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Adaptive ClinicallyIntelligent System

The unified interface for managing AI-enabled medical devices, foundation models, agents, and physician expertise into one adaptive clinical brain.

From Lab to Clinic: AI is Being Deployed

This is no longer theoretical. AI is passing regulatory hurdles and proving its value with real-world evidence.

FDA-Approved Medical AI Devices

AI/ML devices cleared by the FDA have jumped from 26 in 2017 to over 1,000 by March 2025.

Real-World Evidence (RWE)

Penda Health & OpenAI (July, 2025)

Study across 39,849 patient visits & 106 clinicians.

Diagnostic Errors

-16%

Reduction vs control

History-Taking Errors

-32%

Reduction vs control

Doctronic (Hayat et al., July 2025)

Analysis of 500 telehealth encounters.

Diagnostic Match

81%

vs. Human Clinician

Treatment Plan Match

99.2%

vs. Human Clinician

Featured FDA-Approved AI Devices

DeepRhythmAI

14x

fewer missed arrhythmias

SKOUT

+27%

adenomas per colonoscopy

Canvas Dx

98%

sensitivity for ASD

Galen Second Read

+3.5%

sensitivity in pathology

The New Wave of Clinical Intelligence

A specialized ecosystem of models and autonomous agents is redefining medical capabilities.

Biomedical Foundation Models

  • 9 Pathology Models powering digital slide analysis.
  • 6 Genomics Models for personalized medicine.
  • 5 Radiology Models transforming imaging workflows.
  • 4 EHR Models unlocking unstructured clinical records.
  • 3 Single-Cell Models decoding cellular biology.

Clinical AI Agents Improvise

Powered by Diverse Clinical Data Modalities

Medical Images

Pathology, CT, MRI

EHR Data

Clinical Records

Genomic Sequences

DNA & RNA

Single-Cell

Transcriptomics

Clinical Reports

Text & Notes

The Challenge

Taming the AI Revolution for Healthcare

Overload of AI tools & devices

New foundation models, AI agents, and medical devices will continuously emerge, creating a complex and ever-growing ecosystem.

Regulatory Protocol

Hospitals and clinicians must have the autonomy to control and customize AI behavior based on their specific needs and expertise.

Clinician Training

Clinicians cannot be expected to master entirely new systems every 12 months as technology evolves, hindering adoption.

Patient Data Security

As data becomes the most valuable asset, robust and secure protocols are essential before sharing it with any AI model or agent.

AI Agents &
Foundation Models

Medical Devices

Genomic Facilities

Diagnostic Imaging

Wearables & EHR

Clinical Notes &
Research

The Solution

An Integrative Clinical Setup: ACLIS

Adaptive Clinically Intelligent System unifies your entire clinical AI landscape, turning disconnected AI tools, agents, medical devices, clinicians wisdom, hospitals AI regulations, EHR into a cohesive intelligent brain.

Universal Integration Hub

Manage all AI tools, devices, and models through one unified, plug-and-play interface.

Clinical AI Protocol

A dynamic core that learns each physician's unique context to deliver personalized AI.

Adaptive Intelligence

Continuously learns from outcomes to create a self-improving clinical ecosystem.

ACLIS Logo

AI Agents &
Foundation Models

Medical Devices

Genomic Facilities

Diagnostic Imaging

Wearables & EHR

Clinical Notes &
Research

USP 1

Universal Integration Hub

ACLIS provides a single, future-proof platform to manage your entire clinical AI ecosystem. Stop juggling vendors and start orchestrating intelligence.

  • Plug-and-Play Ecosystem: Seamlessly connect new AI devices and tools. Their native UIs are accessible directly within ACLIS.
  • Learn One System: Staff only need to learn ACLIS. New technologies become simple additions to a familiar environment, eliminating retraining.
  • Centralized Management: Streamline security, compliance, and deployment for all AI assets from one control plane.
  • Define Clinical AI Protocol: Hospital Management & Physicians can define regulatory control of AI's use case parameters, phenotypic alignment, in-house data AI training etc.
Universal Integration Hub
AI Agents
Medical Devices
Foundation Models
ACLIS

Clinical AI Protocol

Physician

Nurse

Patient

Hospital Admin

USP 2

Agentic Intelligence

The orchestration layer and learning engine of ACLIS. It’s a living system that unifies all protocols, models, and clinical context into one ever-evolving clinical brain.

  • Orchestrates Everything: Unifies all AI agents, devices, and clinical protocols into one evolving system.
  • Secure AI Lab: Powers a doctor-driven environment for secure, in-house model fine-tuning and experimentation.
  • Seamless Adoption: Manages the integration of any new AI agent, medical device, or foundation model into the ecosystem.
The Clinical Brain

Orchestrator Agent

Manages protocols, devices, and agents.

Copilot AI Trainer Lab

Enables secure, in-house model alignment.

New Technology Adoption

Integrates new AI agents, devices & models.

Clinical AI Protocol in Action

Dr. Evans' Oncology Protocol

  • Regulatory Controls: Only approved AI agents may access imaging data. Confidence threshold for alerts set to >95%.
  • Physician Heuristics: "For my local diabetic population, flag HbA1c at 6.8%." This rule is now active for all my patients.
  • Model Alignment Request: "Fine-tune TabPFN on our internal cohort of patients with EGFR L858R mutation to improve prognosis accuracy."

Dr. Chen's Cardiology Protocol

  • Device Preference: Default to GE Vivid E95 for echocardiograms. Auto-load my 'Stress Echo' preset for relevant cases.
  • Alerting Threshold: Notify me if any patient's wearable device detects an AFib episode lasting longer than 5 minutes.
USP 3

Clinical AI Protocol

Complete regulatory power, transparency, and alignment over every AI-Enabled Decision.

  • Physician-Defined Control: Clinicians and administrators decide which AI agents are active, what data they access, and under what clinical parameters.
  • Assistive Intelligence: The system operates on physicians preference of AI's assistance level, includes long term phenotypic clinical notes & existing diagnostic outcomes.
  • Secure In-House Alignment: Fine-tune foundation models on local patient cohorts via the Copilot Trainer, without sensitive data ever leaving your firewall.
  • Dynamic & Proactive Interface: Dashboards are built on-the-fly based on doctor specialty and patient context, with active surveillance for emerging threats.
HawkFranklin Research

Meet the Team Behind ACLIS

A dedicated team of researchers, engineers, and clinicians.

Vatsal Patel

Vatsal Patel

Founder & Research Engineer

Ananya Pal

Ananya Pal

Co-Founder & Manager

Saurav Roy

Saurav Roy

Operations & Marketing Head

Dr. Abhijeet Patel

Dr. Abhijeet Patel

Advisory Physician

© 2025 HawkFranklin Research. All Rights Reserved.

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