Artificial Intelligence: Difference between revisions
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== | == Large Language Models == | ||
*[https | *[https://www.hippocraticai.com/ Hippocratic AI]: Founded 2022 by an experienced team (Munjal Shah, CEO). Pitching a 'safety focused' LLM pre-trained on evidence-based data in healthcare. Raised $65M since May 2023 from General Catalyst, A16Z. | ||
*[https://genhealth.ai GenHealth AI]: Instead of text, their LLM is being trained on medical events data. Led by 1upHealth founder Ricky Sahu. $13M funding, Boston Based. | |||
*[https://co-helm.com Co:Helm]: Streamlining prior auth using Gen AI. $3M seed from Sequoia. | |||
*[ | *[https://www.radmate.ai RadMate]: Rethinking radiologist's reporting workflow using LLMs. YC'24. | ||
*[ | *[https://www.abridge.com Abridge]: GenAI for Clinical Documentation. Pittsburgh based. UPMC led Series A. $150M Series C with LightSpeed in Feb 2024. Total $207M funding. | ||
*[ | |||
*[ | |||
== Computer Vision == | == Computer Vision == | ||
Line 14: | Line 11: | ||
*[http://www.aicure.com AI Cure]: Applying machine learning and computer vision to medication adherence. Smartphone camera can verify if the patient took medication. Raised $15M+. | *[http://www.aicure.com AI Cure]: Applying machine learning and computer vision to medication adherence. Smartphone camera can verify if the patient took medication. Raised $15M+. | ||
*[http://www.gausssurgical.com/ Gauss Surgical]: $24M raised. Computer vision and AI for measuring blood loss during surgery. Since 2011. | *[http://www.gausssurgical.com/ Gauss Surgical]: $24M raised. Computer vision and AI for measuring blood loss during surgery. Since 2011. | ||
*[https://baylabs.io BayLabs]: Applying deep learning to ultrasound imaging | *[https://baylabs.io BayLabs]: Applying deep learning to ultrasound imaging. $5.3M Series A. | ||
*[http://aidence.com/ Aidence]: Medical image analysis. Amsterdam. $2.5M raised. | |||
*[http://paige.ai Paige.AI]: Pathology AI Guidance Engine. Oncology focus. $25M Series A. | |||
*[http://www.qure.ai Qure.ai]: Imaging AI | |||
*[http://www.viz.ai Viz.AI]: AI-based identification of suspected large vessel occlusion (LVO) strokes. $80M+. KPCB, GV. | |||
*[https://www.arterys.com/ Arterys]: AI for radiology workflow. $46M raised. Has FDA approvals. | |||
*[http://www.brainomix.com/ Brainomix]: AI interpretation of brain CT scans of stroke patients. $13M raised. UK based. | |||
*[http://www.md.ai MD.AI]: Annotation tool, algorithms and datasets. | |||
*[http://www.path.ai Path.ai]: AI in Pathology. $75M+ raised. Boston. General Catalyst. | |||
*[https://www.aidoc.com/ AIDoc]: $41.5M raised. Israel. FDA cleared. Analyzes CT exams for a suspected intracranial hemorrhage, then prioritizes workflow for radiologist | |||
*[https://densitas.health/solutions Densitas]: FDA-cleared. $1.3M raised. Canadian. Assesses breast density (associated with increased risk of breast cancer) on digital mammograms. | |||
== Billing == | == Billing == | ||
*[http://www.fathomhealth. | *[http://www.fathomhealth.co Fathom Health]: Applying AI and deep learning NLP to reimbursement. Formerly TinyRx (on-demand prescription delivery service, shut down in May 2016). Raised $7.7M. Google ventures included. | ||
*[http://www.cloudmedxhealth.com/ CloudMedX]: $6.7M raised. Billing optimization. | *[http://www.cloudmedxhealth.com/ CloudMedX]: $6.7M raised. Billing optimization. | ||
*[https://www.alphahealth.com Alpha Health]: Ex-A16Z partner is founder. RCM focus. Stealth but most probably well funded. ?A16Z. | |||
== Therapy Discovery == | == Therapy Discovery == | ||
*[http://www.atomwise.com/ Atomwise]: Drug discovery using AI. Raised $6M+ | *[http://www.atomwise.com/ Atomwise]: Drug discovery using AI. Raised $6M+ | ||
*[http://www.recursionpharma.com/approach.html Recursion Pharmaceuticals]: Drug discovery using AI. $ | *[http://www.recursionpharma.com/approach.html Recursion Pharmaceuticals]: Drug discovery using AI. $58M raised. | ||
*[http://benevolent.ai/about-us/ Benevolent.ai]: AI for drug discovery and bioscience innovation in general. $140M raised. UK based. | *[http://benevolent.ai/about-us/ Benevolent.ai]: AI for drug discovery and bioscience innovation in general. $140M raised. UK based. | ||
*[http://www.gnshealthcare.com/our-approach/ GNS Healthcare]: Machine learning applied for precision medicine. Solutions around patient segmentation, drug discovery. $43M raised. | *[http://www.gnshealthcare.com/our-approach/ GNS Healthcare]: Machine learning applied for precision medicine. Solutions around patient segmentation, drug discovery. $43M raised. | ||
*[http://berghealth.com/platform/ Berg]: Unknown funding. Therapy discovery using omics data. | *[http://berghealth.com/platform/ Berg]: Unknown funding. Therapy discovery using omics data. | ||
*[http://turbine.ai/ Turbine]: Cancer therapeutics using AI. Unknown funding. EU. | *[http://turbine.ai/ Turbine]: Cancer therapeutics using AI. Unknown funding. EU. | ||
*[http://bioagelabs.com BioAge Labs] Drug discovery related to aging. $10.9M Series A led by A16Z. | |||
*[http://qrativ.bio Qrativ]: AI platform to identify treatments for rare diseases. $8.5M. Mayo Clinic. | |||
*[https://www.enginebio.com Engine Bio]: $10M Seed in Jan 2018. | |||
*[http://www.insitro.com Insitro]: Founder is Stanford's Daphne Koller | |||
*[https://www.vergegenomics.com Verge Genomics]: $32M. DFJ. | |||
== Risk Stratification == | == Risk Stratification == | ||
*[http://www.kensci.com KenSci]: Risk stratification of patient populations using ML. UW Tacoma professor founder. $8.5M raised. | *[http://www.kensci.com KenSci]: Risk stratification of patient populations using ML. UW Tacoma professor founder. $8.5M raised. | ||
*[http://lumiata.com/product/ Lumiata]: Healthcare risk management using AI. $20M raised. Khosla Ventures. | *[http://lumiata.com/product/ Lumiata]: Healthcare risk management using AI. $20M raised. Khosla Ventures. | ||
*[https://www.closedloop.ai/home/#product ClosedLoop.ai]: Seed stage | |||
== Chatbots == | == Chatbots == | ||
Line 37: | Line 51: | ||
*[http://www.babylonhealth.com Babylon Health]: $25M raised. UK. | *[http://www.babylonhealth.com Babylon Health]: $25M raised. UK. | ||
*[http://www.elth.ai Elth]: India-based | *[http://www.elth.ai Elth]: India-based | ||
*[http://www.orderlyhealth.com/ Orderly Health]: | |||
*[https://www.botmd.io/en/ Bot MD]: $700K seed. YCombinator. Steve Blank. | |||
*[Http://www.ada.com Ada]: Germany based, funded. $69M+ | |||
== Genomics == | == Genomics == | ||
*[https://www.deepgenomics.com/tech/ Deep Genomics]: Using ML to predict effects of genetic variation on a disease context. $3.7M raised. Canadian. | *[https://www.deepgenomics.com/tech/ Deep Genomics]: Using ML to predict effects of genetic variation on a disease context. $3.7M raised. Canadian. | ||
== Misc.== | |||
*[https://cardiogr.am/ Cardiogram]: Ex-google founders, applying deep learning to mobile health data. Backed by Andreessen Horowitz. | |||
*[http://www.theneura.com Neura]: Using AI to optimize mobile apps and IoT devices for Med adherence. Interesting SDK approach. Raised $13M. Israeli team, located in Sunnyvale. | |||
*[http://www.enlitic.com Enlitic]: SF-based, $15M raised. Applying deep-learning to areas like triage, radiology, screening. | |||
*[http://www.deep6.ai Deep6]: AI-based text analysis of EHRs to find clinical trial candidates. ? Funding. | |||
*[http://www.digitalreasoning.com/proven-solutions-content/healthcare/clinical-documentation#content Digital Reasoning]: Cognitive computing applied to industries. Healthcare focus. $73.9M raised. | |||
*[http://www.physiq.com PhysIQ]: ML applied to biosignals to create a personal baseline. Selling to post-acute providers, pharma (clinical trials), wearable/device manufacturers. $11.9M raised. | |||
*[http://www.dreamed-diabetes.com/technology DreaMed Diabetes]: $5.3M raised from Medtronic. Closed-loop insulin delivery tech. CE mark for artificial pancreas. | |||
*[https://roamanalytics.com Roam Analytics]: ML platform for various applications in healthcare. $21M raised. | |||
*[https://www.hindsait.com/ Hindsait]: Various applications of NLP, ML in Healthcare. Unknown funding. | |||
*[http://www.precisionhealth.ai/product-and-solution.html Precision Health AI]: $20M Series A in 2017. Oncology treatment focus. | |||
*[http://carta.healthcare/ Carta]: ML-based predictive models off of EHR data. Inpatient-focused. Funded by AMV. | |||
*[http://www.eko.ai Eko.ai]: Stealth but something around Echocardiograms. Singapore. | |||
*[http://www.vitaler.com Vital ER]: AI-based ED operational flow insights (predict admissions, staffing needs, etc). Led by ex-Founder of Mint.com Aaron Patzer. $5.2M seed. DFJ, First Round. New Zealand based. Collaborate with Emory University. | |||
*[http://www.care.ai Care.AI]: IoT platform, focused on ROI-based use cases like hand sanitization, falls, pressure ulcers. Make their own hardware. based on Google Coral toolkit. | |||
*[https://closedloop.ai/solutions/ ClosedLoop.AI]: Data science platform for healthcare. Model build/deployment made easier. | |||
*[http://www.owkin.com Owkin]: Applying federated learning to medical research. $18M Series A. GV backed. European team/founders, but based in NYC. |
Latest revision as of 14:02, 5 April 2024
Large Language Models
- Hippocratic AI: Founded 2022 by an experienced team (Munjal Shah, CEO). Pitching a 'safety focused' LLM pre-trained on evidence-based data in healthcare. Raised $65M since May 2023 from General Catalyst, A16Z.
- GenHealth AI: Instead of text, their LLM is being trained on medical events data. Led by 1upHealth founder Ricky Sahu. $13M funding, Boston Based.
- Co:Helm: Streamlining prior auth using Gen AI. $3M seed from Sequoia.
- RadMate: Rethinking radiologist's reporting workflow using LLMs. YC'24.
- Abridge: GenAI for Clinical Documentation. Pittsburgh based. UPMC led Series A. $150M Series C with LightSpeed in Feb 2024. Total $207M funding.
Computer Vision
- Zebra Med: AI applied to medical imaging. $20M raised. Israeli.
- Jvion: Cognitive computing applied to clinical data to make various predictions. $9M raised.
- AI Cure: Applying machine learning and computer vision to medication adherence. Smartphone camera can verify if the patient took medication. Raised $15M+.
- Gauss Surgical: $24M raised. Computer vision and AI for measuring blood loss during surgery. Since 2011.
- BayLabs: Applying deep learning to ultrasound imaging. $5.3M Series A.
- Aidence: Medical image analysis. Amsterdam. $2.5M raised.
- Paige.AI: Pathology AI Guidance Engine. Oncology focus. $25M Series A.
- Qure.ai: Imaging AI
- Viz.AI: AI-based identification of suspected large vessel occlusion (LVO) strokes. $80M+. KPCB, GV.
- Arterys: AI for radiology workflow. $46M raised. Has FDA approvals.
- Brainomix: AI interpretation of brain CT scans of stroke patients. $13M raised. UK based.
- MD.AI: Annotation tool, algorithms and datasets.
- Path.ai: AI in Pathology. $75M+ raised. Boston. General Catalyst.
- AIDoc: $41.5M raised. Israel. FDA cleared. Analyzes CT exams for a suspected intracranial hemorrhage, then prioritizes workflow for radiologist
- Densitas: FDA-cleared. $1.3M raised. Canadian. Assesses breast density (associated with increased risk of breast cancer) on digital mammograms.
Billing
- Fathom Health: Applying AI and deep learning NLP to reimbursement. Formerly TinyRx (on-demand prescription delivery service, shut down in May 2016). Raised $7.7M. Google ventures included.
- CloudMedX: $6.7M raised. Billing optimization.
- Alpha Health: Ex-A16Z partner is founder. RCM focus. Stealth but most probably well funded. ?A16Z.
Therapy Discovery
- Atomwise: Drug discovery using AI. Raised $6M+
- Recursion Pharmaceuticals: Drug discovery using AI. $58M raised.
- Benevolent.ai: AI for drug discovery and bioscience innovation in general. $140M raised. UK based.
- GNS Healthcare: Machine learning applied for precision medicine. Solutions around patient segmentation, drug discovery. $43M raised.
- Berg: Unknown funding. Therapy discovery using omics data.
- Turbine: Cancer therapeutics using AI. Unknown funding. EU.
- BioAge Labs Drug discovery related to aging. $10.9M Series A led by A16Z.
- Qrativ: AI platform to identify treatments for rare diseases. $8.5M. Mayo Clinic.
- Engine Bio: $10M Seed in Jan 2018.
- Insitro: Founder is Stanford's Daphne Koller
- Verge Genomics: $32M. DFJ.
Risk Stratification
- KenSci: Risk stratification of patient populations using ML. UW Tacoma professor founder. $8.5M raised.
- Lumiata: Healthcare risk management using AI. $20M raised. Khosla Ventures.
- ClosedLoop.ai: Seed stage
Chatbots
- Your MD: AI-driven chatbot that does lead gen for care services. $7.3M funded. London based.
- Buoy: $2M raised. Adam Grant (Author) is founder.
- Babylon Health: $25M raised. UK.
- Elth: India-based
- Orderly Health:
- Bot MD: $700K seed. YCombinator. Steve Blank.
- Ada: Germany based, funded. $69M+
Genomics
- Deep Genomics: Using ML to predict effects of genetic variation on a disease context. $3.7M raised. Canadian.
Misc.
- Cardiogram: Ex-google founders, applying deep learning to mobile health data. Backed by Andreessen Horowitz.
- Neura: Using AI to optimize mobile apps and IoT devices for Med adherence. Interesting SDK approach. Raised $13M. Israeli team, located in Sunnyvale.
- Enlitic: SF-based, $15M raised. Applying deep-learning to areas like triage, radiology, screening.
- Deep6: AI-based text analysis of EHRs to find clinical trial candidates. ? Funding.
- Digital Reasoning: Cognitive computing applied to industries. Healthcare focus. $73.9M raised.
- PhysIQ: ML applied to biosignals to create a personal baseline. Selling to post-acute providers, pharma (clinical trials), wearable/device manufacturers. $11.9M raised.
- DreaMed Diabetes: $5.3M raised from Medtronic. Closed-loop insulin delivery tech. CE mark for artificial pancreas.
- Roam Analytics: ML platform for various applications in healthcare. $21M raised.
- Hindsait: Various applications of NLP, ML in Healthcare. Unknown funding.
- Precision Health AI: $20M Series A in 2017. Oncology treatment focus.
- Carta: ML-based predictive models off of EHR data. Inpatient-focused. Funded by AMV.
- Eko.ai: Stealth but something around Echocardiograms. Singapore.
- Vital ER: AI-based ED operational flow insights (predict admissions, staffing needs, etc). Led by ex-Founder of Mint.com Aaron Patzer. $5.2M seed. DFJ, First Round. New Zealand based. Collaborate with Emory University.
- Care.AI: IoT platform, focused on ROI-based use cases like hand sanitization, falls, pressure ulcers. Make their own hardware. based on Google Coral toolkit.
- ClosedLoop.AI: Data science platform for healthcare. Model build/deployment made easier.
- Owkin: Applying federated learning to medical research. $18M Series A. GV backed. European team/founders, but based in NYC.