; link checked Jul 28, 2026 HonorHealth: source published Not available in structured evidence; link checked Jul 28, 2026 OhioHealth: source published Not available in structured evidence; link checked Jul 28, 2026 Erlanger: source published Not available in structured evidence; link checked Jul 28, 2026 Jackson Health: source published Not available in structured evidence; link checked Jul 28, 2026 Erlanger: source published Not available in structured evidence; link checked Jul 28, 2026	Integration: Not available in structured evidence Governance: Not available in structured evidence
Abridge Ambient clinical documentation powered by generative AI	5 documented deployments View supporting evidence Duke Health: Duke Health deploys Abridge ambient AI documentation to 5,000 clinicians across 150+ clinics Cited source: corporate.dukehealth.org 5,000 Clinicians with Access 150+ Clinics Covered Corewell Health: Corewell Health achieves 48% reduction in after-hours documentation and 53% burnout reduction with Abridge AI Cited source: www.abridge.com 48% After-Hours Documentation Reduction 53% Burnout Rate Reduction 61% Cognitive Load Reduction Kaiser Permanente: Kaiser Permanente deploys Abridge ambient AI documentation across 40 hospitals to reduce physician administrative burden Cited source: about.kaiserpermanente.org 40 Hospitals Covered 600+ Medical Offices Covered 12.5 million Members Served Johns Hopkins Medicine: Johns Hopkins Medicine boosts patient satisfaction 5 points with Abridge AI ambient documentation Cited source: www.abridge.com ~5 percentage points Patient Satisfaction Score Increase Multiple U.S. Health Systems (incl. Yale New Haven Health System): Abridge AI Scribes Reduce Physician Burnout by 74% Across Six U.S. Health Systems Cited source: medicine.yale.edu 74% Reduction in Burnout Odds 51.9% Physicians Reporting Burnout (Before) 38.8% Physicians Reporting Burnout (After)	Segments: Hospital & Health System Use cases: Clinical Documentation & Patient Records	Corpus published: Mar 28, 2026 Sources checked through: Jul 28, 2026 Per-source dates Duke Health: source published Not available in structured evidence; link checked Jul 28, 2026 Corewell Health: source published Not available in structured evidence; link checked Jul 28, 2026 Kaiser Permanente: source published Not available in structured evidence; link checked Jul 28, 2026 Johns Hopkins Medicine: source published Not available in structured evidence; link checked Jul 28, 2026 Multiple U.S. Health Systems (incl. Yale New Haven Health System): source published Not available in structured evidence; link checked Jul 28, 2026	Integration: Not available in structured evidence Governance: Not available in structured evidence
Viz.ai AI-powered care coordination for stroke, cardiac, and pulmonary conditions	5 documented deployments View supporting evidence CHI Memorial: CHI Memorial reduces LVO diagnosis time by 44% and projects $36.7M reimbursement benefit with Viz.ai stroke coordination Cited source: evtoday.com 44.13% Door-to-LVO-Diagnosis Time Reduction $36.7 million Projected PSC Reimbursement Shift Adventist Health Rideout: Adventist Health Rideout cuts stroke transfer time by 46% with Viz.ai CT scan AI Cited source: health.ucdavis.edu ~46% (202 min → 109 min) Door-in-Door-Out Time Reduction 109 minutes average Post-Implementation Transfer Time ~6 minutes (Viz.ai national average) Scan-to-Provider Alert Time Adventist Health and Rideout: Adventist Health and Rideout cuts stroke transfer times 44% with Viz.ai AI-powered care coordination Cited source: neuronewsinternational.com 44% (202 min → 113 min) DIDO Time Reduction 84% CTA-to-Detection Time Reduction 45 min → 7 min Care-Team Notification Time Adventist Health Rideout: Adventist Health + Rideout achieves 44% reduction in interfacility stroke transfer times with Viz.ai Cited source: www.viz.ai 44% (202 min → 113 min) DIDO Time Reduction 84% CTA-to-Detection Time Reduction 45 min → 7 min Care-Team Notification Time Valley Baptist Medical Center: Valley Baptist reduces stroke length of stay with Viz.ai automated LVO detection Cited source: Viz.ai Reduced Length of Stay Impact Automated LVO notification Detection	Segments: Hospital & Health System Use cases: Medical Imaging & Radiology, Patient Flow & Hospital Operations	Corpus published: Mar 28, 2026 Sources checked through: Jul 28, 2026 Per-source dates CHI Memorial: source published Not available in structured evidence; link checked Jul 28, 2026 Adventist Health Rideout: source published Not available in structured evidence; link checked Jul 28, 2026 Adventist Health and Rideout: source published Not available in structured evidence; link checked Jul 28, 2026 Adventist Health Rideout: source published Not available in structured evidence; link checked Jul 28, 2026 Valley Baptist Medical Center: source published Not available in structured evidence; link checked Jul 28, 2026	Integration: Not available in structured evidence Governance: Not available in structured evidence
SafelyYou AI-powered fall prevention for senior care communities	3 documented deployments View supporting evidence ONELIFE Senior Living: ONELIFE Senior Living achieves sub-2-minute fall response times across 13 communities with SafelyYou AI Cited source: www.onelifeseniorliving.com Under 2 minutes (vs. 40-minute industry average) Fall Response Time 174 Intentional Self-Lowering Events Identified (74-day pilot) Over 99% Fall Detection Accuracy Unnamed memory care facility (SafelyYou UC Berkeley pilot): SafelyYou AI fall detection reduces ER visits 80% in initial memory care pilot Cited source: www.nia.nih.gov 80% ER Visit Reduction Merrill Gardens: Merrill Gardens keeps residents 5+ months longer with SafelyYou fall prevention AI Cited source: SafelyYou 5+ months Extended Resident Stay 592 Residents Monitored	Segments: Senior & Home Health Use cases: Patient Safety & Fall Prevention	Corpus published: Mar 28, 2026 Sources checked through: Jul 28, 2026 Per-source dates ONELIFE Senior Living: source published Not available in structured evidence; link checked Jul 28, 2026 Unnamed memory care facility (SafelyYou UC Berkeley pilot): source published Not available in structured evidence; link checked Jul 28, 2026 Merrill Gardens: source published Not available in structured evidence; link checked Jul 28, 2026	Integration: Not available in structured evidence Governance: Not available in structured evidence
Eleos Health AI-augmented behavioral health and therapy documentation	2 documented deployments View supporting evidence Gulf Coast Center: Gulf Coast Center achieves 8x ROI and $942K revenue gains with Eleos AI documentation and compliance Cited source: eleos.health 8x Total ROI $942K Annualized Revenue Gains 19% Staff Turnover Reduction Lighthouse Behavioral Wellness Centers: Lighthouse Behavioral Wellness Centers achieves 93% clinician satisfaction and reduces note completion to 3-4 minutes with Eleos AI Cited source: eleos.health 3–4 minutes (vs. 12–15 min industry avg) Note Completion Time 93% Staff Satisfaction ~100% of eligible users User Adoption	Segments: Mental & Behavioral Health Use cases: Clinical Documentation & Patient Records	Corpus published: Mar 28, 2026 Sources checked through: Jul 28, 2026 Per-source dates Gulf Coast Center: source published Not available in structured evidence; link checked Jul 28, 2026 Lighthouse Behavioral Wellness Centers: source published Not available in structured evidence; link checked Jul 28, 2026	Integration: Not available in structured evidence Governance: Not available in structured evidence
Insilico Medicine AI drug discovery — target to Phase 1 in under 30 months	1 documented deployment View supporting evidence Insilico Medicine: Insilico Medicine discovers IPF drug candidate ISM001-055 in 18 months for $2M using generative AI Cited source: www.fiercebiotech.com 18 months Time to Phase 1 Readiness ~$2 million Discovery Cost Positive (lung function improvement, favorable safety profile) Phase 2a Outcome	Segments: Pharmaceutical & Life Science Use cases: Drug Discovery & Development	Corpus published: Mar 28, 2026 Sources checked through: Jul 28, 2026 Per-source dates Insilico Medicine: source published Not available in structured evidence; link checked Jul 28, 2026	Integration: Not available in structured evidence Governance: Not available in structured evidence
Pearl AI FDA-cleared AI dental diagnostics for X-ray analysis	1 documented deployment View supporting evidence MI Smiles Dental Group: MI Smiles Dental Group improves case acceptance with Pearl AI visual x-ray analysis Cited source: www.drbicuspid.com	Segments: Dental & Oral Health Use cases: Medical Imaging & Radiology	Corpus published: Mar 28, 2026 Sources checked through: Jul 28, 2026 Per-source dates MI Smiles Dental Group: source published Not available in structured evidence; link checked Jul 28, 2026	Integration: Not available in structured evidence Governance: Not available in structured evidence

How this comparison is built

Selection and ordering

Every published vendor remains discoverable.
Only explicit links to published case studies with cited source URLs count as deployment evidence.
Comparison order is evidence count, then vendor name; payment never moves it.
Filters use maintained segment and use-case fields only.

Fit and limitations

Fit: an evidence-led starting point for a banking AI shortlist when named deployments and cited sources matter.

Poor fit: an exhaustive market map or an RFP requiring maintained integration, governance, price, or independently audited performance data.

Missing evidence remains unknown, not zero. Outcomes are reported by cited sources and may be vendor-published; a source-link check confirms reachability, not independent verification. Vendor type, integration, governance, and source publication dates are not complete enough to filter. Read the full methodology.